Go

Affaan Mustafa · affaan-m/everything-claude-code

270k

Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications. Use when writing or reviewing Go code and idiomatic structure or conventions are in question.

Affaan Mustafa · affaan-m/everything-claude-code

270k

Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices. Use when writing Go tests — table-driven cases, subtests, benchmarks, fuzzing, or coverage.

google-gemini/gemini-cli

107k

Main Agents: Do NOT use this skill directly. If you need to test the TUI, invoke the `tui_tester` subagent. Drive terminal UI (TUI) applications programmatically for testing, automation, and inspection. Use when: automating CLI/TUI interactions, regression testing terminal apps, or verifying interactive behavior. Also use when: user asks "what is agent-tui", "what does agent-tui do", "demo agent-tui", "show me agent-tui", "how does agent-tui work", or wants to see it in action.

google-gemini/gemini-cli

107k

An open-source AI agent that brings the power of Gemini directly into your terminal.

google-gemini/gemini-cli

107k

Trigger this skill when the user wants to start an asynchronous PR review, run background checks on a PR, or check the status of a previously started async PR review.

google-gemini/gemini-cli

107k

Guidance for creating, running, fixing, and promoting behavioral evaluations. Use when verifying agent decision logic, debugging failures, debugging prompt steering, or adding workspace regression tests.

google-gemini/gemini-cli

107k

An open-source AI agent that brings the power of Gemini directly into your terminal.

google-gemini/gemini-cli

107k

Use this skill to review code. It supports both local changes (staged or working tree) and remote Pull Requests (by ID or URL). It focuses on correctness, maintainability, and adherence to project standards.

google-gemini/gemini-cli

107k

Explores the repository to locate primary source files, coupled UI components, and test files for bug reports or feature requests.

google-gemini/gemini-cli

107k

Expertise in auditing and fixing repository scripts and GitHub Actions workflows to ensure technical robustness and security.

google-gemini/gemini-cli

107k

Generates and formats changelog files for a new release based on provided version and raw changelog data.

google-gemini/gemini-cli

107k

Always use this skill when the task involves writing, reviewing, or editing files in the `/docs` directory or any `.md` files in the repository.

google-gemini/gemini-cli

107k

Estimates the implementation effort required to address the given issue.

google-gemini/gemini-cli

107k

An open-source AI agent that brings the power of Gemini directly into your terminal.

google-gemini/gemini-cli

107k

A friendly greeter skill

google-gemini/gemini-cli

107k

Expertise in maintaining persistent bot memory, synchronizing with previous sessions via the Task Ledger, and preserving decision logs.

google-gemini/gemini-cli

107k

Expertise in analyzing time-series repository health metrics, investigating root causes, and proposing proactive workflow improvements.

google-gemini/gemini-cli

107k

Speak like a pirate.

google-gemini/gemini-cli

107k

Use this skill if the user asks you to help them address GitHub PR comments for their current branch of the Gemini CLI. Requires `gh` CLI tool.

google-gemini/gemini-cli

107k

An open-source AI agent that brings the power of Gemini directly into your terminal.

google-gemini/gemini-cli

107k

Expertise in managing the Git and GitHub Pull Request lifecycle, including staging changes, generating PR descriptions, and branch management.

google-gemini/gemini-cli

107k

Evaluates whether a GitHub issue is spam, empty, needs more information, or is OK to proceed.

google-gemini/gemini-cli

107k

Use this skill during code reviews to proactively investigate the codebase for duplicated functionality, reinvented wheels, or failure to reuse existing project best practices and shared utilities.

google-gemini/gemini-cli

107k

An open-source AI agent that brings the power of Gemini directly into your terminal.

google-gemini/gemini-cli

107k

Generates a structured Workable Spec JSON to guide a Developer Worker.

google-gemini/gemini-cli

107k

Use this skill when asked to review text and user-facing strings within the codebase. It ensures that these strings follow rules on clarity, usefulness, brevity and style.

google-gemini/gemini-cli

107k

Expert guidance for testing Gemini CLI behavior and visual output using terminal automation.

infiniflow/ragflow

92k

Go naming conventions and best practices. Use this skill when working with Go code and need to name packages, files, directories, structs, interfaces, functions, variables, or constants. Provides comprehensive naming guidelines following Go community standards.

Seth Hobson · wshobson/agents

40k

Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.

Seth Hobson · wshobson/agents

40k

Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions.

Seth Hobson · wshobson/agents

40k

Master Godot 4 GDScript patterns including signals, scenes, state machines, and optimization. Use when building Godot games, implementing game systems, or learning GDScript best practices.

Seth Hobson · wshobson/agents

40k

Preflight and diagnose the ten known failure modes for ML training on NVIDIA DGX Spark. Use when a training run on DGX Spark fails to start, OOMs below the 128GB limit, slows down mid-run, or before any multi-hour training job on GB10.

github/awesome-copilot

40k

Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)

github/awesome-copilot

40k

Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.

github/awesome-copilot

40k

Govern Power Automate flows and Power Apps at scale using the FlowStudio MCP cached store. Classify flows by business impact, detect orphaned resources, audit connector usage, enforce compliance standards, manage notification rules, and compute governance scores — all without Dataverse or the CoE Starter Kit. Load this skill when asked to: tag or classify flows, set business impact, assign ownership, detect orphans, audit connectors, check compliance, compute archive scores, manage notification rules, run a governance review, generate a compliance report, offboard a maker, or any task that involves writing governance metadata to flows. Requires a FlowStudio for Teams or MCP Pro+ subscription — see https://mcp.flowstudio.app

github/awesome-copilot

40k

Generate a complete Go MCP server project with proper structure, dependencies, and implementation using the official github.com/modelcontextprotocol/go-sdk.

github/awesome-copilot

40k

Discovers and integrates third-party APIs using the context-matic MCP server. Uses `fetch_api` to find available API SDKs, `ask` for integration guidance, `model_search` and `endpoint_search` for SDK details. Use when the user asks to integrate a third-party API, add an API client, implement features with an external API, or work with any third-party API or SDK.

github/awesome-copilot

40k

Design, implement, review, or refactor native macOS 27 Golden Gate interfaces in SwiftUI or AppKit. Use when a Mac app must match Apple's current macOS 27 UI kit and restrained Liquid Glass language: integrated windows, full-height sidebars, native toolbars, flat lists, tables, and forms, clear pane boundaries, accessible materials, and removal of unnecessary nested cards, framed panels, or glassmorphism. Also use for Figma macOS 27 design-to-code work and audits of interfaces that feel too boxed.

github/awesome-copilot

40k

Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.

github/awesome-copilot

40k

Find which of a GitHub repository's dependencies are sponsorable via GitHub Sponsors. Uses deps.dev API for dependency resolution across npm, PyPI, Cargo, Go, RubyGems, Maven, and NuGet. Checks npm funding metadata, FUNDING.yml files, and web search. Verifies every link. Shows direct and transitive dependencies with OSSF Scorecard health data. Invoke with /sponsor followed by a GitHub owner/repo (e.g. "/sponsor expressjs/express").

Google Research · google-research/timesfm

34k

Zero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Supports both basic forecasting and advanced covariate forecasting (XReg) with dynamic and static exogenous variables. Automatically checks system RAM/GPU before loading the model, validates dataset fit before processing, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model and handle your specific dataset.

Daniel Avila · davila7/claude-code-templates

32k

Master Go 1.21+ with modern patterns, advanced concurrency, performance optimization, and production-ready microservices.

Daniel Avila · davila7/claude-code-templates

32k

Analyze Google Analytics data, review website performance metrics, identify traffic patterns, and suggest data-driven improvements. Use when the user asks about analytics, website metrics, traffic analysis, conversion rates, user behavior, or performance optimization.

Daniel Avila · davila7/claude-code-templates

32k

Provides expert guidance on authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.

Daniel Avila · davila7/claude-code-templates

32k

Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs, NAT, firewall, or threat logs, querying latency and throughput metrics, or running Connectivity Tests for path diagnostics.

Daniel Avila · davila7/claude-code-templates

32k

Guides developers through their first steps on Google Cloud, covering account creation, billing setup, project management, CLI installation, and deploying a first resource.

Daniel Avila · davila7/claude-code-templates

32k

Generates cost optimization guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF). Use to evaluate a workload, identify cost requirements and constraints, and provide actionable recommendations for building cost-efficient workloads on Google Cloud.

Daniel Avila · davila7/claude-code-templates

32k

Generates reliability-focused guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework. Use to evaluate a workload, identify reliability requirements, and provide actionable recommendations for building resilient, highly available systems.

Daniel Avila · davila7/claude-code-templates

32k

Generates security-focused guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF). Use to evaluate a workload, identify security requirements, and provide actionable recommendations for IAM, network security, data protection, and operational security.

Google Workspace · googleworkspace/cli

31k

Google Workspace Admin SDK: Audit logs and usage reports.

Google Workspace · googleworkspace/cli

31k

Google Calendar: Manage calendars and events.

Google Workspace · googleworkspace/cli

31k

Google Calendar: Show upcoming events across all calendars.

Google Workspace · googleworkspace/cli

31k

Google Calendar: Create a new event.

Google Workspace · googleworkspace/cli

31k

Google Chat: Manage Chat spaces and messages.

Google Workspace · googleworkspace/cli

31k

Google Chat: Send a message to a space.

Google Workspace · googleworkspace/cli

31k

Google Classroom: Manage classes, rosters, and coursework.

Google Workspace · googleworkspace/cli

31k

Read and write Google Docs.

Google Workspace · googleworkspace/cli

31k

Google Docs: Append text to a document.

Google Workspace · googleworkspace/cli

31k

Google Drive: Manage files, folders, and shared drives.

Google Workspace · googleworkspace/cli

31k

Google Drive: Upload a file with automatic metadata.

Google Workspace · googleworkspace/cli

31k

Subscribe to Google Workspace events.

Google Workspace · googleworkspace/cli

31k

Google Workspace Events: Renew/reactivate Workspace Events subscriptions.

Google Workspace · googleworkspace/cli

31k

Google Workspace Events: Subscribe to Workspace events and stream them as NDJSON.

Google Workspace · googleworkspace/cli

31k

Read and write Google Forms.

Google Workspace · googleworkspace/cli

31k

Gmail: Send, read, and manage email.

Google Workspace · googleworkspace/cli

31k

Gmail: Forward a message to new recipients.

Google Workspace · googleworkspace/cli

31k

Gmail: Reply to a message (handles threading automatically).

Google Workspace · googleworkspace/cli

31k

Gmail: Reply-all to a message (handles threading automatically).

Google Workspace · googleworkspace/cli

31k

Gmail: Send an email.

Google Workspace · googleworkspace/cli

31k

Gmail: Show unread inbox summary (sender, subject, date).

Google Workspace · googleworkspace/cli

31k

Gmail: Watch for new emails and stream them as NDJSON.

Google Workspace · googleworkspace/cli

31k

Manage Google Keep notes.

Google Workspace · googleworkspace/cli

31k

Manage Google Meet conferences.

Google Workspace · googleworkspace/cli

31k

Google Model Armor: Filter user-generated content for safety.

Google Workspace · googleworkspace/cli

31k

Google Model Armor: Create a new Model Armor template.

Google Workspace · googleworkspace/cli

31k

Google Model Armor: Sanitize a user prompt through a Model Armor template.

Google Workspace · googleworkspace/cli

31k

Google Model Armor: Sanitize a model response through a Model Armor template.

Google Workspace · googleworkspace/cli

31k

Google People: Manage contacts and profiles.

Google Workspace · googleworkspace/cli

31k

gws CLI: Shared patterns for authentication, global flags, and output formatting.

Google Workspace · googleworkspace/cli

31k

Google Sheets: Read and write spreadsheets.

Google Workspace · googleworkspace/cli

31k

Google Sheets: Append a row to a spreadsheet.

Google Workspace · googleworkspace/cli

31k

Google Sheets: Read values from a spreadsheet.

Google Workspace · googleworkspace/cli

31k

Google Slides: Read and write presentations.

Google Workspace · googleworkspace/cli

31k

Google Tasks: Manage task lists and tasks.

Google Workspace · googleworkspace/cli

31k

Google Workflow: Cross-service productivity workflows.

Google Workspace · googleworkspace/cli

31k

Google Workflow: Convert a Gmail message into a Google Tasks entry.

Google Workspace · googleworkspace/cli

31k

Google Workflow: Announce a Drive file in a Chat space.

Google Workspace · googleworkspace/cli

31k

Google Workflow: Prepare for your next meeting: agenda, attendees, and linked docs.

Google Workspace · googleworkspace/cli

31k

Google Workflow: Today's meetings + open tasks as a standup summary.

Google Workspace · googleworkspace/cli

31k

Google Workflow: Weekly summary: this week's meetings + unread email count.

Google Workspace · googleworkspace/cli

31k

Create, organize, and distribute content across Workspace.

Google Workspace · googleworkspace/cli

31k

Manage customer support — track tickets, respond, escalate issues.

Google Workspace · googleworkspace/cli

31k

Plan and manage events — scheduling, invitations, and logistics.

Google Workspace · googleworkspace/cli

31k

Manage an executive's schedule, inbox, and communications.

Google Workspace · googleworkspace/cli

31k

Handle HR workflows — onboarding, announcements, and employee comms.

Google Workspace · googleworkspace/cli

31k

Administer IT — monitor security and configure Workspace.

Google Workspace · googleworkspace/cli

31k

Coordinate projects — track tasks, schedule meetings, and share docs.

Google Workspace · googleworkspace/cli

31k

Organize research — manage references, notes, and collaboration.

Google Workspace · googleworkspace/cli

31k

Manage sales workflows — track deals, schedule calls, client comms.

Google Workspace · googleworkspace/cli

31k

Lead a team — run standups, coordinate tasks, and communicate.

Google Workspace · googleworkspace/cli

31k

Export a Google Sheets spreadsheet as a CSV file for local backup or processing.

Google Workspace · googleworkspace/cli

31k

Add a list of attendees to an existing Google Calendar event and send notifications.

Google Workspace · googleworkspace/cli

31k

Create recurring focus time blocks on Google Calendar to protect deep work hours.

Google Workspace · googleworkspace/cli

31k

List and download all files from a Google Drive folder.

Google Workspace · googleworkspace/cli

31k

Retrieve and review responses from a Google Form.

Google Workspace · googleworkspace/cli

31k

Read data from two tabs in a Google Sheet to compare and identify differences.

Google Workspace · googleworkspace/cli

31k

Duplicate a Google Sheets template tab for a new month of tracking.

Google Workspace · googleworkspace/cli

31k

Create a Google Classroom course and invite students.

Google Workspace · googleworkspace/cli

31k

Copy a Google Docs template, fill in content, and share with collaborators.

Google Workspace · googleworkspace/cli

31k

Read event data from a Google Sheets spreadsheet and create Google Calendar entries for each row.

Google Workspace · googleworkspace/cli

31k

Set up a Google Sheets spreadsheet for tracking expenses with headers and initial entries.

Google Workspace · googleworkspace/cli

31k

Create a Google Form for feedback and share it via Gmail.

Google Workspace · googleworkspace/cli

31k

Create a Gmail filter to automatically label, star, or categorize incoming messages.

Google Workspace · googleworkspace/cli

31k

Create a Google Meet meeting space and share the join link.

Google Workspace · googleworkspace/cli

31k

Create a new Google Slides presentation and add initial slides.

Google Workspace · googleworkspace/cli

31k

Create a Google Shared Drive and add members with appropriate roles.

Google Workspace · googleworkspace/cli

31k

Set up a new Google Tasks list with initial tasks.

Google Workspace · googleworkspace/cli

31k

Enable a Gmail out-of-office auto-reply with a custom message and date range.

Google Workspace · googleworkspace/cli

31k

Read content from a Google Doc and use it as the body of a Gmail message.

Google Workspace · googleworkspace/cli

31k

Share a Google Drive file and email the link with a message to recipients.

Google Workspace · googleworkspace/cli

31k

Query Google Calendar free/busy status for multiple users to find a meeting slot.

Google Workspace · googleworkspace/cli

31k

Identify large Google Drive files consuming storage quota.

Google Workspace · googleworkspace/cli

31k

Find Gmail messages with a specific label and forward them to another address.

Google Workspace · googleworkspace/cli

31k

Read data from a Google Sheet and create a formatted Google Docs report.

Google Workspace · googleworkspace/cli

31k

Apply Gmail labels to matching messages and archive them to keep your inbox clean.

Google Workspace · googleworkspace/cli

31k

Append a deal status update to a Google Sheets sales tracking spreadsheet.

Google Workspace · googleworkspace/cli

31k

Create a Google Drive folder structure and move files into the right locations.

Google Workspace · googleworkspace/cli

31k

Review your Google Calendar week, identify gaps, and add events to fill them.

Google Workspace · googleworkspace/cli

31k

Create a Google Docs post-mortem, schedule a Google Calendar review, and notify via Chat.

Google Workspace · googleworkspace/cli

31k

Move a Google Calendar event to a new time and automatically notify all attendees.

Google Workspace · googleworkspace/cli

31k

Review who attended a Google Meet conference and for how long.

Google Workspace · googleworkspace/cli

31k

Find Google Tasks that are past due and need attention.

Google Workspace · googleworkspace/cli

31k

Find Gmail messages with attachments and save them to a Google Drive folder.

Google Workspace · googleworkspace/cli

31k

Save a Gmail message body into a Google Doc for archival or reference.

Google Workspace · googleworkspace/cli

31k

Create a recurring Google Calendar event with attendees.

Google Workspace · googleworkspace/cli

31k

Send a team announcement via both Gmail and a Google Chat space.

Google Workspace · googleworkspace/cli

31k

Share a Google Docs document with edit access and email collaborators the link.

Google Workspace · googleworkspace/cli

31k

Share Google Drive files with all attendees of a Google Calendar event.

Google Workspace · googleworkspace/cli

31k

Share a Google Drive folder and all its contents with a list of collaborators.

Google Workspace · googleworkspace/cli

31k

Export Google Contacts directory to a Google Sheets spreadsheet.

Google Workspace · googleworkspace/cli

31k

Subscribe to change notifications on a Google Drive file or folder.

openai/skills

28k

Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.

openai/skills

28k

Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks.

google/adk-python

22k

Builds ADK (Agent Development Kit) Python agents: LLM agents with tools, graph workflows of function and agent nodes, conditional routing, fan-out and join, schema-validated delegation between agents, human-in-the-loop pauses, and pytest coverage for all of it. Use when asked to create an agent or a workflow, add a tool to one, branch or loop between nodes, run steps in parallel, pause for user approval, or test an agent. Don't use for explaining how ADK works internally or designing its core components (use `adk-architecture`), for an agent that already runs but misbehaves (use `adk-debug`), for authoring a sample under `contributing/` (use `adk-sample-creator`), or for naming, typing, and formatting conventions (use `adk-style`).

google/adk-python

22k

Explains how the ADK runtime fits together: the node and graph execution model, Context and Event flow, checkpoint and resume, tracing, and the rules governing the public API surface. Use when answering "how does X work" about ADK internals, tracing where an event or a piece of state comes from, deciding where a new capability belongs, reviewing a change to BaseNode, Workflow, Runner, Agent, Event or Context, working out why a node re-ran or stayed waiting after a resume, or judging whether a change breaks the public API. Don't use for assembling an agent from existing pieces (use adk-agent-builder), diagnosing one failing run or test (use adk-debug), or formatting and naming conventions (use adk-style).

google/adk-python

22k

Diagnoses misbehaving ADK agents by inspecting sessions, events, tool calls, and the exact request that reached the model. Covers the `adk run` CLI and the `adk web` dev server with its session, trace, and debug HTTP endpoints. Use when an agent returns the wrong answer, ignores a tool or swallows a tool error, hangs, loops, emits raw JSON instead of calling tools, is not discovered by `adk web`, when a sub-agent cannot see the parent conversation, or when you need the LLM request/response, token counts, or logs for a run. Don't use for how ADK is designed internally (use `adk-architecture`), for building a new agent or workflow (use `adk-agent-builder`), for environment or dependency setup failures (use `adk-setup`), or for lint and style nits (use `adk-style`).

google/adk-python

22k

Writes commit messages and pull request descriptions for the adk-python repository: Conventional Commits types and scopes, subject lines that say why a change was made, and the linked-issue and testing-plan sections the PR template requires. Use when writing or rewording a commit message, squashing commits before a pull request, drafting a PR description, or checking that a change is shaped to land. Don't use for generic git mechanics such as rebasing, resolving conflicts, cherry-picking, or branch surgery; those need no skill. Don't use to judge the content of a change (use adk-review) or for code style and naming (use adk-style).

google/adk-python

22k

Reviews the uncommitted changes in an adk-python working tree and reports correctness, design, public-API stability, test, sample and documentation gaps as a prioritized findings report, fixing them only when asked. Use when the user asks to review local changes, wants a self-review before opening a pull request, asks whether a change breaks the public API or needs tests, samples or docs, or asks what is wrong with the current diff. Required for changes to public APIs, core architecture (Runner, Workflow, BaseNode), new features and major refactors. Don't use for a single style nit (use adk-style), for diagnosing a failing test or a misbehaving agent at runtime (use adk-debug), or for wording a commit message or PR description (use adk-git).

google/adk-python

22k

Creates a new sample agent in the ADK Python repository — the sample directory, its `agent.py`, and its `README.md` — following the conventions the existing samples already use. Use when the user wants to add a sample or example demonstrating a feature or agent pattern (dynamic nodes, fan-out/fan-in, a standalone tool-using agent), asks where a new sample belongs under `contributing/samples/`, or wants an existing sample's README brought up to the standard structure. Don't use for building a real working agent for the user's own project (use `adk-agent-builder`), or for checking whether the Python blocks in a Markdown file run (use `adk-verify-snippets`).

google/adk-python

22k

Sets up a local ADK Python development environment in a git clone of the open-source adk-python repository: a uv virtual environment, all dependency extras, pre-commit hooks, and a first unit-test run. Runs only when explicitly requested, never on its own. Use when asked to set up, bootstrap, or repair a development checkout, install project dependencies, fix a missing or broken .venv, or prepare a machine for contributing a pull request. Don't use for debugging a running agent (use adk-debug), for commit and pull-request mechanics (use adk-git), or for re-running formatters on a checkout that is already set up (pre-commit run --all-files).

google/adk-python

22k

Python style and codebase conventions for ADK (Agent Development Kit): private-by-default file visibility, imports, type hints, Pydantic v2 models, formatting, docstrings, logging, async I/O, file and test layout, and unit test structure. Use when writing or editing ADK source or tests, deciding whether a new file or symbol should be public or private, naming or placing a test file, fixing a formatter, linter, or type-check failure (pyink, isort, ruff, mypy, addlicense, compliance-checks), or asking whether code matches house style. Don't use for reviewing a whole changeset (use adk-review), writing a developer guide or design doc for a code unit (use adk-unit-guide or adk-unit-design), building or configuring agents (use adk-agent-builder), or installing the toolchain (use adk-setup).

google/adk-python

22k

Writes an as-built architecture document for one ADK code unit — purpose, execution flow, data flow, cross-class dependencies, extension points, and the parts that must not change — to `docs/design/{topic}/{unit}/index.md`. It describes the code as implemented, not a proposed design, and its reader is a developer about to change or extend that unit. Use when asked to "write a design doc for {file}", "document the architecture of {class}", "document the extension points of {unit}", or after adding a core class, node type, or plugin base. Don't use for documentation aimed at developers who only call the unit from their own application — that is a usage guide with runnable examples under `docs/guides/` (use `adk-unit-guide`). Don't use to answer a framework-wide architecture question (use `adk-architecture`).

google/adk-python

22k

Writes a hands-on developer guide for one ADK code unit — a minimal runnable example, how it works, a configuration-option table, advanced uses, limitations, and links to related samples — to `docs/guides/{topic}/{unit}/index.md`, then lists it in the index at `docs/guides/README.md`. Its reader is a developer calling the unit from their own application, at more depth than the published adk.dev documentation carries. Use when asked to "write a unit guide for {class}", "document how to use {feature}", "add a guide for {file}", or after shipping a user-facing class, node, or plugin. Don't use for internals documentation aimed at someone changing or extending the unit — that is a design document under `docs/design/` (use `adk-unit-design`). Don't use to write a runnable sample under `contributing/samples/` (use `adk-sample-creator`).

google/adk-python

22k

Checks that every Python code block in a Markdown file actually compiles and runs, by extracting each block to a temporary file, executing it in an isolated subprocess, and writing a pass/fail report with per-snippet coverage. Use when the user asks to verify, test, or validate the code samples in a README, a guide, or a documentation page; wants to know which snippets in a Markdown file are broken or out of date; or asks for a snippet verification report. Don't use for running the project's test suite (run pytest directly), for checking code style or formatting (use `adk-style`), or for authoring a new runnable sample agent (use `adk-sample-creator`).

google/adk-python

22k

Skill for BigQuery AI and Machine Learning queries using standard SQL and `AI.*` functions (preferred over dedicated tools).

google/adk-python

22k

Skill for Graph Query Language (GQL) or SQL/PGQ queries against a property graph. Includes path finding, multi-hop traversal, topological connection, shortest path, node reachability, edge connectivity, and semantic graph queries.

google/adk-python

22k

A math calculation skill that runs Python scripts to perform arithmetic.

google/adk-python

22k

A text processing skill that formats strings using shell scripts.

google/adk-python

22k

A skill that provides weather information based on reference data and scripts.

google/skills

21k

Configures best-practice alerting policies for AI agents using OpenTelemetry (OTel) metrics, generating output as Terraform (.tf) configuration files. Use when analyzing, writing, or deploying alerting policies to monitor agent latency, error rates, token usage, and quality metrics. Don't use for standard infrastructure monitoring unrelated to AI agents, or when the agent is not instrumented with OpenTelemetry (for Reliability, Cost, Safety, Security alerts). NOTE: Reliability, Cost, Safety, and Security alerts use generic OTel metrics and work across runtimes (such as Cloud Run, Vertex AI). Quality alerts rely on Vertex AI Online Monitors and are strictly bound to Vertex AI deployments.

google/skills

21k

Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check the status of an in-progress deployment operation, or clean up resources by undeploying models and deleting endpoints. Use when asked to actively deploy a model, list the Model Garden CATALOG of available models, check if a specific model is deployable (`gcloud ai model-garden models list-deployment-config`), query deployment cost, troubleshoot deployment errors (like quota limits), or undeploy/clean up endpoints. Also use when copying and deploying a 1P Tuned Model. Don't use for pure listing/discovery questions of the form "is X deployed?", "list my endpoints", or "which regions have models running?" — for those use `agent-platform-endpoint-management`. Don't use for running model evaluations (use `agent-platform-eval-flywheel` skill).

google/skills

21k

Manages Agent Platform serving endpoints. Use when you need to create, list, describe, update, or delete serving endpoints for model deployment on Agent Platform. Also use when troubleshooting endpoint permission, quota, or resource busy errors. Don't use for deploying models to endpoints or for running model evaluations.

google/skills

21k

Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when generating synthetic user scenarios, evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing failures, comparing results before and after a fix, or when guidance is needed on Agent Platform eval methodology — including dataset schema, LLM-as-judge scoring, and common failure causes. For fine-tuning, use agent-platform-tuning. For general production deployment, use agent-platform-deploy.

google/skills

21k

Connects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama, DeepSeek, Qwen, etc.). Use when asked to perform inference, ask a model a question, run a test prompt, execute chat completions, or generate code for calling Gemini or OpenMaaS models, authenticate with GenAI SDK, OpenAI SDK, or legacy Agent Platform SDK, configure base URLs and global/regional endpoints, or troubleshoot 429 Resource Exhausted (DSQ), 400 User Validation, or 404 Not Found errors. Don't use for deploying models to endpoints or for running model evaluations.

google/skills

21k

Guides agents and users through migrating from Gemini API in Google AI Studio to Gemini Enterprise Agent Platform (formerly Vertex AI). Use this skill when moving applications to Google Cloud, to leverage Cloud credits, or to unify inferencing with other Cloud infrastructure (IAM, billing, telemetry).

google/skills

21k

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

google/skills

21k

Manages and orchestrates prompts in Agent Platform. Use when you need to create, list, retrieve, version, or delete managed prompts in Agent Platform. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform prompts.

google/skills

21k

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google Workspace RAG, or other RAG products like gRAG.

google/skills

21k

Interact with the Gemini Enterprise Agent Platform Skill Registry to create and search for available skills. Use this skill to enable agents to register functionality or discover new capabilities.

google/skills

21k

Troubleshoots Google Cloud Gemini Enterprise Agent Platform issues (Agent Gateway, Registry, Identity, Policies, Model Armor, Identity-Aware Proxy (IAP)). Use when agent requests fail with 403 (especially unauthorized egress), Agent Runtime queries return 500, or gateway/IAP logs show permission errors. Don't use for general Google Cloud Identity and Access Management (IAM) debugging or networking issues unrelated to the Agent Platform stack.

google/skills

21k

Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).

google/skills

21k

Manages GenAI tuning jobs in Agent Platform. Use this to list, get, or cancel ongoing model tuning jobs. Don't use for fine-tuning models (use `agent-platform-tuning`), deploying models to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).

google/skills

21k

Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations. Use when creating, configuring, or administering AlloyDB databases. Do NOT use for general PostgreSQL instances (e.g. Cloud SQL) or other GCP databases.

google/skills

21k

Processes GCP infrastructure design and deployment workflows within Application Design Center (ADC). Use when: - Designing GCP infrastructure with Terraform. - Validating local HCL. - Performing best-practice plan scans. - Importing templates to Application Design Center (ADC). - Deploying templates. - Troubleshooting deployment failures. Boundaries: - Only use for GCP-specific cloud infrastructure. - Only use for Terraform coding within the ADC context.

google/skills

21k

Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, measure the causal effect of an intervention, compute correlations between columns, detect change points or structural breaks, extract trend or seasonality components, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.

google/skills

21k

Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis.

google/skills

21k

Generates Python code using BigQuery DataFrames (BigFrames). Use by default for any Python data task involving BigQuery, including data processing, analysis, and machine learning. Don't use for SQL-first workflows or the google-cloud-bigquery client library — use bigquery-basics.

google/skills

21k

Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for Bigtable, or diagnosing performance/hotspotting issues. Also use when provisioning Bigtable clusters using gcloud or cbt CLIs. Don't use for generic Cloud SQL administration.

google/skills

21k

Configure single-project Google Cloud Logging: regional log buckets, log sinks, log views, restricting or hiding sensitive logs in the default view (_Default) filter, IAM permissions for views (Logs View Accessor, IAM conditions), logs-based metrics, log exclusions, and sampling. Don't use for cross-project logging or multi-project setups.

google/skills

21k

Configure and troubleshoot Google Cloud cross-project centralized logging and read-time aggregation. Use when: - Setting up log routing from multiple projects/folders/organizations to a central log bucket. - Creating cross-project log sinks and configuring central log buckets. - Troubleshooting cross-project routing. Don't use for single-project basic configurations.

google/skills

21k

Generates Logging Query Language (LQL) queries for Google Cloud Logging from natural language. Use this skill when you need to query log data or when you are debugging issues. You can filter log data by Google Cloud service. Don't use this skill to query other databases, such as SQL or Cloud Spanner.

google/skills

21k

Generates Google Cloud Monitoring Server-Driven UI (SDUI) Widget and XyChart Protocol Buffer textprotos from resolved PromQL or ListTimeSeries queries. Use when: - Generating valid google.monitoring.dashboard.v1.Widget textprotos, containing PrometheusQuery or TimeSeriesFilter datasets, for use with the Cloud Monitoring Dashboards API, gcloud CLI, or declarative dashboard definitions. - Synthesizing Server-Driven UI (SDUI) widget titles, axis labels, and plot types for Prometheus or ListTimeSeries queries. Don't use for: - Metric discovery or PromQL query generation. For those tasks, use the cloud-monitoring-metric-selection or cloud-monitoring-promql-query skills.

google/skills

21k

Generates valid Cloud Monitoring ListTimeSeries requests and aggregation specifications from metric descriptors and resource parameters. Use when asked to create, generate, format, or build ListTimeSeries requests, JSON payloads, filter expressions, or aligner/reducer aggregations for Cloud Monitoring metrics and charts. Don't use for metric discovery or metric selection.

google/skills

21k

Retrieve, query, and identify relevant Google Cloud Monitoring metric descriptors for a GCP service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run, Cloud SQL, Pub/Sub, Cloud Storage, etc.). Use when asked to find, list, search, or discover GCP metric types, names, kind/value schemas, or descriptors.

google/skills

21k

Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).

google/skills

21k

This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server instances as resources in Cloud SQL. For example, when Cloud SQL creates an open-source MySQL instance, the resulting resource is a Cloud SQL for MySQL instance that Google Cloud manages. Cloud SQL handles backups, high availability, and secure connectivity for relational database workloads.

google/skills

21k

Guides developers through managing (adding, removing, and clearing) audience members for Google products using the Data Manager API and its associated client libraries. Use this skill when the user wants to upload audience members, remove specific users, or clear/replace an entire audience for Customer Match, mobile device ID audiences, or any other audience use case supported by the Data Manager API. Don't use for uploading events or conversions (use the data-manager-api-event-ingestion skill).

google/skills

21k

Guides developers through implementing event and conversion ingestion to Google products using the Data Manager API /v1/events/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload offline conversions, enhanced conversions for leads, click conversions, Google Analytics web or app events, or any other event ingestion use case supported by the Data Manager API. Don't use for uploading audience members (use the data-manager-api-audience-ingestion skill).

google/skills

21k

Guides developers through client library installation and authentication setup steps for the Data Manager API. Use this skill when a user is getting started with the Data Manager API and needs to setup their local environment, install the client library, or setup access to the API. Don't use for implementing audience or event ingestion logic (use the data-manager-api-audience-ingestion or data-manager-api-event-ingestion skills instead).

google/skills

21k

Analyzes the downstream impact (blast radius) when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact analysis for a BigQuery table or view. - Assessing the consequences of modifying, deleting, or pausing updates to a BigQuery asset. - Identifying downstream dependencies (tables, dashboards, processes) of a BigQuery asset. Don't use for: - General BigQuery querying or data analysis (use BigQuery-related tools instead). - Non-BigQuery assets (e.g., Cloud Storage files) unless they are part of the BigQuery lineage. - Creating or modifying lineage links directly.

google/skills

21k

Summarizes Google Cloud Data Lineage graphs to help users debug data quality issues and understand data provenance for BQ/GCS. Use when summarizing upstream and downstream data flows, and presenting complex lineage data as an intuitive Markdown report. Don't use for generic BigQuery queries, editing lineage relationships, or downstream deprecation. Don't use for downstream blast-radius impact analysis (use datalineage-bigquery-asset-impact-analysis skill instead).

google/skills

21k

Automates the end-to-end detection engineering workflow in Google SecOps using MCP tools. Use when fetching threat intelligence from blogs, generating Threat Detection Opportunities (TDOs), simulating attacker behavior with synthetic UDM events, evaluating rule coverage, and deploying gap-closing rules. Don't use for standalone YARA-L 2.0 rule authoring/tuning (use secops-detection-engineering), threat hunting, or SOC investigation.

google/skills

21k

Provides guidance and instructions on managing remote devices on Developer Device Platform (DDP). Use when reserving remote Android devices, establishing connection tunnels, checking session status, or extending/cancelling leases. Don't use for iOS or local device/hardware inquiries.

google/skills

21k

Provides foundational Firebase CLI setup, CLI installation, version checks (`firebase-tools@latest --version`), CLI login (including --no-localhost), project creation, project selection (`firebase use`), and app config file downloads (`google-services.json`, `GoogleService-Info.plist`). Use ONLY for CLI login, project creation/switching, or downloading app config files. Don't use for Firebase Hosting deploy, Firestore, Auth, App Hosting, Data Connect, Crashlytics, or Remote Config.

google/skills

21k

Provides safety-critical validation, guardrails, and data reduction for gcloud CLI operations across Google Cloud Platform (GCP) services and infrastructure. Use when planning, generating, constructing, proposing, describing, or executing any gcloud CLI commands - including when answering questions about gcloud syntax, or formatting flags. Don't use when writing Google Cloud client library code or raw REST/gRPC API requests.

google/skills

21k

Manages custom Agent resources on Gemini Enterprise Agent Platform. Use when the user wants to programmatically create, configure, list, update, or delete stateful, server-managed Agent resources (including mounting files, skills, and tools) before executing conversations.

google/skills

21k

Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like multimodal inputs, tools, media generation, caching, batch prediction, and Live API.

google/skills

21k

Guides the usage of Gemini Interactions API on Gemini Enterprise Agent Platform. Use when the user wants to use the stateful, server-managed Interactions API for multi-turn conversations, background execution, streaming, structured output, and function calling on the Agent Platform.

google/skills

21k

Generates a Gemini LiveAPI client service class in the user's chosen programming language. Use when the user wants to build, scaffold, or integrate a client that connects to the Gemini Enterprise LiveAPI websocket endpoint, handles session setup/resumption, bearer token refresh, and sending/receiving `ClientMessage`/`ServerMessage` protos. Don't use for general (non-live, non-bidirectional) Gemini API usage such as one-shot `generateContent`, embeddings, image/video generation, or fine-tuning — use the `gemini-api` skill for those.

google/skills

21k

Diagnoses, predicts, and mitigates node disruptions during Compute Engine host maintenance and hardware or software maintenance events for GPU and TPU workloads on GKE. Use when diagnosing node disruptions, predicting host maintenance events on GPU/TPU nodepools, inspecting node interruption PromQL metrics, auditing node taints, or configuring workload protection strategies (graceful termination, opportunistic maintenance, PodDisruptionBudgets). Don't use for general GKE cluster creation, network policy configuration, or non-disruption workload deployment.