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Scripted, branded onboarding for LaunchDarkly. Fixed sequence with LaunchDarkly voice and tone. Enforces step completion before advancing. Redirects drift. Use when the user wants to set up LaunchDarkly from scratch or asks to start onboarding.

Use this Skill: https://skilld.dev/gh/launchdarkly/experimental-agent-skills/onboardingv2

This session only. Nothing lands on disk.

references1.9-editor-rules.md

≈2.7k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Editor Rules and Skills

After onboarding, do two things:

  1. Ensure the user has the relevant LaunchDarkly agent skills installed — The goal is not “a plugin” in the abstract: the user (or agent) should have the same skills this repository ships, so future sessions can load them by name. Standard set (install all four):
    • launchdarkly-flag-create
    • launchdarkly-flag-discovery
    • launchdarkly-flag-targeting
    • launchdarkly-flag-cleanup
      Optional: onboarding (for more SDK onboarding later).
      Preferred: Install the LaunchDarkly plugin launchdarkly@launchdarkly-ai-tooling from github.com/launchdarkly/ai-tooling, which packages these skills—then confirm in the UI or CLI that those skill names are available.
    • Claude Code: After any required marketplace setup for that repo (see the repository README or claude plugin / Anthropic docs for your CLI version), install with:
      claude plugin install launchdarkly@launchdarkly-ai-tooling
      If the command name or flags differ in your build, use claude plugin --help and match the plugin coordinate above. Verify the four standard skills (above) show up as usable after install.
    • Cursor: Install or enable skills from the same distribution per current Cursor docs (marketplace / plugin UI pointing at this repo or copied folders). Verify the four launchdarkly-flag-* skills are listed or discoverable.
    • Fallback (no plugin): Copy skill directories from github.com/launchdarkly/ai-tooling (or this monorepo’s published plugin) into the user’s skills location so each folder contains a SKILL.md for launchdarkly-flag-create, launchdarkly-flag-discovery, launchdarkly-flag-targeting, and launchdarkly-flag-cleanup. Optional: include onboarding from this repo’s onboarding path. List any copied paths in the rules file so agents know where to read SKILL.md.
  2. Write an editor rule — The rule must tell future agents to read and follow those skills for flag work. Do not bake in SDK documentation URLs; procedures and compatibility live in each skill’s SKILL.md. Deep links to SDK docs belong in LAUNCHDARKLY.md if you already created that summary.

Default skill set (feature flags)

Unless the user opts out, treat all of these as the standard kit and mention each one in the generated rule. They are published in github.com/launchdarkly/ai-tooling (same four skills as in step 1 above):

Skill name (frontmatter) Purpose
launchdarkly-flag-create Create and configure flags and wire evaluation to match the codebase (MCP when required).
launchdarkly-flag-discovery Audit flag inventory, stale or launched flags, and removal readiness.
launchdarkly-flag-targeting Toggle flags, percentage rollouts, targeting rules, and promote config between environments.
launchdarkly-flag-cleanup Safely remove flags from code, readiness checks, and MCP-driven cleanup workflows.

Adjust the table only if the user explicitly wants a smaller set.

Step 1: Detect the Editor

Check for editor configuration files in the project root:

File/Directory Editor
.cursor/ or .cursorrules Cursor
.claude/ Claude Code (Anthropic)
.github/copilot-instructions.md GitHub Copilot
.vscode/ (without Cursor indicators) VS Code
.idea/ JetBrains IDE — use For JetBrains (no dedicated template file path here)

If you can't detect the editor, default to Claude Code and create .claude/rules/launchdarkly.md.

Step 2: Create the Rules File

Base the file on the templates below. Substitute project facts ({SDK_NAME}, {ENTRYPOINT_FILE}, {ENV_VAR_NAME}) from onboarding. Do not add {SDK_DOCS_URL} or a documentation links section to this file—that is intentionally omitted so agents rely on skills + MCP.

The rule text must explicitly say: when doing flag create, targeting, discovery, cleanup, or code removal, load the matching LaunchDarkly skill and execute its workflow (not just “see links”).

Shared body (use in Cursor and Claude Code)

Use this markdown block inside each template (Cursor: below the YAML frontmatter; Claude Code: from the first # heading).

# LaunchDarkly Feature Flags

This project uses LaunchDarkly for feature flag management.

## SDK context (this repo)
- SDK: {SDK_NAME}
- Initialization: {ENTRYPOINT_FILE}
- Key env var: {ENV_VAR_NAME} (never hardcode secrets in source)

## Agent: use LaunchDarkly skills (required)

Ensure the **LaunchDarkly** agent skills below are installed (`launchdarkly@launchdarkly-ai-tooling` plugin from [github.com/launchdarkly/ai-tooling](https://github.com/launchdarkly/ai-tooling), or equivalent copies on disk). For any substantive flag work, **open that skill’s `SKILL.md` and follow it**—do not improvise from generic flag advice alone.

| Skill | When to use it |
|-------|------------------|
| `launchdarkly-flag-create` | User wants a new flag, code wiring, feature toggle, or experiment setup. |
| `launchdarkly-flag-discovery` | User wants flag inventory, debt/stale-flag audit, health, or removal readiness. |
| `launchdarkly-flag-targeting` | User wants who sees a flag, rollouts, targeting rules, or environment promotion. |
| `launchdarkly-flag-cleanup` | User wants a flag removed from code safely, archive/cleanup workflows, or MCP-driven removal. |

**Invocation:** Match the user’s request to the skill `description` in each skill’s frontmatter, or use the editor’s slash / plugin command for that skill if configured.

**Tools:** When a skill lists LaunchDarkly MCP tools as required, use MCP; do not skip validation steps.

## Conventions (summary)
- Prefer boolean flags unless multivariate is required; use descriptive kebab-case keys (e.g. `enable-checkout-v2`).
- Always pass a fallback when evaluating flags; use a meaningful evaluation context (user key, org, etc.).
- Server-side SDK keys stay secret; client-side IDs may appear in browser code.
- Do not evaluate flags in tight loops without caching.
- Archive or remove flag code when a flag is fully rolled out and the team agrees—use `launchdarkly-flag-cleanup` (and `launchdarkly-flag-discovery` first if assessing candidates).

For Cursor (.cursor/rules/launchdarkly.mdc)

Create .cursor/rules/launchdarkly.mdc:

---
description: LaunchDarkly feature flags — require LaunchDarkly agent skills for flag workflows
globs: []
alwaysApply: false
---

{PASTE_SHARED_BODY_HERE}

Replace {PASTE_SHARED_BODY_HERE} with the shared body (no literal placeholder left in the file).

For Claude Code (.claude/rules/launchdarkly.md)

Create .claude/rules/launchdarkly.md containing only the shared body (no YAML frontmatter).

For GitHub Copilot (.github/copilot-instructions.md)

Append to .github/copilot-instructions.md (create if it doesn't exist). Copilot may not load external skills the same way; still steer toward the same workflows and name the skills:

## LaunchDarkly Feature Flags

This project uses LaunchDarkly ({SDK_NAME}) for feature flag management.
Initialization: {ENTRYPOINT_FILE}. SDK key / client ID: environment variable `{ENV_VAR_NAME}` only—never commit secrets.

For flag work, follow the LaunchDarkly agent skills when available: **`launchdarkly-flag-create`** (create + code), **`launchdarkly-flag-discovery`** (audit / inventory), **`launchdarkly-flag-targeting`** (rollouts / targeting / env promotion), **`launchdarkly-flag-cleanup`** (code removal / cleanup / MCP workflows). Read each skill’s instructions instead of guessing flag lifecycle steps.

For JetBrains (IntelliJ, WebStorm, Rider, etc.)

There is no JetBrains-specific rules template in this reference (.idea/ only indicates the IDE family). Do not silently skip: tell the user you detected JetBrains and that they should rely on LAUNCHDARKLY.md (Onboarding Summary) plus installing launchdarkly@launchdarkly-ai-tooling (same as Claude Code) or copying skill folders manually.

Reasonable options to suggest:

  • Keep flag workflow guidance in LAUNCHDARKLY.md and team docs the IDE already opens.
  • If the team also uses GitHub Copilot in the same repo, reuse the For GitHub Copilot template above in .github/copilot-instructions.md so any tool that reads that file picks up the same guidance.
  • If their JetBrains AI plugin supports a project-level instruction file, paste the shared body there (adapt paths to your product’s docs)—this doc does not name a single standard path for all JetBrains products.

For other editors (not Cursor, Claude Code, Copilot, VS Code, or JetBrains)

If the editor doesn't have a rules system, skip creating a rules file. Rely on LAUNCHDARKLY.md and tell the user which LaunchDarkly skills to install (launchdarkly@launchdarkly-ai-tooling or copied skill folders from github.com/launchdarkly/ai-tooling).

Step 3: Fill in the Placeholders

From the onboarding session, set:

  • {SDK_NAME} — e.g. Node.js Server SDK
  • {ENTRYPOINT_FILE} — e.g. src/index.ts
  • {ENV_VAR_NAME} — e.g. LAUNCHDARKLY_SDK_KEY

Do not add documentation URLs to this rules file. If you need SDK doc links for humans, put them only in LAUNCHDARKLY.md (Onboarding Summary).

If you added or removed skills from the default table (user request), update the skill table in the shared body to match.

Step 4: Commit the Rules

# Claude Code (most common for this skill)
git add .claude/rules/launchdarkly.md

# Cursor
git add .cursor/rules/launchdarkly.mdc

# GitHub Copilot / shared instructions
git add .github/copilot-instructions.md

# Add only the file(s) you created or changed, then:
git commit -m "chore: add LaunchDarkly feature flag management rules"

Ask the user for permission before committing.

Source: SKILL.md on GitHub

2 warnings1mo3 checks · Risk SAFE
  • Gen Agent Trust Hub1mo

    This skill provides a structured onboarding experience for LaunchDarkly, automating project detection, SDK installation, and MCP configuration. It adheres to security best practices by using OAuth for authentication, requiring user consent for secret management, and ensuring credentials are stored in git-ignored environment files.

  • Socket1mo

    1 alert: gptAnomaly

  • Snyk1mo

    Risk: MEDIUM · 1 issue

Signed by skilld at 39ec721. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 months ago.

Activeupdated 2 months ago
metadata
{
  "author": "launchdarkly",
  "version": "0.1.0"
}
Other metadata
compatibility
Requires npx and an MCP-compatible coding agent (Cursor, Claude Code, Windsurf, GitHub Copilot, etc.)

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