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lassejlv/skills

A collection of personal skills

main Updated 13 hours agoGitHub
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Repository statistics

  • Indexed skills

    23

  • Skill groups

    1

  • GitHub stars

    52

  • Forks

    1

Skills

23 total

/build-gpui-apps

Build, scaffold, refactor, debug, review, and validate native Rust desktop applications with GPUI. Recommend GPUI Kit and ask before adopting it; use gpui_kit imports after agreement, or preserve the chosen upstream GPUI stack. Includes the merged GPUI Kit component and design skills, full application/Base/Component/Shell documentation, coding and design guides, state, actions, async, input, accessibility, motion, themes, native integration, packaging, auto updates, testing, and production delivery. Use paper-to-gpui when the primary task is faithfully translating a selected Paper.design frame into an existing view.

/minimize-api-responses

Minimize API response data while preserving required consumer contracts and enforcing field-level authorization. Use when Codex builds, changes, audits, or reviews REST, GraphQL, RPC, webhook, or server-action endpoints; maps database or domain objects into responses; reduces payloads; prevents excessive data exposure; designs DTOs, serializers, or response schemas; or verifies that each caller receives only the fields it needs and is allowed to access.

/tcut-terminal-video

Create, edit, test, render, and publish repeatable terminal demos with tcut (the termcut package). Use when Codex needs to turn CLI commands, interactive terminal programs, coding agents, or a terminal-plus-browser workflow into scripted or live MP4, WebM, GIF, WebP, SVG, HTML, screenshots, or frame sequences. Covers easy recordings, deterministic TypeScript video scripts, TUI automation, visual styling, re-rendering casts, and S3-compatible publishing; do not use for general screen recording that does not involve tcut.

/build-planetscale-landing-pages

Primary design skill for technical marketing pages explicitly requesting a PlanetScale-inspired or document-like visual language: monospace typography, editorial copy, stark surfaces, ruled grids, tables, proof-heavy sections, and restrained accent color. Use for developer-tool, infrastructure, database, API, open-source, technical SaaS, launch, and pricing pages when that specific direction is wanted. For broader plain infrastructure UI, dashboards, docs, or design review without this landing-page brief, use plain-design-engineer instead. Preserve the product's identity; do not copy PlanetScale branding or content.

/paper-to-gpui

Primary skill for faithfully translating Paper.design artboards, selected frames, components, tokens, computed styles, and exported assets into native Rust/GPUI views. Use when Paper fidelity is the central task: inspecting a Paper file through the Paper Desktop MCP server, implementing or updating an existing GPUI view to match it closely, mapping web-style layout and typography to GPUI, or running screenshot-driven comparison. For general GPUI scaffolding, architecture, platform integration, or production hardening where Paper is only one input, use build-gpui-apps instead.

/plain-design-engineer

Primary design skill for creating, redesigning, or reviewing frontend interfaces with a plain, technical infrastructure-product style. Use for developer tools, databases, observability, APIs, CLIs, SaaS dashboards, docs, and general landing pages that should feel precise, editorial, content-led, and credible instead of glossy or generic. When the request specifically calls for a PlanetScale-inspired technical marketing page with ruled grids, monospace typography, and proof-heavy sections, use build-planetscale-landing-pages instead.

/clean-codebase

Research and implement a comprehensive, evidence-first code-quality cleanup with exactly eight specialized subagents. Use when a user asks to clean up, simplify, modernize, de-slop, or improve an entire repository across duplication, shared types, unused code, dependency cycles, weak typing, defensive error handling, legacy paths, and low-value generated-looking code. Each subagent produces a critical assessment and recommendations, then implements only high-confidence changes after central conflict resolution.

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