stack-analyzer
Analyze project stack and recommend skills. Auto-detects frameworks, activates generic ai-dev-kit skills, and optionally scaffolds project-specific skills in the target repo.
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Analyze project stack and recommend skills. Auto-detects frameworks, activates generic ai-dev-kit skills, and optionally scaffolds project-specific skills in the target repo.
Complete VSCode Copilot asset management system with intelligent discovery, installation, and deployment capabilities for agents, prompts, instructions, collections, and skill packages.
Expert at analyzing the quality and effectiveness of Claude Code components (agents, skills, commands, hooks). Assumes component is already technically valid. Evaluates description clarity, tool permissions, au...
Self-improving skill system for Makepad development. Features self-evolution (accumulate knowledge), self-correction (fix errors automatically), self-validation (verify accuracy), usage feedback (track pattern...
Analyze files/directories for token optimization. Reports waste patterns and improvements. Use when: context limits, high costs, large codebases. Enforcement via .cursorrules.
Use this skill when working with ast-grep, an AST-based code search, lint, and rewrite tool. Activate when the user asks to search code patterns, refactor code structurally, create linting rules, or perform AST...
Automatically find relevant context from knowledge graph and code relationships while coding. Detects when context would be helpful (new files, unfamiliar code, architectural decisions) and surfaces related ent...
i-AUD Developer Kit 프로젝트 가이드. 프로젝트 구조, 폴더 설명, 개발 환경 설정, VS Code 확장 명령어에 대해 안내합니다. "i-AUD란?", "프로젝트 구조", "폴더 설명", "개발 환경", "AUD 명령어" 등을 물어볼 때 사용하세...
코드 품질 관리 스킬. Prettier/ESLint/TypeScript 컨벤션, Agent Skills 활용 패턴, 코드 리뷰 체크리스트.
Universal patterns for tree-sitter code parsing. Covers AST visitors, query patterns, and language plugin development. Framework-agnostic.
Extract coding standards and conventions from CONTRIBUTING.md, .editorconfig, linter configs. Use for onboarding and ensuring consistent contributions.
Search and answer questions about the ANcpLua ecosystem documentation. Use when users ask about ANcpLua.NET.Sdk features, ANcpLua.Analyzers rules, ANcpLua.Roslyn.Utilities APIs, or any configuration/usage quest...
Pointers for Copilot/agents to apply Perigon conventions
Comprehensive code quality analysis and optimization for React/TypeScript projects. Identifies performance bottlenecks, suggests architectural improvements, and generates detailed optimization plans.
Live Annotation Feedback Toolbar that overlays design review findings directly on web pages. Displays numbered badges on elements with issues, severity indicators, filtering, and screenshot capture. Integrates...
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include website...
Code linting and static analysis
Codex CLI を使用したコードレビュー・分析・相談を実行する。使用場面: (1) コードレビュー依頼時、(2) 実装方針の相談、(3) バグの調査、(4) リファクタリング提案、(5) 解消が難しい問題の調査。トリガー: "codex", "コード...
Automated code formatting and style consistency
Perform comprehensive code review with best practices analysis. Use when user asks for code review, code quality check, or wants to analyze their code for issues.
Write and edit Sounio `.sio` code, examples, and language docs; enforce Sounio-native syntax (`var`, `&!`, explicit `with` effects) and reduce Rust-like drift across `examples/`, `tests/`, and `docs/`.
Work on Sounio tooling: LSP, VSCode extension, playground (WASM), and Jupyter kernel; use when editing `compiler/src/lsp/`, `editors/vscode/`, `playground/`, or `jupyter/`.
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Triggers on "run codex", "codex analyze", "use codex for", "co...
Professional-grade Python development with Ruff (v0.14.10) - an extremely fast Python linter and formatter. Use when working with Python codebases for (1) linting and fixing code quality issues, (2) formatting...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.