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요구사항을 분석하여 명세서와 사용자 스토리를 작성합니다. "명세 작성해줘", "요구사항 정리해줘", "스펙 문서 만들어줘", "사용자 스토리 작성해줘" 등을 요청할 때 활성화됩니다.

Testing patterns and utilities for PepMetrics. Use when writing or debugging tests.

Extract technology-free domain model from codebase. Produces a pure business-language specification that any stakeholder can understand. Use for: understand legacy code, document business logic, domain modeling, business requirements extraction, what does this code do, explain codebase to non-technical stakeholders.

Master of defensive Bash scripting for production automation, CI/CD pipelines, and system utilities. Expert in safe, portable, and testable shell scripts. Use when writing, creating, authoring, generating, or developing bash scripts, shell scripts, or automation. Also triggers for learning bash best practices, understanding defensive programming patterns, implementing error handling, ensuring portability, following shellcheck recommendations, or applying production-grade bash standards. Helps with CI/CD scripts, system utilities, deployment automation, and production bash code.

Write and debug Nushell scripts, pipelines, and commands. Use when working with .nu files, writing Nushell code, converting bash to Nushell, or when the user mentions nu, nushell, or structured shell scripting.

技術ブログの記事執筆を支援。トピックや題材を受け取ったら、Zenn形式の技術記事の骨子を作成します。実体験ベースで思考過程や試行錯誤を重視した記事構成を提案します。技術検証が必要な場合は、technical-verification-plannerスキルを使用してください。詳細な情報や最新の情報が必要な場合は、deep-research-agentスキルを使用してください。記事の骨子が完成したら、draft-preparation-assistantスキルを使用して下書きファイルを準備することを推奨します。記事の下書きが完成したら、article-review-assistantスキルを使用してレビューすることを推奨します。ブログ記事を書く時、記事の構成を考える時に使用してください。

Comprehensive guide for building functional tools for LiveKit voice agents using the @function_tool decorator. Use when creating tools for LiveKit agents to enable capabilities like API calls, database queries, multi-agent coordination, or any external integrations. Covers tool design, RunContext handling, interruption patterns, parameter documentation, testing, and production best practices.

Generate, optimize, and explain SQL queries with best practices. Use when writing database queries or optimizing SQL performance.

Agent spécialisé dans la génération de documents Markdown professionnels pour dossiers bancaires.

Generate and maintain DeepWiki-style documentation for code repositories. Use when the user asks to generate docs for a repo, create full documentation, build a wiki for a codebase, create DeepWiki-style docs, sync docs with code, update documentation, refresh the wiki, or bring docs up to date. Creates structured markdown docs (ARCHITECTURE, INTERFACES, DEVELOPER_GUIDE, INDEX, concepts, module READMEs) without modifying source code.

Use when writing Python code for clean, performant, and idiomatic implementations

This skill should be used when the user asks to "write a law review article", "draft a legal paper", "edit legal writing", "review my legal article", "write for a journal", "format footnotes", or needs guidance on academic legal writing. Based on Volokh's "Academic Legal Writing" with law-review-specific structure and evidence handling.

Comprehensive guide to writing effective unit, integration, and end-to-end tests with modern testing frameworks

Extract prose patterns like "Key: Value" or "Key: [[wikilink]]" and promote them to YAML frontmatter. Triggers on "promote to frontmatter", "extract frontmatter", "prose to yaml".

Write, test, and maintain Go code following idiomatic patterns, standard library conventions, and Go best practices. Use when working with Go/Golang projects, writing Go code, or reviewing Go implementations.

Provides reusable markdown templates and outlines for OpenSpec proposals, design docs, ADRs, READMEs, and changelogs.

Docusaurus build health validation and deployment safety for Claude Skills showcase. Pre-commit MDX validation (Liquid syntax, angle brackets, prop mismatches), pre-build link checking, post-build health reports. Activate on 'build errors', 'commit hooks', 'deployment safety', 'site health', 'MDX validation'. NOT for general DevOps (use deployment-engineer), Kubernetes/cloud infrastructure (use kubernetes-architect), runtime monitoring (use observability-engineer), or non-Docusaurus projects.

Enterprise Nextra documentation framework with Next.js

학습 중 떠오른 아이디어와 메모를 아카이브 파일에 시간순으로 기록합니다. `scripts/study-note-helper.sh`를 사용하여 현재 KATA 프로젝트의 docs/study/아카이브.md에 노트를 추가합니다.

Use when receiving code review feedback (especially if unclear or technically questionable), when completing tasks or major features requiring review before proceeding, or before making any completion/success claims. Covers three practices - receiving feedback with technical rigor over performative agreement, requesting reviews via code-reviewer subagent, and verification gates requiring evidence before any status claims. Essential for subagent-driven development, pull requests, and preventing false completion claims.