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development-guidelines

チーム全体で統一された開発プロセスとコーディング規約を確立するための包括的なガイドとテンプレート。開発ガイドライン作成時、コード実装時に使用する。

yamato0811
yamato0811
0

repository-structure

リポジトリ構造定義書を作成するための詳細ガイドとテンプレート。リポジトリ構造定義時にのみ使用。

yamato0811
yamato0811
0

architecture-design

アーキテクチャ設計書を作成するための詳細ガイドとテンプレート。アーキテクチャ設計時にのみ使用。

yamato0811
yamato0811
0

prd-writing

プロダクト要求定義書(PRD)を作成するための詳細ガイドとテンプレート。PRD作成時にのみ使用。

yamato0811
yamato0811
0

authenticated-scrape

Scrape data from authenticated websites by capturing network requests with auth headers automatically. Use when the user wants to extract data from logged-in pages, private dashboards, or authenticated APIs.

Salberg87
Salberg87
0

dev-doc-suite

코드베이스를 분석하여 README, API 문서, 아키텍처 가이드를 자동으로 생성/업데이트합니다.

lastdays03
lastdays03
0

dev-feature-planner

SKILL.md의 모든 표준(문서화, 리스크 평가, 롤백 전략, 엄격한 TDD)을 준수하는 고급 기능 구현 워크플로우입니다.

lastdays03
lastdays03
0

dev-init

개발 환경(폴더 구조, README)을 신속하게 초기화하는 Dev 전용 워크플로우입니다.

lastdays03
lastdays03
0

dev-prompt-engineering

Anthropic의 Best Practice를 기반으로 고성능 프롬프트를 설계하고 최적화합니다.

lastdays03
lastdays03
0

dev-study-planner

체계적인 학습 계획 수립, 실행, 검증을 위한 학습 전용 워크플로우입니다. (퓨처 플래너의 학습 버전)

lastdays03
lastdays03
0

dev-trend-tracker

최신 기술 트렌드나 도구를 빠르게 파악하고 요약하여 아카이빙하는 워크플로우입니다. (Efficiency Focus)

lastdays03
lastdays03
0

git-smart-commit

Git 변경사항을 분석하여 Conventional Commits 표준에 맞는 메시지를 작성하고 커밋합니다.

lastdays03
lastdays03
0

meta-skill-builder

표준 참조 분리 패턴(Standard Reference Separation Pattern)을 사용하여 워크플로우를 새로 생성하거나 개선합니다.

lastdays03
lastdays03
0

obsi-archive-project

완료된 프로젝트를 검증(Dependency Check), 정리(Cleanup) 후 안전하게 연도별 아카이브로 이동시킵니다.

lastdays03
lastdays03
0

obsi-concept-distiller

AI를 활용해 핵심 개념을 추출하고, 문맥을 분석하여 지식 베이스(20_Learning)와 양방향으로 연결합니다.

lastdays03
lastdays03
0

obsi-moc-builder

특정 폴더(Single) 또는 하위 구조 전체(Recursive)를 분석하여 구조화된 MOC(Map of Content)를 자동 생성/갱신합니다.

lastdays03
lastdays03
0

biz-doc-generator

Word, Excel, PPT, PDF 등 기업용 문서를 생성하고, 결과를 docs/exports에 저장하며 임시파일을 자동 정리합니다.

lastdays03
lastdays03
0

data-analyst

Python 생태계(Jupyter, Pandas, Scikit-learn)를 활용하여 데이터에서 심층적인 인사이트를 도출하는 전문 분석 워크플로우입니다.

lastdays03
lastdays03
0

agents-context-architect

프로젝트 구조를 분석하여 최적의 에이전트 컨텍스트 파일(AGENTS.md) 시스템을 구축합니다.

lastdays03
lastdays03
0

obsi-knowledge-manager

프로젝트/인박스의 문서를 수확(Harvest)하거나 기존 지식을 정제(Refine)하여 '골드 스탠다드' 지식 자산을 만듭니다.

lastdays03
lastdays03
0

dev-coding-debug

체계적인 디버깅(Systematic Debugging) 절차를 통해 버그의 원인을 찾고 해결합니다. (Source: obra/superpowers)

lastdays03
lastdays03
0

data-notebook-refiner

Jupyter Notebook의 코드 품질, 문서화 수준, 실행 안정성을 표준화된 절차로 개선하는 워크플로우입니다.

lastdays03
lastdays03
0

data-model-reporter

데이터 분석/머신러닝 노트북의 결과를 분석하여 표준화된 Model Card 보고서(Markdown)를 자동 생성합니다.

lastdays03
lastdays03
0

pro-researcher

웹상의 정보를 '계획(Plan) -> 탐색(Fetch) -> 분석(Synthesize)' 과정을 통해 심층 리서치하고, 출처가 명시된 전문 보고서를 작성합니다.

lastdays03
lastdays03
0

documentation

Use when writing or updating documentation - generates function docs, API specs, architecture diagrams (Mermaid), READMEs, code explanations. Activates when user says "document this", "write README", "explain this code", mentions "docs", "documentation", "API docs", or asks "how does this work?".

lastdays03
lastdays03
0

obsi-weekly-review

데이터 기반으로 한 주를 회고하고, 인박스 제로 및 액션 아이템 추출을 자동화하는 주간 리뷰 워크플로우입니다.

lastdays03
lastdays03
0

obsi-project-kickoff

표준 구조(Overview, Plan 등)를 갖춘 새로운 프로젝트를 자동으로 생성하며, 중복 검사 및 템플릿 선택 기능을 포함합니다.

lastdays03
lastdays03
0

dblp-cli

Local DBLP helper without MCP; use to search DBLP, fuzzy title/author queries, venue lookup, BibTeX collection/export, and stats via the bundled CLI script instead of running an MCP server.

GrayXu
GrayXu
0

api-design-helper

Use when designing a REST API endpoint. Guides you through a structured interview covering basics, request/response structure, validation, versioning, and caching — then generates a combined design spec with JavaDoc headers, SpringDoc annotations, and an embedded OpenAPI 3.0 YAML spec.

abudhahir
abudhahir
0

strava-next-week-planner

Generate a next-week training plan from weekly load + risk outputs (derived from Strava MCP data).

mizunyang
mizunyang
0

strava-injury-risk-triage

Assess injury/fatigue risk using current vs prior weeks from Strava MCP weekly_stats.

mizunyang
mizunyang
0

fastapi-python-expert

Use this agent when you need to design, implement, or optimize FastAPI backend applications. This includes API endpoint creation, database integration, authentication/authorization implementation, cloud deployment strategies, business logic architecture, performance optimization, and following FastAPI best practices.

duksosleepy
duksosleepy
0

agent-memory

Bootstrap skill that teaches Claude about the shared Agent-memory system for cross-session and cross-team knowledge

KienVu2368
KienVu2368
0

response_style_selector

Ask the user to pick a response style and persist the preference.

CheekyCodexConjurer
CheekyCodexConjurer
0

skills_auditor

Detect incorrectly installed skills and report issues.

CheekyCodexConjurer
CheekyCodexConjurer
0

size_guard

Enforce line budgets and rotate or split large context files.

CheekyCodexConjurer
CheekyCodexConjurer
0

shadow_coder

Build parallel architectures safely without breaking current behavior.

CheekyCodexConjurer
CheekyCodexConjurer
0

safety_validation

Validate changes against .agentignore before commit.

CheekyCodexConjurer
CheekyCodexConjurer
0

safe_refactor_migration

Plan and execute large refactors with shadow mode and rollback.

CheekyCodexConjurer
CheekyCodexConjurer
0

repo_indexer

Build and maintain a fast navigation index of the repo.

CheekyCodexConjurer
CheekyCodexConjurer
0

refactor_gate

Ask whether to proceed with refactoring after architecture mapping.

CheekyCodexConjurer
CheekyCodexConjurer
0

quality_gates

Enforce Definition of Done checks from QUALITY_GATES.md.

CheekyCodexConjurer
CheekyCodexConjurer
0

pattern_miner

Extract recurring patterns from action logs and propose automations.

CheekyCodexConjurer
CheekyCodexConjurer
0

non_destructive_bootstrap

Install agent docs without overwriting or deleting existing content.

CheekyCodexConjurer
CheekyCodexConjurer
0

impact_analyzer

Analyze and document the impact of planned changes.

CheekyCodexConjurer
CheekyCodexConjurer
0

handoff_writer

Write a compact HANDOFF.md snapshot to restore context after session resets.

CheekyCodexConjurer
CheekyCodexConjurer
0

full_auth

When explicitly authorized, execute end-to-end with a phased plan in one run until Definition of Done is met.

CheekyCodexConjurer
CheekyCodexConjurer
0

execplan

Create and maintain PLANS.md for long-running or risky tasks.

CheekyCodexConjurer
CheekyCodexConjurer
0

detect_commands

Infer and verify install/test/lint/build commands for the repo.

CheekyCodexConjurer
CheekyCodexConjurer
0

context_compactor

Compress long-run context into handoff, backlog, and action logs.

CheekyCodexConjurer
CheekyCodexConjurer
0

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.