skills/.system/skill-installer/SKILL.md
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
npx skillsauth add strongorange/strong-orange-agent-skills skill-installerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Helps install skills. By default these are from https://github.com/openai/skills/tree/main/skills/.curated, but users can also provide other locations. Experimental skills live in https://github.com/openai/skills/tree/main/skills/.experimental and can be installed the same way.
Use the helper scripts based on the task:
.curated, but you can pass --path skills/.experimental when they ask about experimental skills.Install skills with the helper scripts.
When listing skills, output approximately as follows, depending on the context of the user's request. If they ask about experimental skills, list from .experimental instead of .curated and label the source accordingly:
"""
Skills from {repo}:
After installing a skill, tell the user: "Restart Codex to pick up new skills."
All of these scripts use network, so when running in the sandbox, request escalation when running them.
scripts/list-skills.py (prints skills list with installed annotations)scripts/list-skills.py --format jsonscripts/list-skills.py --path skills/.experimentalscripts/install-skill-from-github.py --repo <owner>/<repo> --path <path/to/skill> [<path/to/skill> ...]scripts/install-skill-from-github.py --url https://github.com/<owner>/<repo>/tree/<ref>/<path>scripts/install-skill-from-github.py --repo openai/skills --path skills/.experimental/<skill-name>$CODEX_HOME/skills/<skill-name> (defaults to ~/.codex/skills).--path values install multiple skills in one run, each named from the path basename unless --name is supplied.--ref <ref> (default main), --dest <path>, --method auto|download|git.https://github.com/openai/skills/tree/main/skills/.curated via the GitHub API. If it is unavailable, explain the error and exit.GITHUB_TOKEN/GH_TOKEN for download.$CODEX_HOME/skills.development
Use when extracting honest resume bullets, 1-minute interview stories, or likely interviewer questions from a defined work period (a project, week, sprint, or custom date range). Collects evidence from git, GitHub, and an Obsidian vault, filters strictly to verified self-attribution, refuses to invent impact metrics, and marks AI-assist where material. Triggers on "이력서 bullet", "주간 회고 이력서", "프로젝트 X 회고 이력서 톤", "포트폴리오 자료 뽑아줘".
data-ai
사람의 주관 판단이 필요한 A/B·before-after·model·prompt·UX·design 품질 비교 평가에서 가벼운 HITL 평가 루프를 설계하고 구현하도록 안내한다. 다음 상황에서 먼저 호출하세요: - "직접 봐야 판단 가능", "A/B 비교", "before/after", "품질 평가", "점수 남기기", "평가 대시보드", "HITL", "리포트 만들기"를 언급 - 자동화 테스트만으로는 품질 판단이 부족하고 사람의 주관이 필요한 경우 - AI 출력, 디자인 생성물, 프롬프트 변경, 파이프라인 변경, UX 후보를 비교할 때 - 평가 결과를 나중에 집계하거나 재개할 수 있어야 하는 경우 구현 스캐폴드가 아니라 가이드형이다. 코드를 바로 만들지 말고 먼저 설계를 확인한다.
development
Plan-first staged TDD orchestration for TypeScript web repositories. Use when a TypeScript, React, Next.js, or Node web task benefits from a short spec, explicit red/green/refactor/verify stages, deterministic validation, and keeping code changes behind explicit user approval. Best suited for small feature additions, policy changes, and bug fixes where tests should act as the primary oracle.
tools
Split large git changes into readable, review-friendly, revert-safe commit stacks in Toolditor. Use when preparing a PR, reorganizing staged/unstaged changes, enforcing Korean `[type] message` commit convention, or producing commit history that is easy to review and selectively revert.