Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/akillness/oh-my-skills --skill triageコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか?SkillsMP が現在取得できるファイルをダウンロードできます。
One-shot installer for the akillness/oh-my-gods agent skill bundle (80+ skills spanning agent-browser, agent-workflow, ai-research-skills, api-design, and the full god-skills catalog). Use when the user asks to add the oh-my-gods skill pack, bring in the AgenticSkills bundle, or wants every god-skill copied into Claude Code, Codex CLI, Antigravity/Gemini, and OpenCode in one step. Triggers on: AgenticSkills, agenticskills, oh-my-gods, god-skills, install oh-my-gods, bring in agentic skills bundle, install gods skills, add god skills.
Make any software agent-native with HKUDS CLI-Anything — route between four modes: install ready-made CLI harnesses via the CLI-Hub package manager (`pip install cli-anything-hub`, then `cli-hub list/search/info/install/launch`), give agents the autonomous discovery meta-skill (`npx skills add HKUDS/CLI-Anything --skill cli-hub-meta-skill`), generate a new harness from any codebase or GitHub repo via the 7-phase pipeline (`/plugin install cli-anything` → `/cli-anything <path>`), or iterate with `/cli-anything:refine`, `:test`, `:validate`. 40+ production harnesses (GIMP, Blender, LibreOffice, OBS, ComfyUI, Ollama, Godot, QGIS, …), 2,461 passing tests, Click CLIs with REPL + `--json` output. Use when agents must drive real desktop/server software without GUI automation. Triggers on: cli-anything, cli-hub, cli-anything-hub, agent-native cli, make software agent-native, cli harness generation, /cli-anything, harness refine, HKUDS cli.
Run Comet's Opik — open-source LLM observability, evaluation, and optimization — from one routing-first skill: install the Python/TypeScript SDK, stand up a server (Comet.com cloud, Docker Compose via `./opik.sh`, or Kubernetes/Helm), wire tracing through `@opik.track` or one of 50+ framework integrations (OpenAI, Anthropic, LangChain, LangGraph, LlamaIndex, CrewAI, DSPy, Ollama, Bedrock, Vercel AI SDK, …), score outputs with LLM-as-a-judge metrics (Hallucination, Moderation, Answer Relevance, Context Precision), and run Datasets/Experiments evaluations including PyTest CI gates. Use when the user wants LLM tracing, prompt evaluation, production LLM monitoring, agent optimization, or guardrails with Opik. Triggers on: opik, comet opik, opik configure, opik.sh, llm observability, llm tracing, llm as a judge, hallucination metric, prompt evaluation, opik dashboard, opik guardrails, agent optimizer.
SOC 職業分類に基づく
SKILL.md を表示中
| name | triage |
| description | Use this skill when > |
Move issues through a structured state machine. Every AI-generated comment must start with:
> *This was generated by AI during triage.*
Category roles (one per issue):
bug — something is brokenenhancement — new feature or improvementState roles (one per issue):
needs-triage — needs evaluationneeds-info — waiting on reporterready-for-agent — fully specified, AFK-implementableready-for-human — needs human (judgment, design, manual testing)wontfix — will not be actionedState transitions: needs-triage → needs-info | ready-for-agent | ready-for-human | wontfix. needs-info returns to needs-triage when reporter replies.
Label strings in the tracker may differ from these canonical names — run /setup-matt-pocock-skills to configure the mapping.
Natural language: "Show me what needs attention", "Let's look at #42", "Move #42 to ready-for-agent", "What's ready for agents?"
Present three buckets (oldest first):
needs-triage — evaluation in progressneeds-info with reporter activity — needs re-evaluationShow counts + one-line summary per issue. Let maintainer pick.
Gather context — read full issue (body, comments, labels, dates). Check .out-of-scope/ for prior rejections.
Recommend — state your category + state recommendation with reasoning. Wait for direction.
Reproduce (bugs only) — trace the relevant code, run tests. Report: confirmed repro, failed repro, or insufficient detail.
Grill if needed — run a grill-with-docs session to flesh out the issue.
Apply outcome:
ready-for-agent → post an agent briefready-for-human → same structure, note why it can't be automatedneeds-info → post triage notes (template below)wontfix (bug) → polite explanation, closewontfix (enhancement) → write to .out-of-scope/, link comment, closeIf maintainer says "move #42 to ready-for-agent" — trust them, apply directly. Confirm changes before acting. Skip grilling. Ask if they want an agent brief.
## Triage Notes
**What we've established so far:**
- point 1
- point 2
**What we still need from you (@reporter):**
- question 1 (specific and actionable)
- question 2
If prior triage notes exist, read them, check if reporter answered questions, present updated picture. Don't re-ask resolved questions.
.agent-skills/skill-standardization/SKILL.md.agent-skills/skill-standardization/scripts/validate_skill.sh