SOC 職業分類に基づく
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 write-a-skill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。
SKILL.md を表示中
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.
Create structured agent skills with proper documentation.
The description field is the only thing your agent sees when deciding which skill to load.
Write descriptions that:
Understand:
Create SKILL.md as the core file. Keep it under 100 lines.
Split into additional files when:
Supported supporting files:
REFERENCE.md — detailed reference contentEXAMPLES.md — concrete examplesscripts/ — deterministic utility scriptsPresent the draft. Validate:
---
name: skill-name
description: >
One-paragraph description of what this skill does and when to use it.
Include trigger conditions: "Use when [specific context]."
allowed-tools: Read Grep Glob Bash Write Edit
compatibility: >
Platform and context compatibility notes. What it pairs with.
metadata:
tags: tag1, tag2, tag3, tag4
platforms: Claude, ChatGPT, Gemini, Codex
version: "1.0"
source: your-github/repo
---
# Skill Name
Brief intro paragraph.
## When to use this skill
- Condition 1
- Condition 2
## When not to use this skill
- Route-out 1 → use `other-skill`
- Route-out 2 → use `other-skill`
## Instructions
[ ]
.agent-skills/skill-standardization/SKILL.md.agent-skills/skill-standardization/scripts/validate_skill.sh