用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/akillness/oh-my-skills --skill agentic-skills命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
| name | agentic-skills |
| description | Use this skill when > |
Keyword:
agentic-skills·/spec·/plan·/build·/test·/review·/code-simplify·/ship"Seems right is never sufficient." — ground every output in measurable verification.
agentic-skills is a production-grade engineering framework that encodes the workflows, quality gates, and best practices senior engineers use when building software. It draws from Google's engineering culture (Software Engineering at Google): trunk-based development, Shift Left testing, Hyrum's Law, Chesterton's Fence, and the code-as-liability mindset.
Plugin install (Claude Code):
/plugin marketplace add addyosmani/agent-skills
/plugin install agent-skills@addy-agent-skills
jeo, omc, or harnesssurveyharness/plugin marketplace add addyosmani/agent-skills
/plugin install agent-skills@addy-agent-skills
# Or via HTTPS:
/plugin marketplace add https://github.com/addyosmani/agent-skills.git
gemini skills install https://github.com/addyosmani/agent-skills.git --path skills
Copy the contents of each skills/*.md file into .cursor/rules/ or the editor's rules configuration.
Uses agent-driven execution via AGENTS.md in the repo root.
git clone https://github.com/addyosmani/agent-skills.git
# Reference skill files from the local path
Choose the phase that matches the current work. Each phase maps to one or more slash commands.
/specSkills: idea-refine, spec-driven-development
Start here when the request is ambiguous or underspecified.
idea-refine: Convert rough concepts into concrete, actionable proposalsspec-driven-development: Create a full PRD (requirements, constraints, acceptance criteria) before any code is written/spec "build a user authentication flow"
Anti-rationalization: never skip spec because "the idea is obvious" — misaligned intent causes the most expensive rework.
/planSkill: planning-and-task-breakdown
Decompose the spec into small, independently verifiable work units.
/plan # after /spec is frozen
/buildSkills: incremental-implementation, test-driven-development, context-engineering, source-driven-development, frontend-ui-engineering, api-and-interface-design
Implement against the spec, not improvised chat context.
/build # slice-by-slice against the frozen spec
/testSkills: browser-testing-with-devtools, debugging-and-error-recovery
Verify before claiming success.
/test # mechanical + semantic + browser verification
Drift thresholds:
0.00–0.15 — excellent, proceed0.15–0.30 — watch closely0.30+ — stop and correct before continuing/review and /code-simplifySkills: code-review-and-quality, code-simplification, security-and-hardening, performance-optimization
Review along five axes before merging.
/review # five-axis quality gates
/code-simplify # behavior-preserving clarity pass
Change sizing standards:
/shipSkills: git-workflow-and-versioning, ci-cd-and-automation, deprecation-and-migration, documentation-and-adrs, shipping-and-launch
Ship with discipline.
/ship # pre-launch checklist + staged rollout
Three specialist personas for review work:
| Persona | Focus |
|---|---|
code-reviewer | Correctness, architecture, readability, test coverage |
test-engineer | Test strategy, edge cases, coverage gaps |
security-auditor | OWASP Top 10, secrets, auth flows, input validation |
| Checklist | Purpose |
|---|---|
testing-patterns | Test types, isolation, coverage targets |
security-checklist | OWASP alignment, auth, secrets, headers |
performance-checklist | CWV targets, bundle budget, render paths |
accessibility-checklist | WCAG 2.1 AA, keyboard, ARIA, focus |
| Principle | Application |
|---|---|
| Code as Liability | Every line is a maintenance burden; justify its existence |
| Hyrum's Law | Every observable behavior will be depended on — be explicit about contracts |
| Chesterton's Fence | Understand why something exists before removing it |
| The Beyonce Rule | "If you liked it, you should have put a test on it" |
| Shift Left | Catch problems early (spec) rather than late (prod) |
| Trunk-Based Development | Short-lived branches, frequent integration, feature flags for risky work |
| Command | Phase | Purpose |
|---|---|---|
/spec | Define | Write spec / PRD before coding |
/plan | Plan | Break spec into verifiable tasks |
/build | Build | Incremental implementation against spec |
/test | Verify | Browser + runtime + acceptance verification |
/review | Review | Five-axis quality gate |
/code-simplify | Review | Behavior-preserving clarity pass |
/ship | Ship | Pre-launch checklist + staged rollout |
Source: addyosmani/agent-skills — MIT License
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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.
基于 SOC 职业分类