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@anionzo/skill

v2.0.1

Published

16 vendor-neutral skills for AI-powered software engineering. Core Chain + Anionzo Chain + Standalone skills, explicit modes, canonical workflows.

Downloads

136

Readme

🧠 Personal AI Skill Library

A vendor-neutral, multi-agent skill library for AI-powered software engineering

Skills Knowledge Platforms License Contributing npm


🌐 Tiếng Việt


🎯 Keep repeatable AI workflows in one place. Separate skills from knowledge. Work across any agent.

🏗️ Design Goals

| | Goal | |---|---| | 🔹 | Skills are small, specific, and reusable — with modes instead of separate files | | 🔹 | Knowledge is stored separately from skills | | 🔹 | Adapters are generated from one source — not hand-maintained | | 🔹 | Works without any custom plugin runtime (general skills) | | 🔹 | Anionzo ecosystem skills extend the core with structured workflows |


🎯 Skill Catalog

16 skills in three categories: Core Chain, Anionzo Chain, and Standalone.

═══════════════════════════════════════════════════

🧩 Core Chain

Primary workflow — works in any project

═══════════════════════════════════════════════════

using-skills → brainstorming → research → planning → feature-delivery
     (router)        (if vague)    (before impl)     │
                                                  ┌──┴──┐
                                                  ▼     ▼
                                            debug  docs-writer
                                                  │
                                             code-review
                                                  │
                                                commit
                                                  │
                                               extract

| | Skill | Purpose | Modes | |---|---|---|---| | 🧭 | using-skills | Route a request to the right skill and mode | router | | 💡 | brainstorming | Explore ideas, lock decisions, write spec | quick · spec · deep-explore | | 🔎 | research | Explore codebase, onboard repo, deep-scout feature discovery, upgrade prompts, codebase intel | quick-search · repo-bootstrap · deep-scout · prompt-upgrade · codebase-intel | | 📐 | planning | Research → plan → validation gate before any code is written | full pipeline + Phase 8 validation gate | | 🚀 | feature-delivery | Implement, test-first, or refactor | standard · tdd · refactor | | 🐛 | debug | 4-phase systematic debugging with root cause investigation | + anionzo ecosystem extensions | | 📖 | docs-writer | Create or update documentation from verified source behavior | prompt-only · docs-execution · prompt+execution | | 🔍 | code-review | Give reviews, receive reviews, verify before claiming done | verification-gate · giving · receiving | | 📝 | commit | Create clean conventional commits with staged review | — | | 🧬 | extract | Extract learnings, session handoff, deep compounding, dream consolidation | handoff · extract · compound · dream |


═══════════════════════════════════════════════════

⚙️ Anionzo Chain

Structured multi-agent workflow — anionzo ecosystem only

═══════════════════════════════════════════════════

using-anionzo → brainstorming → research → planning → swarming → reviewing → extract
   (bootstrap)      (deep-explore)   (+ validation gate)   (workers)    (5-agent verify)    (compound)

| | Skill | Purpose | Position | |---|---|---|---| | ⚙️ | using-anionzo | Bootstrap anionzo projects: onboarding, STATE.md, go-mode pipeline | entry point | | 🐝 | swarming | Orchestrate parallel worker agents with rescue coordination | phase 5 of 9 | | 📋 | reviewing | Post-execution verification: 5 specialist agents + artifact checks + human UAT | phase 7 of 9 |


═══════════════════════════════════════════════════

🔧 Standalone Skills

Secondary — load only when the task matches

═══════════════════════════════════════════════════

Standalone skills remain available, but they are intentionally secondary to the Core and Anionzo chains in this repo's top-level narrative.

| | Skill | Purpose | |---|---|---| | 🎨 | animated-landing-pages | Motion-first landing page with AI-generated visuals | | 📚 | book-sft-pipeline | Fine-tune models on book style: ePub → SFT dataset → LoRA training | | 🛠️ | writing-anionzo-skills | Create or edit anionzo skills using TDD methodology |


Skill Modes at a Glance

┌──────────────────┬──────────────────────────────────────────────────────┐
│     SKILL         │  MODES                                                   │
├──────────────────┼──────────────────────────────────────────────────────┤
│ brainstorming    │ quick · spec · deep-explore                              │
│ research         │ quick-search · repo-bootstrap · deep-scout · prompt-upgrade │
│                  │   · codebase-intel                                        │
│ feature-delivery │ standard · tdd · refactor                               │
│ docs-writer      │ prompt-only · docs-execution · prompt+execution          │
│ code-review      │ verification-gate · giving · receiving                 │
│ extract          │ handoff · extract · compound · dream                   │
└──────────────────┴──────────────────────────────────────────────────────┘

| Skill | Mode | When to use | |---|---|---| | brainstorming | quick | Lock direction only — no output artifact | | brainstorming | spec | Write full spec: FR/NFR/ACs/Given-When-Then | | brainstorming | deep-explore | Socratic dialogue + locked decisions + CONTEXT.md (anionzo) | | research | quick-search | Targeted lookup in known repo | | research | repo-bootstrap | Onboard to unfamiliar repo | | research | deep-scout | High-risk feature: map stack + local reuse + upstream + official docs (HARD-GATE: no code before brief) | | research | prompt-upgrade | Refine rough prompt into execution-ready instruction | | research | codebase-intel | Use gkg MCP tools for architecture snapshot | | feature-delivery | standard | Normal feature implementation | | feature-delivery | tdd | Test-first: red-green-refactor before production code | | feature-delivery | refactor | Restructure code without changing behavior | | docs-writer | prompt-only | Return upgraded prompt, no doc execution | | docs-writer | docs-execution | Directly update docs from live repo | | docs-writer | prompt+execution | Both: return prompt and execute | | code-review | verification-gate | Iron law: no claim without fresh evidence | | code-review | giving | Review diffs, PRs, commit ranges | | code-review | receiving | Respond to review feedback | | extract | handoff | Session near context limit — compress state for next session | | extract | extract | Capture durable learnings from completed task | | extract | compound | Post-merge deep analysis: 3 parallel subagents (anionzo) | | extract | dream | Consolidation pass over accumulated learnings (anionzo) |


📖 Research Highlights

| Source | Key Pattern | |---|---| | 🏛️ anthropics/skills | Minimal, portable skill packaging | | ⚡ obra/superpowers | Brainstorm → plan → execute → verify workflow | | 🧩 affaan-m/everything-claude-code | Layered model: skills, rules, memory, adapters | | 🗃️ knowns-dev/knowns | Separate skills from knowledge; generate platform files | | 📦 hoangnb24/skills | Workflow-first skill design with router and output contracts | | 🧩 anionzo/skills | Anionzo ecosystem: bead graph, swarm orchestration, compounding |


🚀 Quick Start

npx @anionzo/skill

For a reusable local CLI:

cd /path/to/skill
npm link

Then inside any project:

anionzo init
# or
anionzo skill init

Non-interactive:

anionzo init --yes
anionzo init --platform opencode,claude,copilot,gitignore
npx @anionzo/skill --platform opencode,agents
  • Windows: Uses PowerShell automatically (.cmd + .mjs + .ps1)
  • Linux/macOS: Uses bash script

Version 2.0.0 required.

npm cache clean --force
npx --yes @anionzo/skill

After installation, open your agent and say:

  • Use the using-skills router for this task
  • Use the anionzo go-mode pipeline for this feature
  • Help me understand this repo first
  • Plan this feature, then implement it

📦 Install via npm

# Recommended
npx @anionzo/skill

# Quiet first-run
npx -y --loglevel=error @anionzo/skill

# Add as project dependency
npm install @anionzo/skill

🔌 Agent Integration

This repo is the source of truth. Generated files are delivery artifacts only.

| Agent | Copy from | Copy to | |---|---|---| | 🤖 Claude Code | generated/CLAUDE.md | CLAUDE.md | | ⚡ OpenCode | generated/OPENCODE.md | OPENCODE.md | | 💎 Gemini CLI | generated/GEMINI.md | GEMINI.md | | 🔧 Generic | generated/AGENTS.md | AGENTS.md | | 🐙 GitHub Copilot | generated/copilot-instructions.md | .github/copilot-instructions.md |


➕ Create A New Skill

# 1. Scaffold from template
cp -r templates/ skills/<new-skill>/

# 2. Edit the files
vim skills/<new-skill>/SKILL.md
vim skills/<new-skill>/meta.yaml

# 3. Validate
bash scripts/validate-skills

# 4. Regenerate platform files
bash scripts/sync-platform-files

For anionzo ecosystem skills, also read skills/writing-anionzo-skills/SKILL.md for TDD-for-skills methodology.


⚙️ Commands

| Command | Purpose | |---|---| | bash scripts/validate-skills | Check all skills have required files and keys | | bash scripts/sync-platform-files | Generate platform instruction files |


📋 Recommended Customization Order

  1. 🥇 knowledge/global/engineering-principles.md
  2. 🥈 knowledge/global/review-heuristics.md
  3. 🥉 knowledge/global/debugging-patterns.md
  4. 🎯 skills/using-skills/SKILL.md — the router, customize routing for your stack
  5. 🔌 Adapter output for your two most-used agents

🤝 Contributing

We welcome contributions! See CONTRIBUTING.md for:

  • ➕ How to add a new skill
  • ✏️ How to edit existing skills
  • 📚 How to contribute knowledge
  • 🔄 Pull request process and conventions

📌 Notes

  • generated/ is gitignored — regenerate after any skill/knowledge change
  • General skills (no deps) work in any project without plugins
  • Anionzo ecosystem skills require .anionzo/ onboarding (run anionzo init first)
  • Standalone skills are secondary to the Core and Anionzo chains
  • All skills follow the Shared Output Contract: Goal/Result → Key Details → Next Action

Built with ❤️ for AI-assisted software engineering