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Cognitive architecture for AI-augmented software development with structured memory, ensemble validation, and closed-loop correction. FAIR-aligned artifacts, 84% cost reduction via human-in-the-loop, standards adopted by 100+ organizations.

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# Skill Creation Guide Skills are reusable, auto-triggering capabilities that extend agent functionality. Unlike commands (user-invoked) or agents (orchestrator-launched), skills activate automatically when context matches. ## Skill Anatomy ``` skills/ └── my-skill/ ├── SKILL.md # Required: Skill definition └── scripts/ # Optional: Implementation scripts └── my_script.py ``` ### SKILL.md Structure ```markdown --- name: my-skill description: Brief description (shown in skill catalog) triggers: - pattern: "regex or keyword" weight: 0.8 tags: [category, domain] --- # Skill Title ## Purpose What this skill does and when it activates. ## Execution Steps 1. Step one 2. Step two ## Output Format Expected output structure. ``` ## Trigger Patterns Skills activate based on trigger patterns matching user context: | Trigger Type | Example | Use Case | |--------------|---------|----------| | Keyword | `"security review"` | Direct phrase match | | Regex | `"(deploy|release) to prod"` | Flexible matching | | Context | `"*.test.ts"` file in context | File-based activation | ## Implementation Patterns ### Prompt-Only Skills Most skills need no code - the SKILL.md prompt is sufficient: ```markdown ## Execution Steps 1. Read the target file using the Read tool 2. Analyze for patterns X, Y, Z 3. Report findings in structured format ``` ### Script-Backed Skills For complex logic, add Python/Node scripts: ```markdown ## Execution Steps 1. Run `scripts/analyze.py` with file path 2. Parse JSON output 3. Present findings to user ``` Script conventions: - Location: `skills/<skill-name>/scripts/` - Input: CLI arguments or stdin - Output: JSON to stdout - Errors: stderr with exit code ## Creating a Skill ### Via CLI ```bash aiwg add-skill my-skill --to aiwg-utils ``` ### Via DevKit Command ``` /devkit-create-skill my-skill ``` ### Manual Creation 1. Create `skills/my-skill/SKILL.md` 2. Add frontmatter with name, description, triggers 3. Document execution steps 4. Optionally add scripts ## Skill Categories | Category | Location | Purpose | |----------|----------|---------| | SDLC | `sdlc-complete/skills/` | Lifecycle workflows | | Marketing | `media-marketing-kit/skills/` | Campaign operations | | Utilities | `aiwg-utils/skills/` | Cross-cutting tools | | Voice | `voice-framework/skills/` | Writing assistance | | Testing | `testing-quality/skills/` | Test automation | | Doc Intel | `doc-intelligence/skills/` | Document processing | ## Skill vs Command vs Agent | Aspect | Skill | Command | Agent | |--------|-------|---------|-------| | Invocation | Auto-trigger | `/slash-command` | Task tool | | Scope | Single capability | User workflow | Domain expertise | | Context | Stateless | Session | Isolated | | Output | Inline | Varies | Report back | ## Best Practices 1. **Single responsibility**: One skill, one purpose 2. **Clear triggers**: Avoid overlapping patterns 3. **Graceful degradation**: Handle missing context 4. **Structured output**: Consistent format 5. **Documentation**: Explain when/why skill activates ## Testing Skills ```bash # Validate skill structure node tools/scaffolding/validate.mjs skills/<skill-name> # Test trigger matching aiwg skill-test <skill-name> "sample context" ``` ## Deployment Skills deploy automatically with `aiwg use`: ```bash aiwg use sdlc # Deploys SDLC skills to .claude/skills/ aiwg use marketing # Deploys marketing skills aiwg use all # Deploys all skills ``` ## References - [DevKit Overview](devkit-overview.md) - [Add-Skill CLI](../../tools/scaffolding/add-skill.mjs) - [Skill Factory Addon](../../agentic/code/addons/skill-factory/)