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skill-integrationlisted

Patterns for agent skill discovery, referencing, and composition using progressive disclosure architecture. Use when building agents, composing skills, or optimizing context usage. TRIGGER when: skill discovery, agent integration, skill composition, progressive disclosure. DO NOT TRIGGER when: implementing features, writing tests, documentation-only changes.
akaszubski/autonomous-dev · ★ 29 · AI & Automation · score 68
Install: claude install-skill akaszubski/autonomous-dev
# Skill Integration Skill Standardized patterns for how agents discover, reference, and use skills effectively in Claude Code 2.0+. ## When This Activates - Working with agent prompts or skill references - Implementing new agents or skills - Understanding skill architecture - Optimizing context usage - Keywords: "skill", "progressive disclosure", "skill discovery", "agent integration" ## Overview The skill-integration skill provides standardized patterns for: - **Skill discovery**: How agents find relevant skills based on task keywords - **Progressive disclosure**: Loading skill content on-demand to prevent context bloat - **Skill composition**: Combining multiple skills for complex tasks - **Skill reference format**: Consistent way agents reference skills in prompts ## Progressive Disclosure Architecture ### What It Is Progressive disclosure is a design pattern where: 1. **Metadata stays in context** - Skill names, descriptions, keywords (~50 tokens) 2. **Full content loads on-demand** - Detailed guidance only when needed (~5,000-15,000 tokens) 3. **Context stays efficient** - Support 50-100+ skills without bloat ### Why It Matters **Without progressive disclosure:** - 20 skills × 500 tokens each = 10,000 tokens in context - Context bloated before agent even starts work - Can't scale beyond 20-30 skills **With progressive disclosure:** - 100 skills × 50 tokens each = 5,000 tokens in context - Full skill content only loads when relevant - Scales to 100+ skills without