cm-skill-indexlisted

# Skill Index — Progressive Disclosure Engine ## TL;DR - **Use when** searching for a CodyMaster or community skill - **Layered**: L1 index (always loaded) → L2 summary → L3 full - **Includes**: discovery, search, mastery (consolidated in v6) > **Save 90%+ tokens.** Agents scan the index first, load full skills only when executing. > Inspired by Loki Mode's 3-Layer Progressive Disclosure memory architecture. ## The Problem Traditional approach: Load every SKILL.md to decide which skill to use. - 30+ skills × ~3000 tokens each = **90,000+ tokens just for discovery** - Agent only needs ~500 tokens to make the choice - **89,500 tokens wasted on reading full skills** ## The Solution: 3-Layer Loading ``` ┌────────────────────────────────────────────────┐ │ LAYER 1: INDEX (~100 tokens per skill) │ │ Always loaded. Quick scan. "What exists?" │ │ Name + Domain + Triggers + 1-line summary │ └─────────────────────┬──────────────────────────┘ │ (match found?) v ┌────────────────────────────────────────────────┐ │ LAYER 2: SUMMARY (~300 tokens per skill) │ │ Load when choosing. "Is this the right one?" │ │ Description + When to use + Integration table │ └─────────────────────┬──────────────────────────┘ │ (confirmed?) v ┌────────────────────────────────────────────────┐ │ LAYER 3: FULL SKILL.md (1500-5000 tokens) │ │ Load ONLY during execution. "How to us