--- name: localsend-analysis description: Analyze LocalSend repos with tree-sitter tags, gh GraphQL contributor snapshots, and protocol safety notes. version: 1.0.0 --- # Localsend Analysis ## Quick Start [Provide ONE minimal working example - the most common use case] ```typescript // Keep this concise - show essential code only // Move detailed examples to references/ for Level 3 loading ``` ## Core Principles - Principle 1: [Key concept] - Principle 2: [Key concept] - Principle 3: [Key concept] ## Common Patterns ### [Most Frequent Pattern] [Brief description - keep under 100 words] ## Reference Files For detailed documentation, see: - [references/](references/) - Add detailed guides here ## Notes - Important note 1 - Important note 2 ## Scientific Skill Interleaving This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem: ### Eda - **exploratory-data-analysis** [○] via bicomodule ### Bibliography References - `general`: 734 citations in bib.duckdb ## SDF Interleaving This skill connects to **Software Design for Flexibility** (Hanson & Sussman, 2021): ### Primary Chapter: 4. Pattern Matching **Concepts**: unification, match, segment variables, pattern ### GF(3) Balanced Triad ``` localsend-analysis (○) + SDF.Ch4 (+) + [balancer] (−) = 0 ``` **Skill Trit**: 0 (ERGODIC - coordination) ### Connection Pattern Pattern matching extracts structure. This skill recognizes and transforms patterns. ## Cat# Integration This skill maps to **Cat# = Comod(P)** as a bicomodule in the equipment structure: ``` Trit: 0 (ERGODIC) Home: Prof Poly Op: ⊗ Kan Role: Adj Color: #26D826 ``` ### GF(3) Naturality The skill participates in triads satisfying: ``` (-1) + (0) + (+1) ≡ 0 (mod 3) ``` This ensures compositional coherence in the Cat# equipment structure.