Agent skill
localsend-analysis
Analyze LocalSend repos with tree-sitter tags, gh GraphQL contributor snapshots, and protocol safety notes.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/localsend-analysis
SKILL.md
Localsend Analysis
Quick Start
[Provide ONE minimal working example - the most common use case]
// 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/ - 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.
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