Claude-skill-registry localsend-analysis
Analyze LocalSend repos with tree-sitter tags, gh GraphQL contributor snapshots, and protocol safety notes.
git clone https://github.com/majiayu000/claude-skill-registry
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/localsend-analysis" ~/.claude/skills/majiayu000-claude-skill-registry-localsend-analysis && rm -rf "$T"
skills/data/localsend-analysis/SKILL.mdLocalsend 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
: 734 citations in bib.duckdbgeneral
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.