Agent skill

localsend-analysis

Analyze LocalSend repos with tree-sitter tags, gh GraphQL contributor snapshots, and protocol safety notes.

Stars 163
Forks 31

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]

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/ - 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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