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claude-code

Asi localsend-analysis

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

install
source · Clone the upstream repo
git clone https://github.com/plurigrid/asi
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/plurigrid/asi "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/asi/skills/localsend-analysis" ~/.claude/skills/plurigrid-asi-localsend-analysis && rm -rf "$T"
manifest: plugins/asi/skills/localsend-analysis/SKILL.md
source content

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:

Notes

  • Important note 1
  • Important note 2
<!-- PROGRESSIVE DISCLOSURE GUIDELINES: - Keep this file ~50 lines total (max ~150 lines) - Use 1-2 code blocks only (recommend 1) - Keep description <200 chars for Level 1 efficiency - Move detailed docs to references/ for Level 3 loading - This is Level 2 - quick reference ONLY, not a manual LLM WORKFLOW (when editing this file): 1. Write/edit SKILL.md 2. Format (if formatter available) 3. Run: claude-skills-cli validate <path> 4. If multi-line description warning: run claude-skills-cli doctor <path> 5. Validate again to confirm -->

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

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.