Asi tree-sitter

AST-based code analysis using tree-sitter. Use for parsing code structure, extracting symbols, finding patterns with tree-sitter queries, analyzing complexity, and understanding code architecture. Supports Python, JavaScript, TypeScript, Go, Rust, C, C++, Swift, Java, Kotlin, Julia, and more.

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 "$T/plugins/asi/skills/tree-sitter" ~/.claude/skills/plurigrid-asi-tree-sitter && rm -rf "$T"

manifest: plugins/asi/skills/tree-sitter/SKILL.md

source content

Tree-sitter Code Analysis

Intelligent code analysis via AST parsing with tree-sitter.

When to Use

Understanding code structure across multiple languages
Extracting function/class definitions
Finding code patterns with tree-sitter queries
Analyzing code complexity
Symbol extraction and dependency analysis

Setup

MCP server configured in

~/.mcp.json

{
  "tree-sitter": {
    "command": "python3",
    "args": ["-m", "mcp_server_tree_sitter.server"],
    "cwd": "/Users/alice/mcp-server-tree-sitter"
  }
}

Usage Pattern

1. Register a Project First

register_project_tool(path="/path/to/project", name="my-project")

2. Explore Files

list_files(project="my-project", pattern="**/*.py")
get_file(project="my-project", path="src/main.py")

3. Analyze Structure

get_ast(project="my-project", path="src/main.py", max_depth=3)
get_symbols(project="my-project", path="src/main.py")

4. Search with Queries

find_text(project="my-project", pattern="function", file_pattern="**/*.py")
run_query(
  project="my-project",
  query='(function_definition name: (identifier) @function.name)',
  language="python"
)

5. Complexity Analysis

analyze_complexity(project="my-project", path="src/main.py")

Available Tools

Project:

register_project_tool

list_projects_tool

remove_project_tool

Language:
```
list_languages
```
,
```
check_language_available
```
Files:
```
list_files
```
,
```
get_file
```
,
```
get_file_metadata
```
AST:
```
get_ast
```
,
```
get_node_at_position
```
Search:
```
find_text
```
,
```
run_query
```
Symbols:
```
get_symbols
```
,
```
find_usage
```

Analysis:

analyze_project

get_dependencies

analyze_complexity

Queries:

get_query_template_tool

build_query

adapt_query

Similar Code:
```
find_similar_code
```

Supported Languages

Python, JavaScript, TypeScript, Go, Rust, C, C++, Swift, Java, Kotlin, Julia, APL, and many more via tree-sitter-language-pack.

Scientific Skill Interleaving

This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:

Tree Structures

etetoolkit [○] via bicomodule
- Tree parsing and traversal

Bibliography References

```
graph-theory
```
: 38 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.