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Ast Grep

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coleam00
ast-grep

Guide for writing ast-grep rules to perform structural code search and analysis. Use when users need to search codebases using Abstract Syntax Tree (AST) patterns, find specific code structures, or perform complex code queries that go beyond simple text search. This skill should be used when users ask to search for code patterns, find specific language constructs, or locate code with particular structural characteristics.

Overview

Publishercoleam00
Repositoryskills
Skill nameast-grep
Stars
722
Forks
190
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by coleam00 on GitHub. Read the source before you install it.

Installation

Install the Ast Grep AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/coleam00/skills/tree/main/.claude/skills/ast-grep
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/coleam00/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/.claude/skills/ast-grep .claude/skills/ast-grep
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ast Grep in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ast Grep on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ast Grep is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ast-grep Code Search

Overview

This skill helps translate natural language queries into ast-grep rules for structural code search. ast-grep uses Abstract Syntax Tree (AST) patterns to match code based on its structure rather than just text, enabling powerful and precise code search across large codebases.

When to Use This Skill

Use this skill when users:

  • Need to search for code patterns using structural matching (e.g., "find all async functions that don't have error handling")
  • Want to locate specific language constructs (e.g., "find all function calls with specific parameters")
  • Request searches that require understanding code structure rather than just text
  • Ask to search for code with particular AST characteristics
  • Need to perform complex code queries that traditional text search cannot handle

General Workflow

Follow this process to help users write effective ast-grep rules:

Step 1: Understand the Query

Clearly understand what the user wants to find. Ask clarifying questions if needed:

  • What specific code pattern or structure are they looking for?
  • Which programming language?
  • Are there specific edge cases or variations to consider?
  • What should be included or excluded from matches?

Step 2: Create Example Code

Write a simple code snippet that represents what the user wants to match. Save this to a temporary file for testing.

Example: If searching for "async functions that use await", create a test file:

javascript
// test_example.js
async function example() {
  const result = await fetchData();
  return result;
}

Step 3: Write the ast-grep Rule

Translate the pattern into an ast-grep rule. Start simple and add complexity as needed.

Key principles:

  • Always use stopBy: end for relational rules (inside, has) to ensure search goes to the end of the direction
  • Use pattern for simple structures
  • Use kind with has/inside for complex structures
  • Break complex queries into smaller sub-rules using all, any, or not

Example rule file (test_rule.yml):

yaml
id: async-with-await
language: javascript
rule:
  kind: function_declaration
  has:
    pattern: await $EXPR
    stopBy: end

See references/rule_reference.md for comprehensive rule documentation.

Step 4: Test the Rule

Use ast-grep CLI to verify the rule matches the example code. There are two main approaches:

Option A: Test with inline rules (for quick iterations)

bash
echo "async function test() { await fetch(); }" | ast-grep scan --inline-rules "id: test
language: javascript
rule:
  kind: function_declaration
  has:
    pattern: await \$EXPR
    stopBy: end" --stdin

Option B: Test with rule files (recommended for complex rules)

bash
ast-grep scan --rule test_rule.yml test_example.js

Debugging if no matches:

  1. Simplify the rule (remove sub-rules)
  2. Add stopBy: end to relational rules if not present
  3. Use --debug-query to understand the AST structure (see below)
  4. Check if kind values are correct for the language

Step 5: Search the Codebase

Once the rule matches the example code correctly, search the actual codebase:

For simple pattern searches:

bash
ast-grep run --pattern 'console.log($ARG)' --lang javascript /path/to/project

For complex rule-based searches:

bash
ast-grep scan --rule my_rule.yml /path/to/project

For inline rules (without creating files):

bash
ast-grep scan --inline-rules "id: my-rule
language: javascript
rule:
  pattern: \$PATTERN" /path/to/project

ast-grep CLI Commands

Inspect Code Structure (--debug-query)

Dump the AST structure to understand how code is parsed:

bash
ast-grep run --pattern 'async function example() { await fetch(); }' \
  --lang javascript \
  --debug-query=cst

Available formats:

  • cst: Concrete Syntax Tree (shows all nodes including punctuation)
  • ast: Abstract Syntax Tree (shows only named nodes)
  • pattern: Shows how ast-grep interprets your pattern

Use this to:

  • Find the correct kind values for nodes
  • Understand the structure of code you want to match
  • Debug why patterns aren't matching

Example:

bash
# See the structure of your target code
ast-grep run --pattern 'class User { constructor() {} }' \
  --lang javascript \
  --debug-query=cst

# See how ast-grep interprets your pattern
ast-grep run --pattern 'class $NAME { $$$BODY }' \
  --lang javascript \
  --debug-query=pattern

Test Rules (scan with --stdin)

Test a rule against code snippet without creating files:

bash
echo "const x = await fetch();" | ast-grep scan --inline-rules "id: test
language: javascript
rule:
  pattern: await \$EXPR" --stdin

Add --json for structured output:

bash
echo "const x = await fetch();" | ast-grep scan --inline-rules "..." --stdin --json

Search with Patterns (run)

Simple pattern-based search for single AST node matches:

bash
# Basic pattern search
ast-grep run --pattern 'console.log($ARG)' --lang javascript .

# Search specific files
ast-grep run --pattern 'class $NAME' --lang python /path/to/project

# JSON output for programmatic use
ast-grep run --pattern 'function $NAME($$$)' --lang javascript --json .

When to use:

  • Simple, single-node matches
  • Quick searches without complex logic
  • When you don't need relational rules (inside/has)

Search with Rules (scan)

YAML rule-based search for complex structural queries:

bash
# With rule file
ast-grep scan --rule my_rule.yml /path/to/project

# With inline rules
ast-grep scan --inline-rules "id: find-async
language: javascript
rule:
  kind: function_declaration
  has:
    pattern: await \$EXPR
    stopBy: end" /path/to/project

# JSON output
ast-grep scan --rule my_rule.yml --json /path/to/project

When to use:

  • Complex structural searches
  • Relational rules (inside, has, precedes, follows)
  • Composite logic (all, any, not)
  • When you need the power of full YAML rules

Tip: For relational rules (inside/has), always add stopBy: end to ensure complete traversal.

Tips for Writing Effective Rules

Always Use stopBy: end

For relational rules, always use stopBy: end unless there's a specific reason not to:

yaml
has:
  pattern: await $EXPR
  stopBy: end

This ensures the search traverses the entire subtree rather than stopping at the first non-matching node.

Start Simple, Then Add Complexity

Begin with the simplest rule that could work:

  1. Try a pattern first
  2. If that doesn't work, try kind to match the node type
  3. Add relational rules (has, inside) as needed
  4. Combine with composite rules (all, any, not) for complex logic

Use the Right Rule Type

  • Pattern: For simple, direct code matching (e.g., console.log($ARG))
  • Kind + Relational: For complex structures (e.g., "function containing await")
  • Composite: For logical combinations (e.g., "function with await but not in try-catch")

Debug with AST Inspection

When rules don't match:

  1. Use --debug-query=cst to see the actual AST structure
  2. Check if metavariables are being detected correctly
  3. Verify the node kind matches what you expect
  4. Ensure relational rules are searching in the right direction

Escaping in Inline Rules

When using --inline-rules, escape metavariables in shell commands:

  • Use \$VAR instead of $VAR (shell interprets $ as variable)
  • Or use single quotes: '$VAR' works in most shells

Example:

bash
# Correct: escaped $
ast-grep scan --inline-rules "rule: {pattern: 'console.log(\$ARG)'}" .

# Or use single quotes
ast-grep scan --inline-rules 'rule: {pattern: "console.log($ARG)"}' .

Common Use Cases

Find Functions with Specific Content

Find async functions that use await:

bash
ast-grep scan --inline-rules "id: async-await
language: javascript
rule:
  all:
    - kind: function_declaration
    - has:
        pattern: await \$EXPR
        stopBy: end" /path/to/project

Find Code Inside Specific Contexts

Find console.log inside class methods:

bash
ast-grep scan --inline-rules "id: console-in-class
language: javascript
rule:
  pattern: console.log(\$\$\$)
  inside:
    kind: method_definition
    stopBy: end" /path/to/project

Find Code Missing Expected Patterns

Find async functions without try-catch:

bash
ast-grep scan --inline-rules "id: async-no-trycatch
language: javascript
rule:
  all:
    - kind: function_declaration
    - has:
        pattern: await \$EXPR
        stopBy: end
    - not:
        has:
          pattern: try { \$\$\$ } catch (\$E) { \$\$\$ }
          stopBy: end" /path/to/project

Resources

references/

Contains detailed documentation for ast-grep rule syntax:

  • rule_reference.md: Comprehensive ast-grep rule documentation covering atomic rules, relational rules, composite rules, and metavariables

Load these references when detailed rule syntax information is needed.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ast Grep AI skill do?

Guide for writing ast-grep rules to perform structural code search and analysis. Use when users need to search codebases using Abstract Syntax Tree (AST) patterns, find specific code structures, or perform complex code queries that go beyond simple text search. This skill should be used when users ask to search for code patterns, find specific language constructs, or locate code with particular structural characteristics.

Why use Ast Grep on TypingMind?

Because you install it once and use it with any model. Ast Grep is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ast Grep in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/coleam00/skills/tree/main/.claude/skills/ast-grep. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ast Grep?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ast Grep?

As many as you like. As long as a model supports skills, you can use Ast Grep with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ast Grep AI skill free?

Yes. It is published on GitHub by coleam00 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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