C To Ast logo

C To Ast

Organization
Narwhal-Lab
c-to-ast

Parse C source code into an Abstract Syntax Tree (AST). Use when analyzing C programs, understanding code structure, performing static analysis, or preparing code for further program analysis (e.g., CFG, DFG, vulnerability detection).

Overview

PublisherNarwhal-Lab
RepositoryMagicSkills
Skill namec-to-ast
Stars
317
Forks
24
Bundled files
6
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.

  • 6 bundled files

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

  • Open source

    Published by Narwhal-Lab on GitHub. Read the source before you install it.

Installation

Install the C To Ast 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.
  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/Narwhal-Lab/MagicSkills.git /tmp/MagicSkills
mkdir -p .claude/skills
cp -r /tmp/MagicSkills/skill_template/c_2_ast .claude/skills/c-to-ast
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable C To Ast 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 C To Ast 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 C To Ast 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.

C to AST Skill

Purpose

This Skill converts C source code into its Abstract Syntax Tree (AST) representation.

Use this Skill when you need to:

  • Understand the structure of a C program
  • Analyze functions, statements, and expressions
  • Prepare C code for static analysis or security analysis
  • Transform C code into an intermediate representation (AST)
  • Feed structured code information into downstream tools or agents

The AST is generated using a Python-based C parser and printed directly to standard output.


When to Use

Apply this Skill when the user asks to:

  • “Parse this C code”
  • “Convert this C file to an AST”
  • “Show me the AST of this C program”
  • “Analyze the structure of this C code”
  • “Extract syntax tree / abstract syntax tree from C”

This Skill is especially useful in compiler frontends, program analysis, and security research workflows.


Instructions

Follow these steps strictly and in order:

  1. Navigate to the Skill scripts directory

    • Change working directory to the scripts/ directory under this skill:
      scripts/
  2. Handle the input C source

    • If the user provides a path to a .c file, use it directly.
    • If the user provides inline C code as a string, you must first save it to a C source file using the provided script:
      bash
      python3 save_c.py --input "<C code string>" --output <output_dir> --filename <filename>.c
    • Ensure the generated file has a .c extension and is successfully written to disk.
  3. Run the AST extraction script

    • Convert the C source file to its Abstract Syntax Tree by executing:
      bash
      python3 c_2_ast.py --input <path_to_c_file>
  4. Do not modify the source code

    • This Skill is strictly read-only.
    • Do not rewrite, reformat, optimize, or otherwise alter the C code.
  5. Return the AST output verbatim

    • The script prints the AST directly to standard output.
    • Return the output exactly as produced.
    • Do not summarize, paraphrase, or restructure the AST.
    • Preserve indentation, hierarchy, and node ordering.
  6. If parsing fails

    • Report the exact error message produced by the script.
    • Suggest likely causes, such as:
      • Missing or unsupported header files
      • Unsupported C extensions (e.g., compiler-specific syntax)
      • Invalid or incomplete C syntax

Output Format

The output is a tree-structured textual AST, for example:


FileAST:
FuncDef:
Decl: main
FuncDecl:
TypeDecl:
IdentifierType: ['int']
Compound:
FuncCall:
ID: puts
ExprList:
Constant: string, "Hello"
Return:
Constant: int, 0

This output represents the syntactic structure of the C program and can be consumed by downstream tools.


Additional Resources

For deeper understanding of:

  • AST node types
  • pycparser internal representation
  • Meaning of specific syntax tree nodes
  • Limitations of the C grammar supported

see the accompanying reference document:

➡️ reference.md

Only read this file when more detailed or theoretical information is required.
For standard AST extraction tasks, this Skill file alone is sufficient.


Notes and Limitations

  • The AST follows standard C syntax (C89/C99 subset).
  • Some compiler-specific extensions (e.g., GCC attributes) may not be supported.
  • Header files are handled using a minimal fake libc environment.
  • Macro-heavy or highly platform-specific code may require preprocessing.

Examples

Example 1: Simple AST extraction

User request:

Convert this C file to an AST.

Action:

bash
python3 c_2_AST.py --input example.c

Result:

  • The AST is printed directly.

Example 2: Security analysis preparation

User request:

I want to analyze this C program for vulnerabilities.

Action:

  • First, extract the AST using this Skill.
  • Then, pass the AST to a vulnerability analysis or pattern-matching process.

Best Practices

  • Use this Skill before any deep code analysis.
  • Treat the AST as an intermediate representation.
  • Combine with CFG/DFG or semantic analysis for advanced tasks.

End of Skill.

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 C To Ast AI skill do?

Parse C source code into an Abstract Syntax Tree (AST). Use when analyzing C programs, understanding code structure, performing static analysis, or preparing code for further program analysis (e.g., CFG, DFG, vulnerability detection).

Why use C To Ast on TypingMind?

Because you install it once and use it with any model. C To Ast 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 C To Ast in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Narwhal-Lab/MagicSkills/tree/main/skill_template/c_2_ast. 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 C To Ast?

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 C To Ast?

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

Is the C To Ast AI skill free?

Yes. It is published on GitHub by Narwhal-Lab 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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