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C4 Code

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rmyndharis
c4-code

Expert C4 Code-level documentation specialist. Analyzes code directories to create comprehensive C4 code-level documentation including function signatures, arguments, dependencies, and code structure. Use when documenting code at the lowest C4 level for individual directories and code modules.

Overview

Publisherrmyndharis
Repositoryantigravity-skills
Skill namec4-code
Stars
1.6K
Forks
264
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the C4 Code 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/rmyndharis/antigravity-skills.git /tmp/antigravity-skills
mkdir -p .claude/skills
cp -r /tmp/antigravity-skills/skills/c4-code .claude/skills/c4-code
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable C4 Code 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 C4 Code 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 C4 Code 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.

C4 Code Level: [Directory Name]

Use this skill when

  • Working on c4 code level: [directory name] tasks or workflows
  • Needing guidance, best practices, or checklists for c4 code level: [directory name]

Do not use this skill when

  • The task is unrelated to c4 code level: [directory name]
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.

Overview

  • Name: [Descriptive name for this code directory]
  • Description: [Short description of what this code does]
  • Location: [Link to actual directory path]
  • Language: [Primary programming language(s)]
  • Purpose: [What this code accomplishes]

Code Elements

Functions/Methods

  • functionName(param1: Type, param2: Type): ReturnType
    • Description: [What this function does]
    • Location: [file path:line number]
    • Dependencies: [what this function depends on]

Classes/Modules

  • ClassName
    • Description: [What this class does]
    • Location: [file path]
    • Methods: [list of methods]
    • Dependencies: [what this class depends on]

Dependencies

Internal Dependencies

  • [List of internal code dependencies]

External Dependencies

  • [List of external libraries, frameworks, services]

Relationships

Optional Mermaid diagrams for complex code structures. Choose the diagram type based on the programming paradigm. Code diagrams show the internal structure of a single component.

Object-Oriented Code (Classes, Interfaces)

Use classDiagram for OOP code with classes, interfaces, and inheritance:

mermaid
---
title: Code Diagram for [Component Name]
---
classDiagram
    namespace ComponentName {
        class Class1 {
            +attribute1 Type
            +method1() ReturnType
        }
        class Class2 {
            -privateAttr Type
            +publicMethod() void
        }
        class Interface1 {
            <<interface>>
            +requiredMethod() ReturnType
        }
    }

    Class1 ..|> Interface1 : implements
    Class1 --> Class2 : uses

### Functional/Procedural Code (Modules, Functions)

For functional or procedural code, you have two options:

**Option A: Module Structure Diagram** - Use `classDiagram` to show modules and their exported functions:

```mermaid
---
title: Module Structure for [Component Name]
---
classDiagram
    namespace DataProcessing {
        class validators {
            <<module>>
            +validateInput(data) Result~Data, Error~
            +validateSchema(schema, data) bool
            +sanitize(input) string
        }
        class transformers {
            <<module>>
            +parseJSON(raw) Record
            +normalize(data) NormalizedData
            +aggregate(items) Summary
        }
        class io {
            <<module>>
            +readFile(path) string
            +writeFile(path, content) void
        }
    }

    transformers --> validators : uses
    transformers --> io : reads from
```

**Option B: Data Flow Diagram** - Use `flowchart` to show function pipelines and data transformations:

```mermaid
---
title: Data Pipeline for [Component Name]
---
flowchart LR
    subgraph Input
        A[readFile]
    end
    subgraph Transform
        B[parseJSON]
        C[validateInput]
        D[normalize]
        E[aggregate]
    end
    subgraph Output
        F[writeFile]
    end

    A -->|raw string| B
    B -->|parsed data| C
    C -->|valid data| D
    D -->|normalized| E
    E -->|summary| F
```

**Option C: Function Dependency Graph** - Use `flowchart` to show which functions call which:

```mermaid
---
title: Function Dependencies for [Component Name]
---
flowchart TB
    subgraph Public API
        processData[processData]
        exportReport[exportReport]
    end
    subgraph Internal Functions
        validate[validate]
        transform[transform]
        format[format]
        cache[memoize]
    end
    subgraph Pure Utilities
        compose[compose]
        pipe[pipe]
        curry[curry]
    end

    processData --> validate
    processData --> transform
    processData --> cache
    transform --> compose
    transform --> pipe
    exportReport --> format
    exportReport --> processData
```

### Choosing the Right Diagram

| Code Style                       | Primary Diagram                  | When to Use                                             |
| -------------------------------- | -------------------------------- | ------------------------------------------------------- |
| OOP (classes, interfaces)        | `classDiagram`                   | Show inheritance, composition, interface implementation |
| FP (pure functions, pipelines)   | `flowchart`                      | Show data transformations and function composition      |
| FP (modules with exports)        | `classDiagram` with `<<module>>` | Show module structure and dependencies                  |
| Procedural (structs + functions) | `classDiagram`                   | Show data structures and associated functions           |
| Mixed                            | Combination                      | Use multiple diagrams if needed                         |

**Note**: According to the [C4 model](https://c4model.com/diagrams), code diagrams are typically only created when needed for complex components. Most teams find system context and container diagrams sufficient. Choose the diagram type that best communicates the code structure regardless of paradigm.

## Notes

[Any additional context or important information]

```

## Example Interactions

### Object-Oriented Codebases
- "Analyze the src/api directory and create C4 Code-level documentation"
- "Document the service layer code with complete class hierarchies and dependencies"
- "Create C4 Code documentation showing interface implementations in the repository layer"

### Functional/Procedural Codebases
- "Document all functions in the authentication module with their signatures and data flow"
- "Create a data pipeline diagram for the ETL transformers in src/pipeline"
- "Analyze the utils directory and document all pure functions and their composition patterns"
- "Document the Rust modules in src/handlers showing function dependencies"
- "Create C4 Code documentation for the Elixir GenServer modules"

### Mixed Paradigm
- "Document the Go handlers package showing structs and their associated functions"
- "Analyze the TypeScript codebase that mixes classes with functional utilities"

## Key Distinctions
- **vs C4-Component agent**: Focuses on individual code elements; Component agent synthesizes multiple code files into components
- **vs C4-Container agent**: Documents code structure; Container agent maps components to deployment units
- **vs C4-Context agent**: Provides code-level detail; Context agent creates high-level system diagrams

## Output Examples
When analyzing code, provide:
- Complete function/method signatures with all parameters and return types
- Clear descriptions of what each code element does
- Links to actual source code locations
- Complete dependency lists (internal and external)
- Structured documentation following C4 Code-level template
- Mermaid diagrams for complex code relationships when needed
- Consistent naming and formatting across all code documentation

```

Frequently asked questions

What does the C4 Code AI skill do?

Expert C4 Code-level documentation specialist. Analyzes code directories to create comprehensive C4 code-level documentation including function signatures, arguments, dependencies, and code structure. Use when documenting code at the lowest C4 level for individual directories and code modules.

Why use C4 Code on TypingMind?

Because you install it once and use it with any model. C4 Code 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 C4 Code in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rmyndharis/antigravity-skills/tree/main/skills/c4-code. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use C4 Code?

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 C4 Code?

As many as you like. As long as a model supports skills, you can use C4 Code with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the C4 Code AI skill free?

Yes. It is published on GitHub by rmyndharis 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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