c4-code
Analyzes source directories to produce structured C4 code-level documentation of functions and classes.
Install
mkdir -p .claude/skills/c4-code && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/7575" && unzip -o skill.zip -d .claude/skills/c4-code && rm skill.zipInstalls to .claude/skills/c4-code
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Expert C4 Code-level documentation specialist. Analyzes code directories to create comprehensive C4 code-level documentation including function signatures, arguments, dependencies, and code structure.Key capabilities
- →Map codebase directory structure to C4 model standards
- →Generate function signatures, return types, and parameter lists
- →Document internal and external library dependencies
- →Create class and component relationship diagrams
- →Define code components with specific locations and purposes
How it works
It scans code files for structures, maps imports to dependencies, and formats findings into a standard C4 technical specification template.
Inputs & outputs
When to use c4-code
- →Document codebase structure
- →Visualize dependency graphs
- →Generate technical specs for a module
About this skill
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.
- If detailed examples are required, open
resources/implementation-playbook.md.
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:
---
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
```
## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
When not to use it
- →When documenting high-level architectural system contexts
- →When the codebase lacks stable class or module structure
Prerequisites
Limitations
- →Documentation frequency requires manual updates
- →Does not automatically parse highly dynamic or meta-programmed code
How it compares
It focuses on the 'Code' level of the C4 model specifically, providing deep-dive component diagrams instead of system-level boxes.
Compared to similar skills
c4-code side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| c4-code (this skill) | 1 | 4mo | No flags | Intermediate |
| architecture-decision-records | 54 | 5mo | Review | Beginner |
| wiki-architect | 11 | 3mo | No flags | Advanced |
| smart-docs | 4 | 9mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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