c4-code

sickn33/antigravity-awesome-skills · updated Apr 8, 2026

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$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill c4-code
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summary

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.

skill.md

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

```
how to use c4-code

How to use c4-code on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add c4-code
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill c4-code

The skills CLI fetches c4-code from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/c4-code

Reload or restart Cursor to activate c4-code. Access the skill through slash commands (e.g., /c4-code) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.633 reviews
  • Ishan Smith· Dec 24, 2024

    c4-code reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ishan Johnson· Dec 24, 2024

    c4-code is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Shikha Mishra· Dec 12, 2024

    c4-code has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Li Gonzalez· Nov 15, 2024

    c4-code has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ishan Malhotra· Nov 15, 2024

    Keeps context tight: c4-code is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Rahul Santra· Nov 3, 2024

    c4-code reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Pratham Ware· Oct 22, 2024

    We added c4-code from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Chen Mehta· Oct 6, 2024

    c4-code fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Naina Farah· Oct 6, 2024

    I recommend c4-code for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Diya Chawla· Sep 13, 2024

    c4-code reduced setup friction for our internal harness; good balance of opinion and flexibility.

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