c4-code▌
sickn33/antigravity-awesome-skills · updated Apr 8, 2026
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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.
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 on Cursor
AI-first code editor with Composer
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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches c4-code from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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
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.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★33 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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