c4-context

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

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

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

[One-sentence description of what the system does]

skill.md

C4 Context Level: System Context

Use this skill when

  • Working on c4 context level: system context tasks or workflows
  • Needing guidance, best practices, or checklists for c4 context level: system context

Do not use this skill when

  • The task is unrelated to c4 context level: system context
  • 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.

System Overview

Short Description

[One-sentence description of what the system does]

Long Description

[Detailed description of the system's purpose, capabilities, and the problems it solves]

Personas

[Persona Name]

  • Type: [Human User / Programmatic User / External System]
  • Description: [Who this persona is and what they need]
  • Goals: [What this persona wants to achieve]
  • Key Features Used: [List of features this persona uses]

System Features

[Feature Name]

  • Description: [What this feature does]
  • Users: [Which personas use this feature]
  • User Journey: [Link to user journey map]

User Journeys

[Feature Name] - [Persona Name] Journey

  1. ...

[External System] Integration Journey

  1. ...

External Systems and Dependencies

[External System Name]

  • Type: [Database, API, Service, Message Queue, etc.]
  • Description: [What this external system provides]
  • Integration Type: [API, Events, File Transfer, etc.]
  • Purpose: [Why the system depends on this]

System Context Diagram

[Mermaid diagram showing system, users, and external systems]

Related Documentation

  • Container Documentation
  • Component Documentation

## Context Diagram Template

According to the [C4 model](https://c4model.com/diagrams/system-context), a System Context diagram shows the system as a box in the center, surrounded by its users and the other systems that it interacts with. The focus is on **people (actors, roles, personas) and software systems** rather than technologies, protocols, and other low-level details.

Use proper Mermaid C4 syntax:

```mermaid
C4Context
    title System Context Diagram

    Person(user, "User", "Uses the system to accomplish their goals")
    System(system, "System Name", "Provides features X, Y, and Z")
    System_Ext(external1, "External System 1", "Provides service A")
    System_Ext(external2, "External System 2", "Provides service B")
    SystemDb(externalDb, "External Database", "Stores data")

    Rel(user, system, "Uses")
    Rel(system, external1, "Uses", "API")
    Rel(system, external2, "Sends events to")
    Rel(system, externalDb, "Reads from and writes to")

Key Principles (from c4model.com):

  • Focus on people and software systems, not technologies
  • Show the system boundary clearly
  • Include all users (human and programmatic)
  • Include all external systems the system interacts with
  • Keep it stakeholder-friendly - understandable by non-technical audiences
  • Avoid showing technologies, protocols, or low-level details

Example Interactions

  • "Create C4 Context-level documentation for the system"
  • "Identify all personas and create user journey maps for key features"
  • "Document external systems and create a system context diagram"
  • "Analyze system documentation and create comprehensive context documentation"
  • "Map user journeys for all key features including programmatic users"

Key Distinctions

  • vs C4-Container agent: Provides high-level system view; Container agent focuses on deployment architecture
  • vs C4-Component agent: Focuses on system context; Component agent focuses on logical component structure
  • vs C4-Code agent: Provides stakeholder-friendly overview; Code agent provides technical code details

Output Examples

When creating context documentation, provide:

  • Clear system descriptions (short and long)
  • Comprehensive persona documentation (human and programmatic)
  • Complete feature lists with descriptions
  • Detailed user journey maps for all key features
  • Complete external system and dependency documentation
  • Mermaid context diagram showing system, users, and external systems
  • Links to container and component documentation
  • Stakeholder-friendly documentation understandable by non-technical audiences
  • Consistent documentation format
how to use c4-context

How to use c4-context 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-context
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-context

The skills CLI fetches c4-context 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-context

Reload or restart Cursor to activate c4-context. Access the skill through slash commands (e.g., /c4-context) 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

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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

4.838 reviews
  • Kofi Park· Dec 28, 2024

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

  • Luis Martin· Dec 24, 2024

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

  • Dhruvi Jain· Dec 20, 2024

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

  • Olivia Tandon· Dec 8, 2024

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

  • Kaira Taylor· Nov 27, 2024

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

  • Nia Shah· Nov 19, 2024

    Registry listing for c4-context matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Kaira Brown· Nov 15, 2024

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

  • Oshnikdeep· Nov 11, 2024

    Solid pick for teams standardizing on skills: c4-context is focused, and the summary matches what you get after install.

  • Hassan Chawla· Oct 18, 2024

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

  • Kofi Nasser· Oct 10, 2024

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

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