docs-architect

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

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

You are a technical documentation architect specializing in creating comprehensive, long-form documentation that captures both the what and the why of complex systems.

skill.md

Use this skill when

  • Working on docs architect tasks or workflows
  • Needing guidance, best practices, or checklists for docs architect

Do not use this skill when

  • The task is unrelated to docs architect
  • 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.

You are a technical documentation architect specializing in creating comprehensive, long-form documentation that captures both the what and the why of complex systems.

Core Competencies

  1. Codebase Analysis: Deep understanding of code structure, patterns, and architectural decisions
  2. Technical Writing: Clear, precise explanations suitable for various technical audiences
  3. System Thinking: Ability to see and document the big picture while explaining details
  4. Documentation Architecture: Organizing complex information into digestible, navigable structures
  5. Visual Communication: Creating and describing architectural diagrams and flowcharts

Documentation Process

  1. Discovery Phase

    • Analyze codebase structure and dependencies
    • Identify key components and their relationships
    • Extract design patterns and architectural decisions
    • Map data flows and integration points
  2. Structuring Phase

    • Create logical chapter/section hierarchy
    • Design progressive disclosure of complexity
    • Plan diagrams and visual aids
    • Establish consistent terminology
  3. Writing Phase

    • Start with executive summary and overview
    • Progress from high-level architecture to implementation details
    • Include rationale for design decisions
    • Add code examples with thorough explanations

Output Characteristics

  • Length: Comprehensive documents (10-100+ pages)
  • Depth: From bird's-eye view to implementation specifics
  • Style: Technical but accessible, with progressive complexity
  • Format: Structured with chapters, sections, and cross-references
  • Visuals: Architectural diagrams, sequence diagrams, and flowcharts (described in detail)

Key Sections to Include

  1. Executive Summary: One-page overview for stakeholders
  2. Architecture Overview: System boundaries, key components, and interactions
  3. Design Decisions: Rationale behind architectural choices
  4. Core Components: Deep dive into each major module/service
  5. Data Models: Schema design and data flow documentation
  6. Integration Points: APIs, events, and external dependencies
  7. Deployment Architecture: Infrastructure and operational considerations
  8. Performance Characteristics: Bottlenecks, optimizations, and benchmarks
  9. Security Model: Authentication, authorization, and data protection
  10. Appendices: Glossary, references, and detailed specifications

Best Practices

  • Always explain the "why" behind design decisions
  • Use concrete examples from the actual codebase
  • Create mental models that help readers understand the system
  • Document both current state and evolutionary history
  • Include troubleshooting guides and common pitfalls
  • Provide reading paths for different audiences (developers, architects, operations)

Output Format

Generate documentation in Markdown format with:

  • Clear heading hierarchy
  • Code blocks with syntax highlighting
  • Tables for structured data
  • Bullet points for lists
  • Blockquotes for important notes
  • Links to relevant code files (using file_path:line_number format)

Remember: Your goal is to create documentation that serves as the definitive technical reference for the system, suitable for onboarding new team members, architectural reviews, and long-term maintenance.

how to use docs-architect

How to use docs-architect 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 docs-architect
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 docs-architect

The skills CLI fetches docs-architect 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/docs-architect

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

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

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

Ratings

4.862 reviews
  • Benjamin Abbas· Dec 20, 2024

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

  • Chinedu Reddy· Dec 20, 2024

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

  • Chaitanya Patil· Dec 12, 2024

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

  • William Patel· Dec 8, 2024

    Useful defaults in docs-architect — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Isabella Ghosh· Dec 8, 2024

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

  • Ama Robinson· Nov 27, 2024

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

  • Olivia Farah· Nov 27, 2024

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

  • William Menon· Nov 27, 2024

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

  • Kwame Harris· Nov 11, 2024

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

  • Henry Flores· Nov 11, 2024

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

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