docs-writer▌
tech-leads-club/agent-skills · updated May 23, 2026
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Write, review, and edit documentation files with consistent structure, tone, and technical accuracy. Use when creating docs, reviewing markdown files, writing READMEs, updating `/docs` directories, or when user says "write documentation", "review this doc", "improve this README", "create a guide", or "edit markdown". Do NOT use for code comments, inline JSDoc, or API reference generation.
| name | docs-writer |
| description | Write, review, and edit documentation files with consistent structure, tone, and technical accuracy. Use when creating docs, reviewing markdown files, writing READMEs, updating `/docs` directories, or when user says "write documentation", "review this doc", "improve this README", "create a guide", or "edit markdown". Do NOT use for code comments, inline JSDoc, or API reference generation. |
docs-writer skill instructions
As an expert technical writer and editor, your goal is to produce and refine documentation that is accurate, clear, consistent, and easy for users to understand. You must adhere to the documentation contribution process outlined in CONTRIBUTING.md.
Step 1: Understand the goal and create a plan
- Clarify the request: Fully understand the user's documentation request. Identify the core feature, command, or concept that needs work.
- Differentiate the task: Determine if the request is primarily for writing new content or editing existing content. If the request is ambiguous (e.g., "fix the docs"), ask the user for clarification.
- Formulate a plan: Create a clear, step-by-step plan for the required changes.
Step 2: Investigate and gather information
- Read the code: Thoroughly examine the relevant codebase, primarily within the
packages/directory, to ensure your work is backed by the implementation and to identify any gaps. - Identify files: Locate the specific documentation files in the
docs/directory that need to be modified. Always read the latest version of a file before you begin work. - Check for connections: Consider related documentation. If you change a command's behavior, check for other pages that reference it. If you add a new page, check if
docs/sidebar.jsonneeds to be updated. Make sure all links are up to date.
Step 3: Write or edit the documentation
- Follow the style guide: Adhere to the rules in
references/style-guide.md. Read this file to understand the project's documentation standards. - Ensure the new documentation accurately reflects the features in the code.
- Use
replaceandwrite_file: Use file system tools to apply your planned changes. For small edits,replaceis preferred. For new files or large rewrites,write_fileis more appropriate.
Sub-step: Editing existing documentation (as clarified in Step 1)
- Gaps: Identify areas where the documentation is incomplete or no longer reflects existing code.
- Tone: Ensure the tone is active and engaging, not passive.
- Clarity: Correct awkward wording, spelling, and grammar. Rephrase sentences to make them easier for users to understand.
- Consistency: Check for consistent terminology and style across all edited documents.
Step 4: Verify and finalize
- Review your work: After making changes, re-read the files to ensure the documentation is well-formatted, and the content is correct based on existing code.
- Link verification: Verify the validity of all links in the new content. Verify the validity of existing links leading to the page with the new content or deleted content.
- Offer to run npm format: Once all changes are complete, offer to run the project's formatting script to ensure consistency by proposing the command:
npm run format
How to use docs-writer 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 docs-writer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches docs-writer from GitHub repository tech-leads-club/agent-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 docs-writer. Access the skill through slash commands (e.g., /docs-writer) 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▌
Accelerate Code Development
Use skill to generate boilerplate code, refactor legacy code, and write tests faster
Example
Generate React component with TypeScript types, styled-components, and comprehensive test suite in minutes
Reduce development time by 40-60% for repetitive coding tasks
Code Review Automation
Systematically review code for bugs, security issues, and style violations
Example
Analyze pull requests for common anti-patterns, suggest performance improvements, flag security vulnerabilities
Catch 70%+ of code issues before human review, improve code quality
Debug Complex Issues
Trace errors through stack traces and identify root causes faster
Example
Analyze error logs, suggest probable causes, recommend fixes with code examples
Cut debugging time by 30-50%, especially for unfamiliar codebases
Learn New Technologies
Get explanations, examples, and best practices for unfamiliar frameworks
Example
Understand Next.js app router, learn Rust ownership, grasp Kubernetes concepts with practical examples
Accelerate learning curve by 2-3x, reduce onboarding time for new tech stacks
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill installation support
- ›Basic understanding of programming concepts and version control (Git)
- ›Code editor or IDE for testing generated code (VS Code, JetBrains, etc.)
- ›Test environment separate from production for validating skill outputs
Time Estimate
15-30 minutes to install and see first useful output
Installation Steps
- 1.Install the skill using provided installation command
- 2.Verify skill is loaded in Claude Desktop (check ~/.claude/skills directory)
- 3.Test skill with simple prompt: 'Help me review this code snippet'
- 4.Gradually increase complexity: code generation → refactoring → architecture advice
- 5.Review all generated code before committing to repository
- 6.Iterate on prompts to improve output quality and relevance
- 7.Share effective prompts with team for consistency
Common Pitfalls
- ⚠Blindly trusting generated code without testing—always run tests and manual review
- ⚠Not providing enough context about your project structure and coding standards
- ⚠Expecting perfection on first generation—iteration and refinement are normal
- ⚠Sharing proprietary code or API keys in prompts—maintain confidentiality
- ⚠Over-relying on skill for critical security or business logic code
- ⚠Skipping documentation of why AI-generated code was chosen over alternatives
Best Practices▌
✓ Do
- +Always review and test AI-generated code before merging
- +Provide clear context: language, framework, coding standards, constraints
- +Use for boilerplate, tests, docs—areas where mistakes are easily caught
- +Iterate on prompts: start broad, refine with specific requirements
- +Combine AI suggestions with human judgment and domain expertise
- +Document successful prompt patterns for team reuse
- +Keep version control so you can rollback if needed
- +Use skill for learning and exploration, not production-critical features initially
✗ Don't
- −Don't commit AI code without thorough testing and review
- −Don't expose sensitive code, credentials, or proprietary algorithms
- −Don't use for security-critical code (auth, crypto, payments) without expert review
- −Don't skip peer review process just because AI generated it
- −Don't assume code follows your team's conventions—verify
- −Don't let junior developers skip learning fundamentals by relying solely on AI
- −Don't ignore compiler warnings or test failures in generated code
💡 Pro Tips
- ★Describe desired patterns explicitly: 'Use async/await, avoid callbacks'
- ★Ask for alternatives: 'Show 3 approaches to solve this, with tradeoffs'
- ★Request explanations: 'Explain why this approach is better than X'
- ★Use skill for 70% generation + 30% manual refinement for best results
- ★Build a prompt library for common patterns (API endpoints, components, tests)
- ★Pair program with AI: describe problem → review solution → iterate → refine
When to Use This▌
✓ Use When
Use coding skills for boilerplate generation, code reviews, refactoring legacy code, writing tests, learning new frameworks, and debugging non-critical issues. Best for repetitive tasks where errors are easy to catch.
✗ Avoid When
Avoid for production security features (auth, encryption, payment processing), complex business logic requiring deep domain knowledge, performance-critical algorithms, or when learning fundamentals is more valuable than speed.
Learning Path▌
- 1Start with simple tasks: generate functions, write tests, explain code
- 2Progress to code review: analyze PRs, suggest improvements
- 3Advanced: architectural decisions, refactoring strategies, performance optimization
- 4Expert: use for exploring new paradigms, researching best practices, mentoring juniors
Integration▌
- →VS Code
- →JetBrains IDEs
- →Cursor
- →GitHub Copilot
- →Git workflows
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★40 reviews- ★★★★★Advait Sanchez· Dec 20, 2024
Registry listing for docs-writer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Valentina Sanchez· Dec 20, 2024
Solid pick for teams standardizing on skills: docs-writer is focused, and the summary matches what you get after install.
- ★★★★★Camila Srinivasan· Nov 11, 2024
docs-writer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ren Torres· Nov 11, 2024
docs-writer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Olivia Rao· Oct 2, 2024
We added docs-writer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Kaira Chen· Oct 2, 2024
docs-writer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Oshnikdeep· Sep 13, 2024
Solid pick for teams standardizing on skills: docs-writer is focused, and the summary matches what you get after install.
- ★★★★★Liam Taylor· Sep 13, 2024
Keeps context tight: docs-writer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Chinedu Martin· Sep 9, 2024
docs-writer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kaira Nasser· Sep 9, 2024
We added docs-writer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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