docs

buiducnhat/agent-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/buiducnhat/agent-skills --skill docs
0 commentsdiscussion
summary

Create and maintain project documentation in docs/ with a consistent, lightweight structure.

skill.md

Docs

Create and maintain project documentation in docs/ with a consistent, lightweight structure.

Outputs

Maintain these outputs:

  1. docs/SUMMARY.md — documentation entry point (always regenerated)
  2. docs/architecture/ — system design, infrastructure, component interactions, data flows, feature flows. Focus on how the system works, not file/code structure.
  3. docs/codebase/ — file organization, directory structure, entry points, key modules and their responsibilities. Focus on where things live in the code.
  4. docs/code-standard/ — coding conventions, naming rules, style guides, environment setup, custom rules and patterns the team follows. Focus on how to write code that fits in with the existing codebase, best practices, and team conventions, very important for maintaining consistency.
  5. docs/project-pdr/ — product goals, use cases, business rules, constraints, and decision rationale. Nice to have many use case/requirements files

Also keep README.md aligned with current docs links and project summary.

Workflow

Step 1: Context Scan

Scan the project to understand what needs documenting:

  1. Read existing docs if any (docs/SUMMARY.md and topic folders)
  2. Read README.md and key config files (package.json, tsconfig.json, Cargo.toml, etc.)
  3. Scan source directories to understand project structure, entry points, and major components
  4. Check git log --oneline -20 for recent changes when updating existing docs

Focus on facts: features, architecture, stack, directory structure, and workflows. Do not invent requirements or assume business logic that is not evident from the code.

Step 2: Infer Behavior

  • Infer whether the repository needs an initial documentation pass or an incremental update based on the current docs/ state.
  • If docs/ does not exist or is clearly incomplete, perform initialization behavior.
  • If docs/ already exists with the standard structure, perform update behavior.
  • State the inferred behavior briefly when relevant.

Step 3: Produce Documentation

Initialize docs when missing or incomplete

  1. Create docs/ and 4 topic folders: architecture/, codebase/, code-standard/, project-pdr/
  2. For each topic folder: a. Scan codebase for relevant information b. Generate content based on codebase scan c. Create topic-specific files based on content found in the codebase. Name each file by its content (e.g., components.md, conventions.md). Do NOT use generic names (overview.md, index.md, main.md). Split into multiple files when content covers 2+ clearly distinct sub-topics. Minimum 1 file per folder.
  3. Create docs/SUMMARY.md using the format specified in Content Requirements
  4. Update README.md with link to docs/SUMMARY.md

Populate each file with concrete, project-specific content. Avoid placeholders and generic templates.

Update docs when they already exist

  1. Detect what changed: compare current code against existing docs. Use git log --oneline and source file scanning to identify new/modified/removed components.
  2. Preserve useful existing content and section structure.
  3. Update stale or inaccurate sections in-place — do not rewrite from scratch.
  4. Add newly discovered features, components, or conventions.
  5. Remove clearly obsolete statements.
  6. Add, modify, or remove detail files as needed based on content changes.
  7. Regenerate docs/SUMMARY.md to match current files — only list files that actually exist on disk.
  8. Update README.md if documentation links changed.

Important: The goal is an incremental, surgical update — not a full rewrite.

Step 4: Sync README

Ensure README.md includes:

  • Short project overview
  • Quick start (if present in project)
  • Documentation link pointing to docs/SUMMARY.md

Step 5: Validate Quality

Before finishing, verify:

  • docs/SUMMARY.md exists and lists every detail file that actually exists on disk (no phantom entries)
  • Each topic folder has at least 1 topic-specific file
  • No generic file names (overview.md, index.md, main.md) in topic folders
  • README.md links point to docs/SUMMARY.md
  • SUMMARY.md is concise and contains file tables for all sections
  • Terminology is consistent across files
  • No contradictions between docs and code
  • Paths and component names are accurate
  • Content is concise, specific, and actionable

Content Requirements

SUMMARY.md format

Contains project overview and file tables for each documentation section.

Strictly follow the template in references/summary-template.md.

Topic file rules

  • Each file focuses on 1 specific sub-topic within its folder
  • Named by content slug: components.md, conventions.md, product-goals.md
  • Do NOT use generic names: overview.md, index.md, main.md, general.md
  • Keep files focused and concise without enforcing line-count targets

Edge Cases

  • Minimal/empty project: If the codebase has very little code, keep topic files short and factual. Do not pad content to reach arbitrary size targets. Mark sections as "TBD — to be documented as the project grows" when there is genuinely nothing to document yet. Even with 1 file per folder, name it by its content.
  • Custom files in docs/: Preserve any user-created files outside the 4 standard topic folders (e.g., docs/API.md, docs/deployment.md). List them under "Other" in SUMMARY.md. Do not move or rename them.
  • Monorepo: If the project contains multiple packages/apps, document the overall structure in architecture/components.md and note each package's purpose. Each package does not need its own full docs set — keep it proportional.

Rules

  • Keep documentation factual; do not invent requirements.
  • Prefer concise updates over verbose prose.
  • Keep docs aligned with current implementation.
  • When uncertain, mark assumptions explicitly and request confirmation.
  • Ask targeted questions when information cannot be reliably inferred (business goals, ambiguous module ownership, conflicting conventions, unclear architecture decisions).
how to use docs

How to use docs 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
2

Execute installation command

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

$npx skills add https://github.com/buiducnhat/agent-skills --skill docs

The skills CLI fetches docs from GitHub repository buiducnhat/agent-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

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

4.733 reviews
  • Yuki Li· Dec 28, 2024

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

  • Kofi Rao· Dec 16, 2024

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

  • Xiao Patel· Nov 19, 2024

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

  • Tariq Yang· Oct 10, 2024

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

  • Piyush G· Sep 25, 2024

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

  • Nia Malhotra· Sep 21, 2024

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

  • Arya Park· Sep 17, 2024

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

  • Shikha Mishra· Aug 16, 2024

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

  • Nia Liu· Aug 12, 2024

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

  • Arya Okafor· Aug 8, 2024

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

showing 1-10 of 33

1 / 4