Diagram Design
cathrynlavery/diagram-design
Creates branded diagrams, from architecture, flowchart and sequence to charts and maps, as self-contained HTML with inline SVG, with import from draw.io, Mermaid and Excalidraw.
This skill should be used when writing documentation for codebases, including README files, architecture documentation, code comments, and API documentation.
$ npx skills add ailabs-393/ai-labs-claude-skills --skill codebase-documenter -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ailabs-393/ai-labs-claude-skills codebase-documenter --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/skills/codebase-documenter .claude/skills/codebase-documenter && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "codebase-documenter" agent skill from https://github.com/ailabs-393/ai-labs-claude-skills/tree/main/packages/skills/codebase-documenter into .claude/skills/codebase-documenter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codebase-documenter", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ailabs-393/ai-labs-claude-skills/tree/main/packages/skills/codebase-documenterType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ailabs-393/ai-labs-claude-skills --skill codebase-documenter -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ailabs-393/ai-labs-claude-skills codebase-documenter --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/skills/codebase-documenter .agents/skills/codebase-documenter && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "codebase-documenter" agent skill from https://github.com/ailabs-393/ai-labs-claude-skills/tree/main/packages/skills/codebase-documenter into .agents/skills/codebase-documenter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codebase-documenter", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ailabs-393/ai-labs-claude-skills --skill codebase-documenter -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ailabs-393/ai-labs-claude-skills codebase-documenter --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/skills/codebase-documenter .cursor/skills/codebase-documenter && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "codebase-documenter" agent skill from https://github.com/ailabs-393/ai-labs-claude-skills/tree/main/packages/skills/codebase-documenter into .cursor/skills/codebase-documenter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codebase-documenter", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ailabs-393/ai-labs-claude-skills.git --path packages/skills/codebase-documenter--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ailabs-393/ai-labs-claude-skills --skill codebase-documenter -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ailabs-393/ai-labs-claude-skills codebase-documenter --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/skills/codebase-documenter .gemini/skills/codebase-documenter && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "codebase-documenter" agent skill from https://github.com/ailabs-393/ai-labs-claude-skills/tree/main/packages/skills/codebase-documenter into .gemini/skills/codebase-documenter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codebase-documenter", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ailabs-393/ai-labs-claude-skills codebase-documenterInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ailabs-393/ai-labs-claude-skills --skill codebase-documenter -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/skills/codebase-documenter .github/skills/codebase-documenter && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "codebase-documenter" agent skill from https://github.com/ailabs-393/ai-labs-claude-skills/tree/main/packages/skills/codebase-documenter into .github/skills/codebase-documenter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codebase-documenter", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ailabs-393/ai-labs-claude-skills --skill codebase-documenter -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ailabs-393/ai-labs-claude-skills codebase-documenter --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/skills/codebase-documenter .opencode/skills/codebase-documenter && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "codebase-documenter" agent skill from https://github.com/ailabs-393/ai-labs-claude-skills/tree/main/packages/skills/codebase-documenter into .opencode/skills/codebase-documenter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codebase-documenter", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
codebase-documenterThis skill should be used when writing documentation for codebases, including README files, architecture documentation, code comments, and API documentation.
Codebase Documenter is an agent skill from ailabs-393/ai-labs-claude-skills. This skill should be used when writing documentation for codebases, including README files, architecture documentation, code comments, and API documentation. Use this skill when users request help documenting their code, creating getting-started guides, explaining project structure, or making codebases more accessible to new developers. The skill provides templates, best practices, and structured approaches for creating clear, beginner-friendly documentation.
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files and assets (for example `assets/templates/API.template.md`, `assets/templates/ARCHITECTURE.template.md` and `assets/templates/CODE_COMMENTS.template.md`).
It sits in Development, covering Technical documentation. The repository describes itself as: This package is use to remove the hustle of finding claudeskills and shift them into any of the user project. This project become a bridge between user's usage and claude skills. The licence is MIT.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 1a12bc7. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (JavaScript), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Codebase Documenter loads about 2.9k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 121 tokens; SKILL.md has 932 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from ailabs-393/ai-labs-claude-skills at commit 1a12bc7, republished under its MIT licence (© ailabs-393). 932 words, ~2,934 tokens.
.claude/skills/codebase-documenter/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.This skill enables creating comprehensive, beginner-friendly documentation for codebases. It provides structured templates and best practices for writing READMEs, architecture guides, code comments, and API documentation that help new users quickly understand and contribute to projects.
When documenting code for new users, follow these fundamental principles:
When to create: For project root directories, major feature modules, or standalone components.
Structure to follow:
# Project Name
## What This Does
[1-2 sentence plain-English explanation]
## Quick Start
[Get users running the project in < 5 minutes]
## Project Structure
[Visual file tree with explanations]
## Key Concepts
[Core concepts users need to understand]
## Common Tasks
[Step-by-step guides for frequent operations]
## Troubleshooting
[Common issues and solutions]Best practices:
When to create: For projects with multiple modules, complex data flows, or non-obvious design decisions.
Structure to follow:
# Architecture Overview
## System Design
[High-level diagram and explanation]
## Directory Structure
[Detailed breakdown with purpose of each directory]
## Data Flow
[How data moves through the system]
## Key Design Decisions
[Why certain architectural choices were made]
## Module Dependencies
[How different parts interact]
## Extension Points
[Where and how to add new features]Best practices:
When to create: For complex logic, non-obvious algorithms, or code that requires context.
Annotation patterns:
Function/Method Documentation:
/**
* Calculates the prorated subscription cost for a partial billing period.
*
* Why this exists: Users can subscribe mid-month, so we need to charge
* them only for the days remaining in the current billing cycle.
*
* @param {number} fullPrice - The normal monthly subscription price
* @param {Date} startDate - When the user's subscription begins
* @param {Date} periodEnd - End of the current billing period
* @returns {number} The prorated amount to charge
*
* @example
* // User subscribes on Jan 15, period ends Jan 31
* calculateProratedCost(30, new Date('2024-01-15'), new Date('2024-01-31'))
* // Returns: 16.13 (17 days out of 31 days)
*/Complex Logic Documentation:
# Why this check exists: The API returns null for deleted users,
# but empty string for users who never set a name. We need to
# distinguish between these cases for the audit log.
if user_name is None:
# User was deleted - log this as a security event
log_deletion_event(user_id)
elif user_name == "":
# User never completed onboarding - safe to skip
continueBest practices:
When to create: For any HTTP endpoints, SDK methods, or public interfaces.
Structure to follow:
## Endpoint Name
### What It Does
[Plain-English explanation of the endpoint's purpose]
### Endpoint
`POST /api/v1/resource`
### Authentication
[What auth is required and how to provide it]
### Request Format
[JSON schema or example request]
### Response Format
[JSON schema or example response]
### Example Usage
[Concrete example with curl/code]
### Common Errors
[Error codes and what they mean]
### Related Endpoints
[Links to related operations]Best practices:
Before writing documentation:
Based on user request and codebase analysis:
Use the templates from assets/templates/ as starting points:
assets/templates/README.template.md - For project READMEsassets/templates/ARCHITECTURE.template.md - For architecture docsassets/templates/API.template.md - For API documentationCustomize templates based on the specific codebase:
Before finalizing documentation:
This skill includes several templates in assets/templates/ that provide starting structures:
assets/templates/For detailed documentation best practices, style guidelines, and advanced patterns, refer to:
references/documentation_guidelines.md - Comprehensive style guide and best practicesreferences/visual_aids_guide.md - How to create effective diagrams and file treesLoad these references when:
File trees help new users understand project organization:
project-root/
├── src/ # Source code
│ ├── components/ # Reusable UI components
│ ├── pages/ # Page-level components (routing)
│ ├── services/ # Business logic and API calls
│ ├── utils/ # Helper functions
│ └── types/ # TypeScript type definitions
├── public/ # Static assets (images, fonts)
├── tests/ # Test files mirroring src structure
└── package.json # Dependencies and scriptsUse numbered steps with diagrams:
User Request Flow:
1. User submits form → 2. Validation → 3. API call → 4. Database → 5. Response
[1] components/UserForm.tsx
↓ validates input
[2] services/validation.ts
↓ sends to API
[3] services/api.ts
↓ queries database
[4] Database (PostgreSQL)
↓ returns data
[5] components/UserForm.tsx (updates UI)Capture the "why" behind architectural choices:
## Why We Use Redux
**Decision:** State management with Redux instead of Context API
**Context:** Our app has 50+ components that need access to user
authentication state, shopping cart, and UI preferences.
**Reasoning:**
- Context API causes unnecessary re-renders with this many components
- Redux DevTools helps debug complex state changes
- Team has existing Redux expertise
**Trade-offs:**
- More boilerplate code
- Steeper learning curve for new developers
- Worth it for: performance, debugging, team familiarityWhen generating documentation:
Command to generate README: "Create a README file for this project that helps new developers get started"
Command to document architecture: "Document the architecture of this codebase, explaining how the different modules interact"
Command to add code comments: "Add explanatory comments to this file that help new developers understand the logic"
Command to document API: "Create API documentation for all the endpoints in this file"
© ailabs-393, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 8 other files (references, assets) in packages/skills/codebase-documenter of ailabs-393/ai-labs-claude-skills.
Open the folder on GitHubat commit 1a12bc7
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in ailabs-393/ai-labs-claude-skills, which our catalogue first saw on October 7, 2026.
Codebase Documenter next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Codebase Documenter this skillailabs-393/ai-labs-claude-skills | 454 | 1 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Diagram Designcathrynlavery/diagram-design | 45k | 1 repos | ~7.5k | Automated safety check: Pass | MIT | |
| Simple Englishmoeru-ai/airi | 50k | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Get API Docs with chubandrewyng/context-hub | 14k | 2 repos | ~775 | Automated safety check: Pass | MIT | |
| Doc SyncJetBrains/ideavim | 10k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Mailspring App ScreenshotsFoundry376/Mailspring | 18k | — | ~1.5k | Automated safety check: Pass | GPL-3.0 |
cathrynlavery/diagram-design
Creates branded diagrams, from architecture, flowchart and sequence to charts and maps, as self-contained HTML with inline SVG, with import from draw.io, Mermaid and Excalidraw.
moeru-ai/airi
Write or rewrite technical text with the rules of ASD-STE100 Simplified Technical English so it is clear, unambiguous, and free of AI slop.
andrewyng/context-hub
Fetches current documentation for third-party APIs and SDKs with the chub CLI before the agent writes code against them, instead of relying on remembered API shapes.
JetBrains/ideavim
Keeps IdeaVim documentation in sync with code changes. An agent skill from JetBrains/ideavim.
Foundry376/Mailspring
Captures screenshots of the running Mailspring dev app for docs, PRs or visual checks by launching it with a debugging port, driving the UI and clipping to an element.
Agents365-ai/drawio-skill
Creates and edits editable draw.io diagrams from descriptions, code, infrastructure files, SQL and API schemas, with sync, review, test and export tools.
ailabs-393/ai-labs-claude-skills
This skill should be used when analyzing technical debt in a codebase, documenting code quality issues, creating technical debt registers, or assessing code maintainability.
ailabs-393/ai-labs-claude-skills
This skill should be used when analyzing HTML/CSS websites for SEO optimization, fixing SEO issues, generating SEO reports, or implementing SEO best practices.
ailabs-393/ai-labs-claude-skills
This skill should be used when the user requests to create professional business documents (proposals, business plans, or budgets) from templates.
ailabs-393/ai-labs-claude-skills
Comprehensive personal finance management system for analyzing transaction data, generating insights, creating visualizations, and providing actionable financial recommendations.
ailabs-393/ai-labs-claude-skills
This skill should be used when containerizing applications with Docker, creating Dockerfiles, docker-compose configurations, or deploying containers to various platforms.
ailabs-393/ai-labs-claude-skills
Comprehensive startup idea validation and market analysis tool.
Categories
This skill should be used when writing documentation for codebases, including README files, architecture documentation, code comments, and API documentation. Codebase Documenter is an agent skill from ailabs-393/ai-labs-claude-skills. This skill should be used when writing documentation for codebases, including README files, architecture documentation, code comments, and API documentation.
Codebase Documenter fits situations like: users request help documenting their code; creating getting-started guides; explaining project structure; making codebases more accessible to new developers.
Run `npx skills add ailabs-393/ai-labs-claude-skills --skill codebase-documenter -a claude-code`. Or copy the skill folder (packages/skills/codebase-documenter in ailabs-393/ai-labs-claude-skills) into .claude/skills/codebase-documenter in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ailabs-393/ai-labs-claude-skills --skill codebase-documenter -a codex`. Or copy the skill folder (packages/skills/codebase-documenter in ailabs-393/ai-labs-claude-skills) into .agents/skills/codebase-documenter in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ailabs-393/ai-labs-claude-skills --skill codebase-documenter -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/codebase-documenter, .gemini/skills/codebase-documenter, .github/skills/codebase-documenter and .opencode/skills/codebase-documenter in your project.
Going by SKILL.md and its folder, Codebase Documenter needs JavaScript for the scripts in its folder. Our summary lists: Python 3; Node.js.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Codebase Documenter is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 9.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Codebase Documenter: Diagram Design (cathrynlavery/diagram-design, 45k stars), Simple English (moeru-ai/airi, 50k stars), Get API Docs with chub (andrewyng/context-hub, 14k stars) and Doc Sync (JetBrains/ideavim, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ailabs-393 (a GitHub user) maintains it in ailabs-393/ai-labs-claude-skills, which has 454 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on November 11, 2025.
Source: ailabs-393/ai-labs-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.