Agent skill

Claude Md Enhancer

by alirezarezvani in alirezarezvani/claude-code-skill-factory

Analyzes, generates, and enhances CLAUDE.md files for any project type using best practices, modular architecture support, and tech stack customization.

MITAuto-check passedAgent Workflows

Install Claude Md Enhancer

skills CLI
$ npx skills add alirezarezvani/claude-code-skill-factory --skill claude-md-enhancer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install alirezarezvani/claude-code-skill-factory claude-md-enhancer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/alirezarezvani/claude-code-skill-factory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/generated-skills/claude-md-enhancer .claude/skills/claude-md-enhancer && rm -rf skills-src

Use ~/.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/

Facts

Skill name
claude-md-enhancer
GitHub stars
880
Token cost
~4.1k tokens
SKILL.md length
1,338 words
Files
17
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

Analyzes, generates, and enhances CLAUDE.md files for any project type using best practices, modular architecture support, and tech stack customization.

  • Works in 7 steps: Claude checks if CLAUDE.md exists (it… → Claude explores your repository using… → Claude analyzes: project type, tech… → …
  • Setting up new projects
  • SKILL.md covers Capabilities, Input Requirements, Output Formats and How to Use, plus 4 more sections
  • Runs Python scripts from its folder

What it does

Claude Md Enhancer is an agent skill from alirezarezvani/claude-code-skill-factory. Analyzes, generates, and enhances CLAUDE.md files for any project type using best practices, modular architecture support, and tech stack customization. Use when setting up new projects, improving existing CLAUDE.md files, or establishing AI-assisted development standards.

Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files (for example `HOW_TO_USE.md`, `README.md` and `analyzer.py`).

It sits in Agent Workflows, covering Agent instruction files. It works with TypeScript. The repository describes itself as: Claude Code Skill Factory — A powerful open-source toolkit for building and deploying production-ready Claude Skills, Code Agents, custom Slash Commands, and LLM Prompts at… The licence is MIT.

When your agent uses it

  • Setting up new projects
  • Improving existing CLAUDE.md files
  • Establishing AI-assisted development standards

Example prompts

  • “/claude-md-enhancer”

Requirements

  • Python 3
  • Node.js
  • Docker

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Claude checks if CLAUDE.md exists (it doesn't)
  2. Claude explores your repository using built-in commands
  3. Claude analyzes: project type, tech stack, team size, workflows
  4. Claude shows discoveries and asks for confirmation
  5. You confirm the settings
  6. Claude creates customized CLAUDE.md file(s)
  7. Claude enhances with best practices

What it can do on your machine

Read from SKILL.md and the folder at commit ba18b31. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships script files (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.claude.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Claude Md Enhancer loads about 4.1k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 1,338 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~4.1k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from alirezarezvani/claude-code-skill-factory at commit ba18b31, republished under its MIT licence (© alirezarezvani). 1,338 words, ~4,103 tokens.

Download SKILL.mdSave it as .claude/skills/claude-md-enhancer/SKILL.md (or your agent's skills folder). This skill also uses 16 other files; get the full folder from GitHub.
name
claude-md-enhancer
description
Analyzes, generates, and enhances CLAUDE.md files for any project type using best practices, modular architecture support, and tech stack customization. Use when setting up new projects, improving existing CLAUDE.md files, or establishing AI-assisted development standards.

CLAUDE.md File Enhancer

This skill provides comprehensive CLAUDE.md file generation and enhancement for Claude Code projects. It analyzes existing files, validates against best practices, and generates customized guidelines tailored to your project type, tech stack, and team size.

Capabilities

  • 🆕 Interactive Initialization: Intelligent workflow that explores your repository, detects project type and tech stack, asks for confirmation, then creates customized CLAUDE.md files
  • ✨ 100% Native Format Compliance: All generated files follow official Claude Code format with project structure diagrams, setup instructions, architecture sections, and file structure explanations (matching /update-claude-md slash command)
  • Analyze Existing Files: Scan and evaluate current CLAUDE.md files for structure, completeness, and quality
  • Validate Best Practices: Check against Anthropic guidelines (file length, required sections, formatting standards)
  • Generate New Files: Create complete CLAUDE.md files from scratch for new projects
  • Enhance Existing Files: Add missing sections, improve structure, and update to latest best practices
  • Modular Architecture: Support context-specific CLAUDE.md files in subdirectories (backend/, frontend/, docs/)
  • Tech Stack Customization: Tailor guidelines to specific technologies (TypeScript, Python, Go, React, Vue, etc.)
  • Team Size Adaptation: Adjust complexity based on team size (solo, small <10, large 10+)
  • Template Selection: Choose appropriate template based on project complexity and development phase

Input Requirements

For Analysis and Enhancement

Provide existing CLAUDE.md file content or file path:

json
{
  "mode": "enhance",
  "file_path": "CLAUDE.md",
  "content": "[existing CLAUDE.md content]",
  "project_context": {
    "type": "web_app",
    "tech_stack": ["typescript", "react", "node", "postgresql"],
    "team_size": "small",
    "phase": "mvp"
  }
}
For New File Generation

Provide project context:

json
{
  "mode": "create",
  "project_context": {
    "type": "api",
    "tech_stack": ["python", "fastapi", "postgresql", "docker"],
    "team_size": "medium",
    "phase": "production",
    "workflows": ["tdd", "cicd", "documentation_first"]
  },
  "modular": true,
  "subdirectories": ["backend", "database", "docs"]
}
Context Parameters
  • type: Project type (web_app, api, fullstack, cli, library, mobile, desktop)
  • tech_stack: Array of technologies (e.g., ["typescript", "react", "node"])
  • team_size: solo, small (<10), medium (10-50), large (50+)
  • phase: Development phase (prototype, mvp, production, enterprise)
  • workflows: Key workflows (tdd, cicd, documentation_first, agile, etc.)

Output Formats

Analysis Report
json
{
  "analysis": {
    "file_size": 450,
    "line_count": 320,
    "sections_found": [
      "Quick Navigation",
      "Core Principles",
      "Tech Stack",
      "Workflow Instructions"
    ],
    "missing_sections": [
      "Testing Requirements",
      "Error Handling Patterns"
    ],
    "issues": [
      {
        "type": "length_warning",
        "severity": "medium",
        "message": "File exceeds recommended 300 lines (320 lines)"
      },
      {
        "type": "missing_section",
        "severity": "low",
        "message": "Consider adding 'Testing Requirements' section"
      }
    ],
    "quality_score": 75,
    "recommendations": [
      "Split into modular files (backend/CLAUDE.md, frontend/CLAUDE.md)",
      "Add testing requirements section",
      "Reduce root file to <150 lines"
    ]
  }
}
Generated Content

Complete CLAUDE.md file content or specific sections to add:

markdown
# CLAUDE.md

This file provides guidance for Claude Code when working with this project.

## Quick Navigation

- [Backend Guidelines](backend/CLAUDE.md)
- [Frontend Guidelines](frontend/CLAUDE.md)
- [Database Operations](database/CLAUDE.md)
- [CI/CD Workflows](.github/CLAUDE.md)

## Core Principles

1. **Test-Driven Development**: Write tests before implementation
2. **Type Safety First**: Use TypeScript strict mode throughout
3. **Component Composition**: Favor small, reusable components
4. **Error Handling**: Always handle errors with proper logging
5. **Documentation Updates**: Keep docs in sync with code changes

[... additional sections based on template ...]

How to Use

Example 1: Initialize CLAUDE.md for New Project (Interactive)
Hey Claude—I just added the "claude-md-enhancer" skill. I don't have a CLAUDE.md file yet. Can you help me create one for this project?

What Happens:

  1. Claude checks if CLAUDE.md exists (it doesn't)
  2. Claude explores your repository using built-in commands
  3. Claude analyzes: project type, tech stack, team size, workflows
  4. Claude shows discoveries and asks for confirmation
  5. You confirm the settings
  6. Claude creates customized CLAUDE.md file(s)
  7. Claude enhances with best practices

Interactive Flow:

  • ✋ User must confirm before creation
  • 🔍 Full visibility into what was discovered
  • ⚙️ Option to adjust settings before proceeding
Example 2: Analyze Existing CLAUDE.md
Hey Claude—I just added the "claude-md-enhancer" skill. Can you analyze my current CLAUDE.md file and tell me what's missing or could be improved?
Example 2: Generate New CLAUDE.md for TypeScript Project
Hey Claude—I just added the "claude-md-enhancer" skill. Can you create a CLAUDE.md file for my TypeScript React project with a team of 5 developers? We use PostgreSQL, Docker, and follow TDD practices.
Example 3: Enhance Existing File
Hey Claude—I just added the "claude-md-enhancer" skill. Can you enhance my existing CLAUDE.md by adding missing sections and improving the structure? Here's my current file: [paste content]
Example 4: Generate Modular Architecture
Hey Claude—I just added the "claude-md-enhancer" skill. Can you create a modular CLAUDE.md setup for my full-stack project? I need separate files for backend (Python/FastAPI), frontend (React), and database (PostgreSQL).

Initialization Workflow (New Projects)

When CLAUDE.md doesn't exist in your project, this skill provides an intelligent initialization workflow:

Workflow Steps

Step 1: Detection

  • Skill checks if CLAUDE.md exists in project root
  • If not found, initialization workflow begins

Step 2: Repository Exploration

  • Uses Claude Code's built-in explore command
  • Analyzes project structure, files, and directories
  • Examines configuration files (package.json, requirements.txt, go.mod, etc.)
  • Reviews existing documentation

Step 3: Intelligent Analysis

  • Project Type Detection: web_app, api, fullstack, cli, library, mobile, desktop
  • Tech Stack Detection: TypeScript, Python, React, FastAPI, PostgreSQL, Docker, etc.
  • Team Size Estimation: Based on project complexity (solo, small, medium, large)
  • Development Phase: prototype, mvp, production, enterprise
  • Workflow Detection: TDD, CI/CD, documentation-first, agile
  • Structure Recommendation: Single file vs. modular architecture

Step 4: User Confirmation ✋

  • Displays all discoveries in clear format
  • Shows recommended CLAUDE.md structure
  • Asks user to confirm or adjust settings
  • User must explicitly approve before proceeding

Step 5: File Creation

  • Generates customized CLAUDE.md based on confirmed settings
  • Creates modular files if recommended (backend/, frontend/, etc.)
  • Applies tech-specific best practices

Step 6: Enhancement

  • Validates generated content
  • Adds quality improvements
  • Ensures completeness

Step 7: Summary

  • Shows what files were created
  • Provides next steps
  • Ready for immediate use
Interactive Example
User: "I need a CLAUDE.md for this project"

Claude: "I'll explore your repository first to understand the project.
        [Explores using built-in commands]

        Based on my exploration, here's what I discovered:

        Project Type: Full-Stack Application
        Tech Stack: TypeScript, React, Node.js, PostgreSQL, Docker
        Team Size: Small (2-9 developers)
        Development Phase: MVP
        Workflows: TDD, CI/CD

        Recommended Structure: Modular architecture
        - Root CLAUDE.md (navigation hub)
        - backend/CLAUDE.md (API guidelines)
        - frontend/CLAUDE.md (React guidelines)

        Would you like me to create these files?"

User: "Yes, please proceed"

Claude: "Creating customized CLAUDE.md files...
        ✅ Created CLAUDE.md (100 lines)
        ✅ Created backend/CLAUDE.md (150 lines)
        ✅ Created frontend/CLAUDE.md (175 lines)

        Your project is ready for AI-assisted development!"

Scripts

workflow.py

Manages the interactive initialization workflow for new projects.

Key Functions:

  • check_claude_md_exists() - Detect if CLAUDE.md exists
  • generate_exploration_prompt() - Guide Claude to explore repository
  • analyze_discoveries() - Analyze exploration results
  • generate_confirmation_prompt() - Create user confirmation prompt
  • get_workflow_steps() - Get complete workflow steps
analyzer.py

Analyzes existing CLAUDE.md files to identify structure, sections, and quality issues.

Key Functions:

  • analyze_file() - Parse and analyze CLAUDE.md structure
  • detect_sections() - Identify present and missing sections
  • calculate_quality_score() - Score file quality (0-100)
  • generate_recommendations() - Provide actionable improvement suggestions
validator.py

Validates CLAUDE.md files against best practices and Anthropic guidelines.

Key Functions:

  • validate_length() - Check file length (warn if >300 lines)
  • validate_structure() - Verify required sections present
  • validate_formatting() - Check markdown formatting quality
  • validate_completeness() - Ensure critical information included
generator.py

Generates new CLAUDE.md content or missing sections based on templates.

Key Functions:

  • generate_root_file() - Create main CLAUDE.md orchestrator
  • generate_context_file() - Create context-specific files (backend, frontend, etc.)
  • generate_section() - Generate individual sections (tech stack, workflows, etc.)
  • merge_with_existing() - Add new sections to existing files
template_selector.py

Selects appropriate template based on project context.

Key Functions:

  • select_template() - Choose template based on project type and team size
  • customize_template() - Adapt template to tech stack
  • determine_complexity() - Calculate appropriate detail level
  • recommend_modular_structure() - Suggest subdirectory organization

Best Practices

Critical Validation Rule ⚠️

"Always validate your output against official native examples before declaring complete."

Before finalizing any CLAUDE.md generation:

  1. Compare output against /update-claude-md slash command format
  2. Check official Claude Code documentation for required sections
  3. Verify all native format sections are present (Overview, Project Structure, File Structure, Setup & Installation, Architecture, etc.)
  4. Cross-check against reference examples in examples/ folder
Show full SKILL.md (519 more words)Show less
For New Projects
  1. Start with minimal template (50-100 lines) and grow as needed
  2. Use modular architecture for projects with >3 major components
  3. Include tech stack reference immediately
  4. Add workflow instructions before team grows beyond 5 people
For Enhancement
  1. Analyze before modifying - understand current structure first
  2. Preserve custom content - only enhance, don't replace
  3. Validate after changes - ensure improvements don't break existing patterns
  4. Test with Claude Code - verify guidelines work as intended
General Guidelines
  1. Keep root file concise - Max 150 lines, use as navigation hub
  2. Use context-specific files - backend/CLAUDE.md, frontend/CLAUDE.md, etc.
  3. Avoid duplication - Each guideline should appear once
  4. Link to external docs - Don't copy official documentation
  5. Update regularly - Review guidelines quarterly or when stack changes

Limitations

Technical Constraints
  • Requires valid project context for accurate template selection
  • Tech stack detection is based on keywords, may need manual refinement
  • Modular file generation assumes standard directory structure
Scope Boundaries
  • Focuses on CLAUDE.md structure, not project-specific business logic
  • Best practice recommendations are general, may need industry-specific customization
  • Validation is guideline-based, not enforcement (no automated fixes without approval)
When NOT to Use
  • For non-Claude AI tools (this is Claude Code specific)
  • For projects that don't use Claude Code or similar AI assistants
  • When you need highly specialized domain guidelines (legal, medical compliance)

Template Categories

By Size
  • Minimal (50 lines) - Solo developers, prototypes, hackathons
  • Core (100-150 lines) - Small teams, MVPs, standard projects
  • Detailed (200-300 lines) - Large teams, production systems, enterprise
By Project Type
  • Web App - Frontend-focused (React, Vue, Angular)
  • API - Backend services (REST, GraphQL, microservices)
  • Full-Stack - Integrated frontend + backend
  • CLI - Command-line tools and utilities
  • Library - Reusable packages and frameworks
  • Mobile - React Native, Flutter, native iOS/Android
By Tech Stack
  • TypeScript/Node - Modern JavaScript ecosystem
  • Python - Django, FastAPI, Flask
  • Go - Gin, Echo, native services
  • Java/Kotlin - Spring Boot, enterprise Java
  • Ruby - Rails, Sinatra

Quality Metrics

File Quality Score (0-100)

Calculated based on:

  • Length appropriateness (25 points) - Not too short or long
  • Section completeness (25 points) - Required sections present
  • Formatting quality (20 points) - Proper markdown structure
  • Content specificity (15 points) - Tailored to project, not generic
  • Modular organization (15 points) - Uses subdirectory files when appropriate
Recommendations Priority
  • Critical - Missing required sections, file too long (>400 lines)
  • High - Missing important sections, formatting issues
  • Medium - Could add optional sections, minor improvements
  • Low - Nice-to-have enhancements, stylistic suggestions

Advanced Features

Modular Architecture Support

Automatically generates context-specific files:

project-root/
├── CLAUDE.md                 # Root orchestrator (100-150 lines)
├── backend/
│   └── CLAUDE.md            # Backend-specific (150-200 lines)
├── frontend/
│   └── CLAUDE.md            # Frontend-specific (150-200 lines)
├── database/
│   └── CLAUDE.md            # Database operations (100-150 lines)
└── .github/
    └── CLAUDE.md            # CI/CD workflows (100-150 lines)
Tech Stack Detection

Automatically detects technologies from:

  • package.json (Node.js/TypeScript)
  • requirements.txt or pyproject.toml (Python)
  • go.mod (Go)
  • Cargo.toml (Rust)
  • pom.xml or build.gradle (Java)
Team Size Adaptation

Adjusts detail level:

  • Solo: Minimal guidelines, focus on efficiency
  • Small (<10): Core guidelines, workflow basics
  • Medium (10-50): Detailed guidelines, team coordination
  • Large (50+): Comprehensive guidelines, process enforcement

References

  • Anthropic Claude Code Docs: https://docs.claude.com/en/docs/claude-code
  • CLAUDE.md Best Practices: Based on community patterns and Anthropic guidance
  • Example CLAUDE.md Files: See examples/ folder for 6 reference implementations covering different project types and team sizes

Version

Version: 1.0.0 Last Updated: November 2025 Compatible: Claude Code 2.0+, Claude Apps, Claude API

Remember: The goal is to make Claude more efficient and context-aware, not to create bureaucracy. Start simple, iterate based on real usage, and automate quality checks where possible.

© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 16 other files in generated-skills/claude-md-enhancer of alirezarezvani/claude-code-skill-factory.

  • SKILL.md
  • HOW_TO_USE.md
  • README.md
  • analyzer.py
  • examples/README.md
  • examples/core-small-team-CLAUDE.md
  • examples/minimal-solo-CLAUDE.md
  • examples/modular-backend-CLAUDE.md
  • examples/modular-frontend-CLAUDE.md
  • examples/modular-root-CLAUDE.md
  • examples/python-api-CLAUDE.md
  • expected_output.json
  • generator.py
  • sample_input.json
  • template_selector.py
  • validator.py
  • workflow.py

Open the folder on GitHubat commit ba18b31

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in alirezarezvani/claude-code-skill-factory, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Claude Md Enhancer 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.

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Works with

Categories

Questions about Claude Md Enhancer

What does Claude Md Enhancer do?

Analyzes, generates, and enhances CLAUDE.md files for any project type using best practices, modular architecture support, and tech stack customization. Claude Md Enhancer is an agent skill from alirezarezvani/claude-code-skill-factory.md files for any project type using best practices, modular architecture support, and tech stack customization.

When should I use Claude Md Enhancer?

Claude Md Enhancer fits situations like: setting up new projects; improving existing CLAUDE.md files; establishing AI-assisted development standards.

How do I install Claude Md Enhancer in Claude Code?

Run `npx skills add alirezarezvani/claude-code-skill-factory --skill claude-md-enhancer -a claude-code`. Or copy the skill folder (generated-skills/claude-md-enhancer in alirezarezvani/claude-code-skill-factory) into .claude/skills/claude-md-enhancer in your project. Claude Code loads it when a task matches its description.

How do I install Claude Md Enhancer in Codex?

Run `npx skills add alirezarezvani/claude-code-skill-factory --skill claude-md-enhancer -a codex`. Or copy the skill folder (generated-skills/claude-md-enhancer in alirezarezvani/claude-code-skill-factory) into .agents/skills/claude-md-enhancer in your project. Codex loads it when a task matches its description.

Can I use Claude Md Enhancer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-code-skill-factory --skill claude-md-enhancer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/claude-md-enhancer, .gemini/skills/claude-md-enhancer, .github/skills/claude-md-enhancer and .opencode/skills/claude-md-enhancer in your project.

What does Claude Md Enhancer need to run?

Going by SKILL.md and its folder, Claude Md Enhancer needs Python for the scripts in its folder. Our summary lists: Python 3; Node.js; Docker.

Does Claude Md Enhancer access the network?

SKILL.md names 1 domain. As links in the text: docs.claude.com. This is read from the text; nothing was executed.

Is Claude Md Enhancer safe to install?

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.

What licence does Claude Md Enhancer use?

Claude Md Enhancer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Claude Md Enhancer use?

About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Claude Md Enhancer?

Skills that share tags, products or a category with Claude Md Enhancer: Clawmem (yoloshii/ClawMem, 210 stars), Review Agents Md (dominik1001/caldav-mcp, 103 stars), Init Rules (lifedever/claude-rules, 193 stars) and Bringup (jenissimo/bottleship, 134 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Claude Md Enhancer?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-code-skill-factory, which has 880 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on November 12, 2025.

Source: alirezarezvani/claude-code-skill-factory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.