Generate optimized CLAUDE.md files for AI coding agents in seconds.
Stop hand-rolling CLAUDE.md. Let Forge analyze your codebase and generate a production-grade configuration file that makes Claude Code, Cursor, Windsurf, and Codex actually understand your project.
AI coding agents are only as good as the context you give them. A well-crafted CLAUDE.md is the difference between an agent that writes idiomatic code and one that fights your conventions on every change.
AnchorMD:
- Scans your codebase to detect languages, frameworks, and patterns
- Generates a complete CLAUDE.md with coding standards, commands, and anti-patterns
- Audits existing CLAUDE.md files and scores them against best practices
- Framework-aware presets for React, FastAPI, Rust, Django, Next.js, and more
pip install anchormd# Generate a CLAUDE.md for your project
anchormd generate .
# Audit an existing CLAUDE.md
anchormd audit ./CLAUDE.md
# Interactive setup
anchormd init .
# See what would change
anchormd diff .
# List available presets
anchormd presets
# List framework-specific presets
anchormd frameworksRunning anchormd generate . on a FastAPI project produces:
# CLAUDE.md — my-api
## Project Overview
my-api — TODO: Add project description.
## Current State
- **Version**: 0.1.0
- **Language**: Python
- **Files**: 47 across 2 languages
- **Lines**: 3,204
## Tech Stack
- **Language**: Python
- **Framework**: fastapi
- **Package Manager**: pip
- **Linters**: ruff
- **Test Frameworks**: pytest
- **CI/CD**: GitHub Actions
## Coding Standards
- **Naming**: snake_case
- **Type Hints**: present
- **Docstrings**: google style
- **Imports**: absolute
## Common Commands
...
## Anti-Patterns (Do NOT Do)
- Do NOT use synchronous database calls in async endpoints
- Do NOT return raw dicts — use Pydantic response models
- Do NOT use `os.path` — use `pathlib.Path` everywhere
...Add automated CLAUDE.md auditing to your CI pipeline:
# .github/workflows/claudemd-audit.yml
name: Audit CLAUDE.md
on: [pull_request]
jobs:
audit:
runs-on: ubuntu-latest
permissions:
pull-requests: write
steps:
- uses: actions/checkout@v6
- uses: Arete-Consortium/anchormd@v0.1.0
with:
fail-below: 40 # Minimum passing score (0-100)
comment: true # Post results as PR commentThe action posts a formatted comment on your PR with score, findings, and recommendations.
| Feature | Free | Pro ($8/mo) |
|---|---|---|
generate — scan and produce CLAUDE.md |
Yes | Yes |
audit — score existing CLAUDE.md |
Yes | Yes |
| 11 community presets (FastAPI, React, Rust, Django...) | Yes | Yes |
init — interactive guided setup |
- | Yes |
diff — detect drift between CLAUDE.md and codebase |
- | Yes |
| CI integration — GitHub Action auto-audit on PR | - | Yes |
| 6 premium presets (monorepo, data-science, devops...) | - | Yes |
| Team templates (shared org standards) | - | Planned |
Get Pro: Monthly ($8/mo) | Yearly ($69/yr)
All 5 Tools Bundle: Monthly ($29/mo) | Yearly ($199/yr) — includes anchormd, agent-lint, ai-spend, promptctl, context-hygiene
Activate:
export ANCHORMD_LICENSE=ANMD-XXXX-XXXX-XXXX| Preset | Description |
|---|---|
python-fastapi |
FastAPI + async patterns |
python-cli |
Python CLI with typer/click |
react-typescript |
React + TypeScript + hooks |
nextjs |
Next.js App Router conventions |
django |
Django with ORM patterns |
rust |
Rust with clippy + proper error handling |
go |
Go with standard project layout |
node-express |
Express.js backend |
Forge scores your CLAUDE.md on:
- Section coverage — does it have the essentials?
- Accuracy — does it match your actual codebase?
- Specificity — are instructions actionable or vague?
- Anti-patterns — does it prevent common mistakes?
- Freshness — is it up to date?
# Clone and install
git clone https://github.com/Arete-Consortium/anchormd.git
cd anchormd
python3 -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
# Run tests
pytest tests/ -v
# Lint
ruff check src/ tests/
ruff format src/ tests/MIT