Sponsor Suno AI Music arrow_forward
Slash Command

Generate Map

Analyze codebase and generate a comprehensive project-map.md overview

Type
Slash Command
GitHub stars
2.8k
License
MIT
Repo last updated
Sep 27, 2026

What Generate Map is

Generate Map is a slash command published in the jeremylongshore/tons-of-skills-marketplace repository on GitHub, which has about 2.8k stars. The repository describes itself as: “Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.”

A slash command is a reusable prompt saved as a markdown file and run by typing its name after a slash. In Claude Code, custom commands have been merged into skills: a file in .claude/commands/ and a skill folder in .claude/skills/ both create the same kind of command, and existing command files keep working.

Generate Map gives you a repeatable way to run the same instructions without retyping them, optionally with arguments.

How to install Generate Map

Claude Code

  1. Download generate-map.md from the repository.
  2. Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md.
  3. Run it by typing / followed by its name, with arguments such as [--force].

Claude Cowork

  1. Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it.
  2. In Customize → Skills, click +, then upload the ZIP.
  3. Run it from any task with / and the skill name.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

An excerpt from plugins/community/sprint/commands/generate-map.md, shared under the repository's MIT license. Read the full file on GitHub.

You are generating a comprehensive .claude/project-map.md file for this codebase.

Your Task

Analyze the entire codebase and create a clear, concise project map that a new developer can read in a few minutes to understand the system.

Workflow

  1. Scan the codebase structure
  • List all top-level directories
  • Identify the main technology stack
  • Find configuration files (package.json, pyproject.toml, docker-compose.yml, etc.)
  1. Identify the tech stack
  • Backend framework and language
  • Frontend framework (if any)
  • Database(s)
  • Infrastructure (Docker, K8s, cloud services)
  • Key libraries and dependencies
  1. Map the project structure
  • Main folders and their responsibilities
  • Entry points and important files
  • Configuration locations
  1. Document the API surface (if applicable)
  • Main endpoints grouped by domain
  • Authentication method
  • Link to OpenAPI/Swagger if available
  1. Document the database (if applicable)
  • Main entities and relationships
  • Migration tool and location
  1. Document the frontend (if applicable)
  • Main pages/routes
  • Component organization
  • State management approach
  1. Document infrastructure
  • How to run the project locally
  • Docker services and ports
  • Environment variables needed
  1. Document testing
  • Test frameworks in use
  • How to run tests

Output Format

Create/overwrite .claude/project-map.md with this structure:

# Project Map

> Auto-generated overview of the codebase. Last updated: [date]

## Tech Stack

- **Backend:** [framework, language, version]
- **Frontend:** [framework, language, version]
- **Database:** [type, version]
- **Infrastructure:** [Docker, etc.]
- **Key Libraries:** [list]

## Project Structure

/ ├── backend/ # [description] ├── frontend/ # [description] ├── ...


## API Surface

### [Domain 1]
- `GET /api/...` - [description]
- `POST /api/...` - [description]

### [Domain 2]
...

## Database Schema

Main entities:
- **Entity1** - [description, key fields]
- **Entity2** - [description, key fields]

Relationships: [brief description]
…

Commands to run the project


### Docker Services

| Service | Port | Description |
|---------|------|-------------|
| ...     | ...  | ...         |

### Environment Variables

| Variable | Purpose | Required |
|----------|---------|----------|
| ...      | ...     | ...      |

## Testing

- **Framework:** [pytest/jest/etc.]
- **Run tests:** `[command]`
…

Guidelines

  • Keep it concise - aim for a document readable in 5 minutes
  • Use bullet points and tables
  • Link to detailed docs rather than copying content
  • Remove any sections that don't apply
  • Be accurate - verify information from actual files

After Generation

Report to the user:

  • Summary of what was documented
  • Any areas that need manual review
  • Suggestions for missing documentation

Before you install

  • Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
  • Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
  • Try it in a test project or a copy of your files before pointing it at real work.
  • Pin the version you tested, and review changes before updating.
  • Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is Generate Map?

Generate Map is a slash command for Claude Code and Claude Cowork from the jeremylongshore/tons-of-skills-marketplace repository on GitHub. Analyze codebase and generate a comprehensive project-map.md overview

How do I install Generate Map in Claude Code?

Download generate-map.md from the repository. Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md. Run it by typing / followed by its name, with arguments such as [--force].

Can I use Generate Map in Claude Cowork?

Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it. In Customize → Skills, click +, then upload the ZIP. Run it from any task with / and the skill name.

Is Generate Map safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

Similar resources

Browse all skills, subagents, and plugins →

Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under MIT. This directory is independent and not affiliated with Anthropic or the resource's authors.