New Project

Scaffold a new project with the AI-assisted development workflow.

Argument format: [language/framework]

• `` (required) — name of the project directory to create
• [language/framework] (optional) — the tech stack, used to tailor Makefile targets, linter config, .gitignore, and pre-commit hooks. Examples: python, python/fastapi, go, typescript/nextjs, rust. If omitted, you will be asked.

Examples:

• /new-project my-api python/fastapi — creates ./my-api/ with Python/FastAPI tooling
• /new-project my-cli go — creates ./my-cli/ with Go tooling
• /new-project my-app — creates ./my-app/, asks what stack to use

Process

1. Interview (if needed)

If no language/framework was given, ask the user:

• What language/framework?
• What type of project? (API, CLI, library, web app, etc.)
• Any specific tooling preferences? (test framework, linter, etc.)

2. Initialize the project

Create the project directory inside the current working directory and initialize git:

mkdir -p 
cd 
git init

The project is created at $PWD//. If you want it elsewhere, cd to the desired parent directory first.

3. Create workflow structure

Create these directories:

.claude/
.claude/agents/
docs/
docs/specs/
docs/roadmap/
docs/adr/
docs/rfc/

Note: Skills are installed globally at ~/.claude/skills/. Do NOT create project-level skill copies — they'd duplicate and drift from the global versions. The global skills (/architecture, /tdd, /security, /adr, /rfc, /spec, /roadmap, /feature, /fix, /review, /autopilot) are already available. For stack-aware code review, install Anthropic's official code-review skill from claude-code-plugins. Only create project-level agents and settings.

4. Create CLAUDE.md

Create a CLAUDE.md at the project root tailored to the language/framework:

# CLAUDE.md

## Build & Test
- `make test` — run test suite
- `make lint` — run linters
- `make typecheck` — type checking (if applicable)
- `make build` — build the project (if applicable)

## Code Style
- [Language-specific conventions that Claude might get wrong]

## Architecture
- [Brief description of project structure]

## Workflow
- All PRs require passing CI + human review
- Commit messages use conventional commits (feat:, fix:, refactor:, chore:)
- Security-sensitive changes require /sec-review before PR
- Features start with a spec in docs/specs/

Adapt the build commands and style section to the chosen language/framework.

5. Create project-level agents

Copy the security-reviewer and architecture-reviewer into .claude/agents/, tailored to the project's language if needed.

6. Create project-level settings

Create .claude/settings.json with hooks appropriate to the language:

{
  "hooks": {
    "PostToolUse": [
      {
        "matcher": "Edit|Write",
        "command": "make lint-changed 2>&1 | head -20",
        "description": "Lint after every file edit"
      }
    ]
  }
}

7. Create Makefile

Create a Makefile with standard targets for the chosen language/framework:

• test — run tests
• lint — run linter
• typecheck — run type checker (if applicable)
• build — build (if applicable)
• lint-changed — lint only changed files
• security-scan — run security scanner (gitleaks, bandit, gosec, etc.)

8. Create .pre-commit-config.yaml

Set up pre-commit hooks:

• Language-appropriate linter
• Type checker (if applicable)
• Test runner
• gitleaks for secret detection

9. Create .gitignore

Appropriate for the language/framework. Always include:

• .claude/ local files
• .env
• Language-specific build artifacts

10. Create initial docs

Create .gitkeep files to preserve directory structure:

• docs/specs/.gitkeep
• docs/roadmap/.gitkeep
• docs/adr/.gitkeep
• docs/rfc/.gitkeep

11. Summary

Tell the user what was created and suggest next steps:

1. cd
2. pre-commit install
3. /prd — define what we're building
4. /architecture — define system structure
5. /tdd — define testing strategy, dev environment, CI/CD
6. /security — define the threat model (if applicable)
7. /spec — write your first feature spec
8. /feature docs/specs/.md — implement it

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: 0xrafasec
• Source: 0xrafasec/ai-workflow
• License: MIT

Install and usage instructions live in the source repository linked above.