Initialize project locally

SkillDatabases & data

Set up and run THIS project locally from a fresh clone — environment, dependencies, database/services, migrations, seed, and the dev server. Reads the project's own setup docs rather than assuming.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Initialize project locally skill

What this skill tells your AI

The instructions your AI receives, as published by coleam00/ai-native-starter-pack in .claude/skills/init-project/SKILL.md and read by ahel’s review.

Read the project's README, .env.example, docker-compose.yml, and pyproject.toml / package.json first, then use the real values for this project.

Typical steps

  1. Env: cp .env.example .env and fill in required values.
  2. Dependencies: install them (uv sync / npm install / poetry install / …).
  3. Services: start the DB/queue (docker compose up -d if there's a compose file).
  4. Migrations: apply them (alembic upgrade head / prisma migrate dev / …).
  5. Seed: run any seed/fixtures command the project provides.
  6. Run: start the dev server(s).

Validate

Hit the health endpoint or open the app and confirm it loads.

Notes

  • Exact ports, service names, and commands differ per project — always check the repo's own config and README rather than assuming defaults.

Signals

GitHub stars
69
Forks
23
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
init-project
Source
github.com/coleam00/ai-native-starter-pack