apresmoi/up-init

Initialize your project

Quick setup — ask a few questions, save preferences, deploy skills. Everything else (README, LICENSE, standards, .gitignore) happens during /up-bootstrap or /up-adopt when we actually know the project.

Input

$ARGUMENTS is ignored — initialization always runs in the current directory.

Procedure

Step 1: Ask the user

Use AskUserQuestion to gather preferences. Aim for 2 rounds max. Group questions so each round has 2-4 questions. Do NOT read any files before asking — you have everything you need here.

Round 1:

• Which agent(s) will you use? Claude Code, Codex, or both. (default: auto-detect from current agent)
• What's your starting point?
  • From scratch — no existing code, you'll bring a research conversation
  • From reference — starting fresh, but there's existing code to draw from
  • Existing project — there's already a working project to document and improve
• What license? MIT (recommended), Apache 2.0, ISC, or none.
• How do you want to handle coding standards? Use Unpack's (recommended), bring your own, or research best practices.

Round 2:

• How are you going to deploy? AWS Copilot, Docker, GCP, Vercel, Fly.io, Railway, other, or not sure yet.
• Auto-commit after completing phases? Yes (recommended), or no.
• Do you want human-readable docs? No, yes (end-user / technical / full), or decide later.
• If yes to docs: Mintlify integration? (yes / no)

Skip questions that don't apply (e.g., don't ask about Mintlify if they said no to docs). If only 1 question remains, merge it into Round 1 instead of doing a separate round.

Step 1b: Git identity (optional)

After Round 2, check the current git config for the repo: git config user.name and git config user.email. Show the user what's configured and ask if they want to change it for this repo. If yes, run git config user.name "..." and git config user.email "..." (repo-level, not global).

Step 2: Write configuration

Create .unpack/docs/_meta/guide-config.md — this is the only file that MUST exist for the project to be considered initialized:

# Guide Configuration

## Project
- Entry path: <from-scratch/from-reference/existing-project>
- License: <mit/apache-2.0/isc/none>

## Standards
- Approach: <unpack/custom/research>
- Deployment: <aws-copilot/docker/gcp/vercel/fly/railway/other/undecided>

## Human docs
- Enabled: <yes/no/later>
- Level: <end-user/technical/full>
- Mintlify: <yes/no>

## Git
- Autocommit: <yes/no>

## Notes
- `/up-bootstrap` and `/up-adopt` read this file to configure the project
- `/up-document` reads this file to determine what to generate
- Change these settings anytime by editing this file

Step 3: Deploy skills

Overwrite the pre-deployed shims with pointer shims that reference the canonical skill files. Each deployed skill keeps its frontmatter and adds a single instruction line. Do NOT use a Task agent for this — it's a simple loop.

Based on the user's agent selection, run one of:

Claude Code only:

for skill in .unpack/skills/*/; do name=$(basename "$skill"); mkdir -p ".claude/skills/$name" && { head -4 "$skill/SKILL.md"; echo ""; echo "Read and follow the instructions in \`.unpack/skills/$name/SKILL.md\`."; } > ".claude/skills/$name/SKILL.md"; done

Codex only:

for skill in .unpack/skills/*/; do name=$(basename "$skill"); mkdir -p ".agents/skills/$name" && { head -4 "$skill/SKILL.md"; echo ""; echo "Read and follow the instructions in \`.unpack/skills/$name/SKILL.md\`."; } > ".agents/skills/$name/SKILL.md"; done

Both:

for skill in .unpack/skills/*/; do name=$(basename "$skill"); mkdir -p ".claude/skills/$name" ".agents/skills/$name" && { head -4 "$skill/SKILL.md"; echo ""; echo "Read and follow the instructions in \`.unpack/skills/$name/SKILL.md\`."; } | tee ".claude/skills/$name/SKILL.md" > ".agents/skills/$name/SKILL.md"; done

Step 4: Guide the user

If from scratch or from reference:

Project initialized!

Next step — research your project:

1. Open ChatGPT or Claude
2. Paste the contents of .unpack/prompts/research-guide.md at the start
3. Have your design conversation (any style — stream of consciousness is fine)
4. Save the chat as conversation.md at the project root
5. Run /up-bootstrap

Saving your conversation:
- Any AI: select all → copy → paste into conversation.md
- Long/messy chats: paste .unpack/prompts/extract-conversation.md into the chat — it'll consolidate final decisions for you

Then ask: "Want me to generate a bookmarklet for exporting conversations? It's a one-click bookmark that copies the chat as markdown." If yes, ask which platform (ChatGPT or Claude) and run node .unpack/tools/minify-bookmarklet.js <chatgpt|claude>. Show the output so they can save it as a bookmark.

If from reference, add: "Reference the existing code in your conversation — paste schemas, patterns, or architecture you want to carry forward."

If existing project:

Project initialized!

Next step: run /up-adopt to scan your project and generate documentation + alignment phases.

What init does NOT do

These are handled by /up-bootstrap or /up-adopt — not init:

• Replace README.md (needs project name from conversation)
• Update LICENSE / delete CONTRIBUTING.md
• Create .gitignore (needs stack detection)
• Load coding standards (needs stack detection)
• Create guide/ directory or mint.json
• Set AGENTS_STATE (bootstrap/adopt sets it when they run)

Important

• Do NOT read files unnecessarily — you have all the information you need in this skill
• Do NOT use Task agents for simple operations
• Keep the total tool calls under 10 (2 AskUserQuestion + 1 Write + 1 Bash + 1 text output = 5 ideally)
• Keep it fast — the user wants to get to their research conversation, not watch setup churn