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/scaffold-init

Initialize an AI-native development workspace with spec-driven workflow infrastructure. Use when starting a new project, setting up Claude Code on a codebase for the first time, or when the user says scaffold, initialize, set up AI workflow, onboard this repo, or similar. Do not

From plugin
jig
620 skills3 agents5 hooks
Install
$ npx -y skills add ramboz/jig --skill scaffold-init --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/scaffold-init

Context preview

The summary Claude sees to decide when to auto-load this skill.

Initialize an AI-native development workspace with spec-driven workflow infrastructure. Use when starting a new project, setting up Claude Code on a codebase for the first time, or when the user says scaffold, initialize, set up AI workflow, onboard this repo, or similar. Do not

SKILL.md

scaffold-init.SKILL.md
name: scaffold-init
description: >
  Initialize an AI-native development workspace with spec-driven workflow infrastructure.
  Use when starting a new project, setting up Claude Code on a codebase for the first
  time, or when the user says scaffold, initialize, set up AI workflow, onboard this
  repo, or similar. Do not use for adding an individual skill or config to an already-
  scaffolded project — that is handled by the relevant tier skill directly.
user-invocable: true

> Spec 001 is fully implemented: greenfield-scaffold, doc-content, signal-detection, > deferred-decisions, and Q&A wizard. > See [docs/specs/001-scaffold-init/spec.md](../../docs/specs/001-scaffold-init/spec.md).

What this skill does

Generates an AI-native development workspace by copying templates from `${CLAUDE_PLUGIN_ROOT}/templates/` into a target directory. Detects project signals from the filesystem (LLM/agent files, CI, tests, team), runs an optional Q&A flow to let the user override those signals, and selects tiers accordingly. Tier 0 always installs; Tier 1 installs when test signals are present; Tier 2 is offered (not auto-installed) when LLM/agent signals are present.

How to use

1. Determine the target directory. Default: the current working directory. If you're unsure, **ask the user once** before scaffolding. 2. Check if the target already has a `scaffold.json` or `docs/specs/` — if so, the project is already scaffolded. **Stop and tell the user** rather than overwriting. 3. **Run the Q&A flow** (see next section). Collect answers as flag values. 4. Invoke the wizard with the collected flags:

   python3 "${CLAUDE_PLUGIN_ROOT}/skills/scaffold-init/scaffold.py" \
     [--runtime <name>] [--team|--solo] [--has-ci|--no-ci] \
     [--has-tests|--no-tests] [--plans-ai|--no-ai] \
     [--in-repo] \
     <target-dir>

With no machinery flag the wizard scaffolds **plugin mode** — the lean default (docs + primer only; jig runs from the installed plugin). Pass `--in-repo` only when the sixth question is answered "yes". 5. Read the wizard's stdout summary and report back to the user. List the files that were created and the immediate next steps.

Codex custom-agent install

Codex scaffold mode (`--host codex`) writes project-local custom agents as TOML under `.codex/agents/`. For Codex plugin users who want jig's role agents globally available, run the explicit post-install helper:

python3 "${CLAUDE_PLUGIN_ROOT}/skills/scaffold-init/scaffold.py" --install-codex-agents

The default destination is `~/.codex/agents`. Use `--codex-agents-dir <dir>` to target a different Codex agents directory. The helper refuses to overwrite user-owned `jig-*.toml` files unless `--force` is passed.

Q&A flow (slice 001-05)

Ask each question in order. **Each question is independently skippable** — if the user says "skip", "I don't know", "unsure", or similar, do not pass the flag (the wizard's filesystem inference handles it).

1. **Runtime/language** — "What runtime or language is this project? (e.g. Python, TypeScript, Go, Rust, mixed, unsure)" → `--runtime <name>` if answered; omit if skipped or unsure. 2. **Team context** — "Solo project or team setting?" → `--team` for team, `--solo` for solo; omit if skipped (uses git-author detection). 3. **Existing CI** — "Does the project already have CI configured?" → `--has-ci` for yes, `--no-ci` for no; omit if skipped. 4. **Existing tests** — "Does the project already have a test suite?" → `--has-tests` for yes, `--no-tests` for no; omit if skipped. This affects whether tier-1 (`tdd-loop` and friends) is auto-installed. 5. **LLM/agent work planned** — "Will this project involve LLM or agent development?" → `--plans-ai` for yes, `--no-ai` for no; omit if skipped. This affects whether tier-2 is offered. 6. **Machinery vs. plugin** — "Will this project ever run jig where the plugin may NOT be installed — CI, cloud agents, or teammates without jig? (yes → copy jig's machinery into the repo; no → use the installed plugin)" → `--in-repo` for yes; **omit for no** (plugin mode is the default). Skipping selects plugin mode. This is the one architectural question in the flow (it decides repo topology — what gets committed), so it won't appear in the project's own docs. Default to plugin mode (lean repo, jig updates flow from the plugin); choose `--in-repo` only for the self-contained cases above. See [ADR-0041](../../docs/decisions/adr-0041-scaffold-defaults-to-plugin-mode.md).

Skipping every question is the legitimate "pure inference" mode (slice 001-03 behavior) — the wizard infers from filesystem signals alone, and defaults to plugin mode. Do not invent answers when the user is unsure.

Output

After running, the target directory contains (plugin mode — the default):

  • `CLAUDE.md` (with Hot Cache section, project name substituted)
  • `docs/` (architecture, workflow, conventions, refinement-todo, inbox, memory/, specs/, decisions/)
  • `.claude/hooks/` (empty — project-specific gates can go here)
  • a **project-scoped permissions file**, on hosts that provide one — seeded with

the ADR-0013 destructive-command deny floor (`git push --force`, `git reset --hard`, `rm -rf`). Hosts with no project-scoped permission surface get no such file and no deny floor.

  • `.gitignore` (secret-ignore floor)
  • `scaffold.json` (install-state manifest; `scaffold_mode: "plugin-only"`)

> For what your project actually received: `scaffold.json` records the mode and > host, and your host's own settings file (if it has one) carries the deny > floor. (This section is deliberately host-neutral — it is machine-translated > per host.)

In plugin mode jig's skills, agents, and hooks stay under the installed plugin and run from the plugin root — no *machinery* is copied into the repo. The one exception is the permissions file above: `permissions.deny` lives in the project's own settings and no plug

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Ships withjig

A Claude Code and Codex plugin that scaffolds AI-native development practices into new projects. jig adds a repeatable spec, implementation, review, and memory workflow to AI-assisted software projects.

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Repo: ramboz/jig

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