scaffold-initlisted

> 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 `${PLUGIN_ROOT}/templates/` into a target directory. Detects project signals from the filesystem (LLM/agent files, CI, tests, team), runs an optional Q&A flow to let the user override those signals, and selects tiers accordingly. Tier 0 always installs; Tier 1 installs when test signals are present; Tier 2 is offered (not auto-installed) when LLM/agent signals are present. ## How to use 1. Determine the target directory. Default: the current working directory. If you're unsure, **ask the user once** before scaffolding. 2. Check if the target already has a `scaffold.json` or `docs/specs/` — if so, the project is already scaffolded. **Stop and tell the user** rather than overwriting. 3. **Run the Q&A flow** (see next section). Collect answers as flag values. 4. Invoke the wizard with the collected flags: ```bash python3 "${PLUGIN_ROOT}/skills/scaffold-init/scaffold.py" \ [--runtime <name>] [--team|--solo] [--has-ci|--no-ci] \ [--has-tests|--no-tests] [--plans-ai|--no-ai] \ <target-dir> ``` 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-agen