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askit-init-pluginlisted

Creates a starting plugin that satisfies the Bronze anatomy and onboards the maintainer, in three modes (interview, questionnaire, hybrid). Use when starting a new plugin from scratch, onboarding a maintainer, or generating a scaffolding questionnaire.
product-on-purpose/agent-skills-toolkit · ★ 0 · AI & Automation · score 75
Install: claude install-skill product-on-purpose/agent-skills-toolkit
# askit-init-plugin ## Purpose Onboard a maintainer and scaffold a starting point that is gradeable from the first commit. Three modes: `interview` runs a live conversational Q&A, then scaffolds; `questionnaire` emits the structured [onboarding template](../../templates/onboarding-questionnaire.template.md) (with per-section maintainer-feedback and agent-response blocks) for the maintainer to fill async, then processes it; `hybrid` pre-fills that questionnaire with suggestions from chat context, still leaving the feedback blocks. All three scaffold the Bronze seed anatomy from [`templates/seed-plugin/`](../../templates/seed-plugin/) (`library.json` with the five required fields + `AGENTS.md` + README/CHANGELOG starters) so the new plugin passes the conformance core immediately. Mode and anatomy detail are in [references/onboarding-modes.md](references/onboarding-modes.md). ## When to use When starting a brand-new plugin from scratch, onboarding a maintainer, or generating a scaffolding questionnaire. (To adopt an EXISTING repo instead, use `askit-migrate`.) ## interview mode 1. Ask the maintainer the onboarding questions live (theme/scope, target agents, target tier, first components). 2. Synthesize a starting config and scaffold from `templates/seed-plugin/`, filling `library.json` `name`/`description` and `AGENTS.md`. 3. Hand off: `askit-build-skill` for the first skill, `askit-build-docs` for docs, `askit-evaluate` to confirm Bronze. ## questionnaire mode 1. Emit `temp