Askit init plugin

Skill product-on-purpose/agent-skills-toolkit/skills/askit-init-plugin

Toolkit and Standard for building, grading, and scaling cross-agent skill libraries (Claude Code + Codex) to a tiered Bronze/Silver/Gold quality bar.

Install

npx -y skills add product-on-purpose/agent-skills-toolkit --skill askit-init-plugin

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What its author says it does

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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.

SKILL.md

2.6 KB, as published. Nobody here has run it

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 (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/ (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.

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

Ask the maintainer the onboarding questions live (theme/scope, target agents, target tier, first components).
Synthesize a starting config and scaffold from templates/seed-plugin/, filling library.json name/description and AGENTS.md.
Hand off: askit-build-skill for the first skill, askit-build-docs for docs, askit-evaluate to confirm Bronze.

questionnaire mode

Emit templates/onboarding-questionnaire.template.md for the maintainer to fill async.
On return, process the maintainer-feedback blocks into a config and scaffold as above.

hybrid mode

From chat context, emit a tailored questionnaire pre-filled with suggested answers (keeping the feedback blocks).
Process the returned, corrected questionnaire and scaffold.

Scope

The seed scaffold is the minimal Bronze anatomy (the structural match the asserted test enforces, ADR 0023, not a byte-exact diff): it passes every Universal check with 0 errors. The richer surfaces (a real README via askit-build-docs, CHANGELOG via askit-release, ADRs via askit-decision, backlogs via askit-backlog) are scaffolded by their own skills, so init composes the toolkit rather than duplicating it. Marketplace scaffolding is askit-init-marketplace.