maxingaussian/pi-plans/plan-normal

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Create a researched Pi plan before implementation. Use for broad or risky repo changes needing 5 to 10 planning questions, web research, reviewer refinement (findings plus questions), and bounded refinement; exclude direct implementation-only, factual/explanation, trivial command-only, or explicit no-plan requests.

Install

npx vskill@latest install maxingaussian/pi-plans/plan-normal

SKILL.md

Plan Normal

Use this skill when the user wants a substantive plan before a repository change.

Pi Setup

Read ../../references/pi-planning-workflow.md and ../../references/state-and-config.md — both normative — and follow their setup, state, language, and reviewer rules. Initialize workspace state with the plans tool (action: "init"); state lives in .git/pi-plans/. Ask every question with the ask_choice tool; run refinement rounds with the refine tool.

Depth Contract

  • Inspect the target Git repo read-only before the first product question.
  • Ask 5 to 10 planning questions via ask_choice (recommended option first; the tool adds Other second-last and Auto-complete last). Every option you write carries a description of ✓ <advantage> / ✗ <drawback> in the configured language, kept terse — the user chooses by weighing what each option gains against what it costs. Submit the first batch of up to 8 as ONE questions: [...] form call, think about the answers, then follow up in later batches (2+ related questions) or single-question calls.
  • Batch protocol (0.4.0): when a round has several questions, submit them together as one ask_choice call with questions: [...] (2-8 items, recommended option first per question) — the tool opens one tabbed multiple-choice form with a submit page instead of asking one at a time. After the batch returns, think about the answers, then follow up in later calls (batch again for 2+ related follow-ups; single question for one). Esc on the form returns the answered subset as partial answers — continue with what you got and re-ask only what matters. The final scope confirmation and the execution handoff are ALWAYS single-question calls with autoComplete: false; batches reject those questions.
  • Use web research whenever outside library behavior, ecosystem precedent, UX convention, protocol semantics, or compatibility affects the recommendation (websearch skill when installed; otherwise curl/gh via bash), and cite sources in the plan. Optionally (never required) you may also search 1–2 named references — a paper (e.g. arXiv), an engineering blog post, or another repository — whose technique or measurements strengthen the plan's reasoning; cite their URLs in the plan's Evidence section. This optional reference search does not count against the planning-question limit and never requires downloading or analyzing material (that is plan-with-refs' job).
  • Ask the final scope confirmation, then write PLAN_v1.md per ../../references/plan-artifact-template.md.
  • After each plan version, ask the merged accept/execute question via ask_choice with autoComplete: false — never run refine unless the user picked another round at that question. Default sequence: one reviewer round as two concurrent independent reviewers (refine with reviewers: 2 plus directions you tailor to this project — see Concurrent Reviewers And Tailored Directions in the shared workflow), each returning findings (F-###) and up to five questions (Q-1..Q-5); consolidate, ask every question with ask_choice, record the answers, then revise. Afterwards the recommended option is ✓ Accept & execute now in the merged accept/execute question. Up to five rounds total, continuing only for high-priority findings or unresolved reviewer questions; surface at most five per round. Then the merged accept/execute question (ask_choice with autoComplete: false: ✓ Accept & execute now / Accept, don't execute yet / another round) and the execute_plan tool.

Fit

Multi-file changes, architecture boundaries, user-facing workflows, external APIs, dependency upgrades, compatibility risk, or web-evidence-shaped plans. Escalate to plan-big when open-ended, cross-system, strategically ambiguous, or likely beyond ten planning decisions.

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