maxingaussian/pi-plans/plan-big
Claude Code and agent skill by maxingaussian/pi-plans
- community
Checking that the SKILL.md file is still in the repository.
Create a large Pi plan before implementation. Use for open-ended or high-risk repo efforts needing 10 or more planning questions, web research, concurrent reviewer refinement (findings plus questions), and refinement until convergence; exclude direct implementation-only, factual/explanation, trivial command-only, or explicit no-plan requests.
Install
npx vskill@latest install maxingaussian/pi-plans/plan-bigSKILL.md
Plan Big
Use this skill when the user wants a large, high-risk, or open-ended 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 at least 10 planning questions; no maximum — stop only when the decision tree is genuinely resolved. Each via
ask_choice(recommended option first; the tool addsOthersecond-last andAuto-completelast). Every option you write carries adescriptionof✓ <advantage> / ✗ <drawback>in the configured language, kept terse — the user chooses by weighing what each option gains against what it costs. Phase them in batches of up to 8: submit ONEquestions: [...]form call per phase, think about the answers, then continue with the next batch or follow-ups. - Batch protocol (0.4.0): when a round has several questions, submit them together as one
ask_choicecall withquestions: [...](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; singlequestionfor one).Escon 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 withautoComplete: false; batches reject those questions. - Use web research during both brainstorming and refinement when outside facts, patterns, or ecosystem constraints matter, 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.mdper../../references/plan-artifact-template.md. - After each plan version, ask the merged accept/execute question via
ask_choicewithautoComplete: false— never runrefineunless the user picked another round at that question. Default sequence: one reviewer round as three concurrent independent reviewers (refinewithreviewers: 3plusdirectionsyou 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 per the shared workflow, ask every question withask_choice, record the answers, then revise. Afterwards the recommended option is✓ Accept & execute nowin the merged accept/execute question. Beyond the default sequence, refine until convergence on high-priority findings, unresolved questions, or evidence gaps; surface at most five per round. Then the merged accept/execute question (ask_choice withautoComplete: false: ✓ Accept & execute now / Accept, don't execute yet / another round) and theexecute_plantool.
Fit
New systems, large feature surfaces, cross-repository or cross-service work, open-ended architecture, safety-sensitive changes, unclear user workflows, or plans whose shape is not yet known. Use plan-with-refs instead when external projects, papers, articles, or documentation must be downloaded and studied before planning choices are safe.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/plan-big/SKILL.md
Popularity
- Repository stars
- 239
- Repository forks
- 35
- 7-day trend score
- 5
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
[](https://verified-skill.com/skills/maxingaussian/pi-plans/plan-big)