# Create A Big Plan

> Create a large Prime Agent plan before implementation. Use for open-ended or high-risk repo efforts needing 10 or more planning questions, web research, reviewer or criticizer subagents, and refinement until convergence; exclude direct implementation-only, factual/explanation, trivial command-only, or explicit no-plan requests.

- Skill: `optim-agent/create-a-big-plan` (Agent Skill)
- Install (CLI): `npx skillmds@latest add optim-agent/create-a-big-plan`
- Raw SKILL.md: https://api.skillmd.com/api/skills/optim-agent/create-a-big-plan/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: Optim-Agent (https://skillmd.com/u/optim-agent)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/optim-agent/create-a-big-plan

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# Create A Big Plan

Use this skill when the user wants a large, high-risk, or open-ended plan before a repository change.

## Prime Agent Setup

Read `../../../../references/prime-planning-workflow.md` and `state-and-config.md` — both normative — and follow their setup, state, `language`, and reviewer/criticizer rules. State lives in `.git/prime_plans/` via `../../../../scripts/prime_plans_state.py init --workdir <target-workdir>`; spawn reviewer/criticizer roles with `await rlm(...)`.

## Depth Contract

- Inspect the target Git repo read-only before the first product question.
- Ask at least 10 planning questions, one at a time; no maximum — stop only when the decision tree is genuinely resolved. Standard choice format: recommended first, `Other` second-last, `Auto-complete` last.
- Use web research during both brainstorming and refinement when outside facts, patterns, or ecosystem constraints matter.
- Ask the final scope confirmation, then write `PLAN_v1.md` per `../../../../references/plan-artifact-template.md`.
- After each plan version, ask the refinement mode question from the shared workflow — never spawn a reviewer or criticizer unless the user or `Auto-complete` selected it at that question. Default sequence: one `Reviewer` round as three concurrent independent reviewers consolidated by the main agent (protocol in the shared workflow), then one `Criticizer` round; afterwards the recommended option is `Accept plan for native Prime Agent execution`. Beyond the default sequence, refine until convergence on high-priority findings, unresolved questions, or evidence gaps; surface at most five per round. Then the goal-based execution handoff from the shared workflow.

## 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 `reference-before-plan` instead when external projects, papers, articles, or documentation must be downloaded and studied before planning choices are safe.