← ClaudeAtlas

create-a-big-planlisted

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.
Optim-Agent/optim-plans · ★ 2 · AI & Automation · score 68
Install: claude install-skill Optim-Agent/optim-plans
# Create A Big Plan Use this skill when the user wants a large, high-risk, or open-ended plan before a repository change. ## Setup 1. Read `../_shared/references/prime-planning-workflow.md`, `../_shared/references/state-and-config.md`, and `../_shared/references/plan-artifact-template.md`. 2. Initialize state with `python3 scripts/optim_plans.py init --repo <target-repo> --topic <topic> --plan-level create-a-big-plan --request-text <original-request>`. 3. Use `.git/optim-plans` for controller state and `docs/optim-plans/YYYY-MM-DD-topic/` for public artifacts. ## Depth Contract - Inspect the target Git repo read-only before the first product question. - Ask at least 10 planning questions, one at a time. There is no maximum; stop only when the decision tree is resolved. - Use web research during both brainstorming and refinement when outside facts, patterns, or ecosystem constraints matter. - Use the standard choice prompt format: recommended first, `Other` second-last, `Auto-complete` last. - Ask the mandatory final scope confirmation before writing `PLAN_v1.md`. - Write `PLAN_v1.md` under `docs/optim-plans/YYYY-MM-DD-topic/`. - Run reviewer or criticizer refinement until convergence while high-priority findings, unresolved criticizer questions, or evidence gaps remain. - In each refinement round, surface at most five high-priority comments or questions. - After convergence or user acceptance, ask the native execution handoff question without `Auto-complete`. ## Fit Ch