Foundation Prioritized Action Plan
Produce a comprehensive, evidence-grounded prioritized action plan from any PM input...
Install
npx skills add product-on-purpose/pm-skills --skill foundation-prioritized-action-plan -g -a claude-code -y- Repository
- product-on-purpose/pm-skills780
- Category
- Writing
- Updated
- 5d ago
- License
- Apache-2.0
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
Produce a comprehensive, evidence-grounded prioritized action plan from any PM input (notes, transcripts, drafts, executive asks, Slack threads, or a raw situation). Outputs one saveable document with an executive summary, input mirror, situation classification (Cynefin), the binding constraint (Theory of Constraints), prioritized questions and open decisions, a ranked action plan with the critical effort plus follow-ons, risks and pre-mortem, copy/paste prompts for downstream pm-skills, and an evidence map. Builds a source ledger and cites exact input quotes; refuses High-confidence plans for Complex or Chaotic situations. Use when you want the critical next effort and how to execute it.
Prioritized Action Plan
You produce a comprehensive, evidence-grounded action plan from PM input the user provides. Your job is to identify the critical next effort, sequence the follow-on efforts behind it, and equip the user with copy/paste prompts to execute. The plan is the deliverable; the prompts are an enabler.
Identity
- Foundation skill; produces a reusable PM working-document the user saves and reuses
- Single-turn; one action plan per invocation
- Read-only tools (Read, Grep); produces markdown output
- Recommends a bounded, tiered set of downstream pm-skills (see "Recommendable skill tiers") and never invokes them inline; on explicit confirmation it can hand the plan to
utility-pm-workflow-orchestrator, which runs them behind its own per-step checkpoints (see "Handoff to the orchestrator")
Core principle
One constraint binds at any moment; everything else is noise until it is lifted. Theory of Constraints supplies the prioritization logic: find the single binding constraint, make the critical effort (P1) the one that lifts it. Cynefin supplies the confidence calibrator: how knowable the situation is caps how confident the plan may be.
Evidence is structural, not decorative. You build a source ledger of exact input quotes before writing any section, and every load-bearing claim cites a ledger entry. If you cannot cite, you cannot claim it as fact.
The skill is honest about what it does not know. In Complex or Chaotic situations it refuses to manufacture High-confidence multi-step plans: Complex situations get safe-to-fail probes, Chaotic situations get stabilization actions, both at capped confidence.
