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PM Agent Skill

4-agent product management workflow covering the full PM lifecycle: Research → Define → Validate → Launch. Built on 7 proven frameworks including JTBD, Opportunity Solution Tree, Amazon Working Backwards, and Lean Startup.

Works with any Agent Skills compatible tool: Claude Code, OpenAI Codex, Trae, Cursor, Gemini CLI, and more.

What This Is

Every PM tool does one thing well: ChatPRD writes PRDs, Dovetail does research, Linear tracks tasks. But nobody connects them. You still manually shuttle context between tools.

This skill gives you a complete PM workflow as AI subagents — each phase produces a structured artifact that feeds the next. One problem statement in, full product plan out.

Phases

# Phase Agent Does Framework Output
1 Research JTBD analysis, competitor map, market sizing, personas JTBD + Design Thinking DISCOVERY.md
2 Define Opportunity tree, RICE scoring, Amazon PRD, user stories Opp. Tree + Amazon Working Backwards PRD.md
3 Validate Assumption mapping, experiment design, prototype plan Design Sprint + Lean BML EXPERIMENT.md
4 Launch GTM strategy, OKRs, release checklist, feedback loop Dual-Track Agile + OKR GTM.md

Install

Via npm

npm install -g @jahonn/agentskills-cli
agentskills install ./pm-agent-skill -t all

Via ClawHub (OpenClaw)

clawhub install ai-pm-agent

Manual

cp -r pm-agent-skill ~/.claude/skills/pm-agent

Usage

Full workflow

"I want to build an app that does X" → runs all 4 phases
"Run pm-agent on [problem statement]"

Single phase

"/research [product idea]"
"/define [research findings]"
"/validate [PRD]"
"/launch [validated product]"

Partial workflow

"Just do a competitor analysis" → Research only
"Help me prioritize my backlog" → Define (RICE section)
"Write a PRD for this feature" → Define with feature description

Example

Input:

Small business owners struggle to track invoices across multiple payment platforms, leading to cash flow blind spots.

Output (4 phases, ~20 min):

  1. DISCOVERY.md — JTBD analysis, 3 competitors mapped, TAM/SAM/SOM, 2 personas
  2. PRD.md — Opportunity tree with 5 opportunities, RICE scored, press release + FAQ, 8 user stories
  3. EXPERIMENT.md — 3 riskiest assumptions identified, Lean BML experiments with pass/fail criteria
  4. GTM.md — ICP, positioning statement, 90-day OKRs, release checklist

Frameworks Used

Framework Phase What It Does
Jobs-to-be-Done Research Understand what "job" users hire the product for
Design Thinking Research Empathize → Define → Ideate framework
Opportunity Solution Tree Define Map outcomes → opportunities → solutions
RICE Scoring Define Prioritize by Reach × Impact × Confidence / Effort
Kano Model Define Classify features: must-have / performance / delighter
Amazon Working Backwards Define Write press release before PRD
Design Sprint Validate 5-day prototype testing methodology
Lean Startup BML Validate Build → Measure → Learn experiment cycles
Dual-Track Agile Launch Discovery + Delivery running in parallel
OKR Launch Objectives and Key Results for 90-day sprints

Human-in-the-Loop

Each phase ends with a checkpoint:

  • Approve — proceed as-is
  • Edit — modify the artifact, then continue
  • Rerun — provide feedback, regenerate

AI drafts. Humans decide.

Related

License

MIT

About

AI-powered PM workflow agent — JTBD, Opportunity Solution Tree, Amazon PRD, Design Sprint, Lean BML. Works with Claude Code, Codex, Trae, Cursor and 20+ AI tools

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