slgoodrich-agents

AI PM Copilot for Claude Code

Answer product management's hardest questions in minutes, not days

Expert product management guidance powered by frameworks from Teresa Torres, Marty Cagan, April Dunford, and more - without hiring a product manager.

Right feature. Right users. Right time. Right reasons.

Not a project management tool. Not a generic AI assistant. A specialized copilot that combines:

• Speed of AI (answers in minutes)
• Depth of product management frameworks (Teresa Torres, Marty Cagan, April Dunford)
• Context-aware reasoning (remembers your product, personalizes outputs)

Built for solo developers and small teams who need enterprise product management capabilities without the complexity.

Why AI PM Copilot?

You're a solo founder building your first product. You can code, but product management decisions feel like guesswork:

• "Should I build feature X or Y first?"
• "How do I validate this idea without wasting weeks?"
• "Which users should I target?"
• "When is the right time to launch?"

Generic AI (ChatGPT, Claude): Fast answers, but no product management frameworks or strategic depth Enterprise PM tools (Jira, Aha!): Deep features, but slow, complex, and expensive Manual PM work (Notion, templates): Flexible, but requires expertise you don't have

AI PM Copilot: Expert product management frameworks + AI speed = rigorous answers delivered in minutes.

Built on 16 proven methodologies from product management thought leaders. Context-aware intelligence that remembers your product. Developer-native experience inside Claude Code.

Built on Proven Product Management Frameworks

AI PM Copilot isn't generic AI advice - it's built on expert frameworks from product management thought leaders:

Research & Discovery: Teresa Torres (Continuous Discovery), Erika Hall (Just Enough Research)
Strategy & Goals: Marty Cagan (Empowered), Sean Ellis (Product-Market Fit), April Dunford (Positioning)
Execution & Planning: Jeff Patton (Story Mapping), Basecamp (Shape Up), Google (HEART/Goals)
Prioritization: Intercom (RICE), Dan Olsen (Lean Product Playbook)

16 proven methodologies. 100+ templates and frameworks. Expert rigor at AI speed.

How It Works

Just talk to Claude Code like you would a consultant:

You: "I'm building a SaaS analytics tool. Should I prioritize dashboards or API access first?"

→ product-manager routes to feature-prioritizer
→ Reads your product context from setup
→ Returns scored recommendations with rationale

Result: Expert RICE scoring in 2 minutes with explanation of why each feature ranks where it does.

Try it yourself:

1. Install: /plugin install ai-pm-copilot
2. Setup (optional, 5-10 min): /ai-pm-copilot:pm-setup
3. Ask: "Should I prioritize feature X or Y?"

What's Included

8 Expert Product Management Agents - Available 24/7 for research, strategy, execution, and launch (1 orchestrator + 7 specialists)

1 Utility Agent - Automated codebase context discovery (context-scanner)

3 Multi-Agent Team Presets - Validation sprints, PRD stress tests, competitive war rooms

16 Proven Frameworks - RICE, JTBD, Lean Startup, Story Mapping, and more

100+ Templates & Assets - PRD templates, roadmap frameworks, interview guides

Context-Aware Intelligence - One-time setup, personalized outputs across all agents

Built on frameworks from Teresa Torres, Marty Cagan, April Dunford, Sean Ellis, Jeff Patton, and more.

Get Started (5 Minutes to Your First Expert Answer)

1. Install the Plugin

/plugin marketplace add https://github.com/slgoodrich/agents
/plugin install ai-pm-copilot

2. (Optional) Set Up Product Context

Spend 5-10 minutes setting up context once, save 80% of questions across all future interactions:

/ai-pm-copilot:pm-setup

3. Ask Your First Product Management Question

"Should I prioritize feature X or Y?"
"Design a user interview study for churn"
"Score these 5 features with RICE"

Get expert product management guidance in minutes, not days. No signup. No API keys. Just install and ask.

Use Cases

Daily Product Management Work

Feature validation:

"I want to add real-time collaboration. Is this worth building?"
→ Coordinates research-ops for validation, feature-prioritizer for scoring

Planning:

"Plan next quarter focused on retention"

Documentation:

"Write a PRD for SSO integration"

Strategic Planning

Quarterly Goals:

"Create Q2 goals for a pre-PMF SaaS product"

Market analysis:

"Research the competitive landscape for project management tools"

Roadmap:

"Build a now-next-later roadmap for next 6 months"

Research & Discovery

User research:

"Design a study to understand user onboarding pain points"

Validation:

"Help me validate this feature hypothesis with 10 user interviews"

Synthesis:

"Analyze these interview transcripts and identify top 3 insights"

Launch Planning

Go-to-market:

"Create a beta launch plan for our API product"

Positioning:

"Develop positioning for a new pricing tier"

Agent Teams (Experimental)

Multi-agent team presets for high-stakes product decisions. Multiple agents work in parallel, challenge each other's conclusions, and synthesize competing perspectives.

Requires Claude Code's Agent Teams feature. Check https://docs.anthropic.com/en/docs/claude-code for setup instructions.

Validation Sprint

/agent-teams:validation-sprint "AI-powered code review tool for solo developers"

Three agents investigate in parallel (idea-researcher, market-researcher, idea-skeptic), cross-examine each other's findings, and deliver a BUILD / DON'T BUILD / NEEDS MORE EVIDENCE verdict.

PRD Stress Test

/agent-teams:prd-stress-test path/to/prd.md

Three reviewers (market-fit, feasibility, scope) score your PRD independently, flag conflicts between their reviews, and deliver a READY TO BUILD / NEEDS REVISION / MAJOR REWORK verdict.

Competitive War Room

/agent-teams:competitive-war-room "Notion, Coda, Slite"

One researcher per competitor runs a deep-dive in parallel. Results are synthesized into a positioning map, battle cards, and strategic recommendations.

Agents

The toolkit provides 1 orchestration agent, 7 specialist agents, and 1 utility agent that work together to cover the complete product lifecycle:

1. product-manager (Main Router)

Your primary entry point - Intelligent agent that routes requests to specialized experts

Use for:

• General product management questions and guidance
• Multi-faceted problems requiring multiple perspectives
• When unsure which specialist to consult

Example:

"I need to validate a feature idea, prioritize it, and plan delivery"
→ Routes to research-ops, feature-prioritizer, and requirements-engineer

2. market-analyst

Market research, competitive analysis, and positioning

Use for:

• Competitive landscape analysis
• Market sizing and opportunity assessment
• Product positioning and differentiation
• TAM/SAM/SOM calculations
• Win/loss analysis

Example:

"Analyze our position against competitors in the project management space"
"Research competitive landscape for project management tools"

3. research-ops

User research, interviews, and validation

Use for:

• User interview planning and synthesis
• Usability testing
• Problem/solution validation
• Customer feedback analysis
• Research program design

Example:

"Design a study to understand why 30% of users churn after first month"
"Synthesize these interview transcripts into themes and insights"

4. product-strategist

Vision, strategy, and goals

Use for:

• Product vision and strategy
• Quarterly and annual goals
• Strategic roadmaps
• North Star metric definition
• Strategic trade-offs

Example:

"Create Q2 goals focused on reaching product-market fit"

5. roadmap-builder

Roadmap planning and sequencing

Use for:

• Now-Next-Later roadmaps
• Theme-based roadmaps
• Quarterly planning
• Feature sequencing and phasing
• Milestone planning

Example:

"Build a 6-month roadmap for our mobile app launch"

6. feature-prioritizer

RICE, ICE, and prioritization frameworks

Use for:

• RICE/ICE scoring
• Kano model analysis
• Value vs Effort matrices
• Trade-off decisions
• Backlog ranking

Example:

"Score these 10 features using RICE framework"

7. requirements-engineer

PRDs, specs, and user stories

Use for:

• Product requirements documents (PRDs)
• Technical specifications
• User story writing
• Acceptance criteria
• Feature documentation

Example:

"Write a comprehensive PRD for dark mode feature"

8. launch-planner

Go-to-market and launch execution

Use for:

• Launch planning and execution
• GTM strategy and distribution channel selection
• Beta programs
• Launch messaging and positioning
• Community launches (Product Hunt, Hacker News, Reddit)

Example:

"Create a launch plan for our new API product"

9. context-scanner (Utility Agent)

Automated strategic context discovery from codebase

Use for:

• Auto-discovering features, tech stack, and integrations during setup
• Refreshing stale context when product changes
• Getting accurate baseline for competitive analysis
• Fast onboarding on existing projects

What it discovers:

• Features (from routes, pages, API endpoints)
• Tech stack (from package.json, requirements.txt, etc.)
• Integrations (from 3rd party packages)
• Project scale (files, LOC, complexity)

What it doesn't do:

• Code quality or architecture analysis
• Performance or security assessment
• Engineering recommendations

Note: This is a utility agent (not a PM specialist) that uses Haiku model for efficient file operations. It's automatically invoked by pm-setup when you have an existing codebase, or can be invoked by PM agents when they need current product state.

Example (automatic invocation):

/ai-pm-copilot:pm-setup
→ Detects codebase
→ "Scan codebase to auto-discover context? (yes/no)"
→ If yes: context-scanner runs, presents findings for validation
→ Time saved: 10-15 minutes vs manual entry

Agent Routing Pattern

The product-manager agent acts as an intelligent router that:

1. Analyzes your request to understand the product management discipline(s) needed
2. Routes to the appropriate specialist agent(s)
3. Coordinates multi-agent workflows when needed
4. Synthesizes outputs from multiple specialists

Simple routing:

"Help me prioritize features"
→ product-manager routes to feature-prioritizer

Multi-agent workflow:

"Validate this feature idea and create a launch plan"
→ product-manager routes to research-ops (validation)
→ Then to launch-planner (GTM strategy)
→ Synthesizes complete plan

Direct to specialist: If your question clearly fits one domain, Claude Code may route directly to the specialist without going through product-manager first.

Skills

Skills are knowledge frameworks that agents load progressively when needed, organized by the product development journey:

Stage 1: Validation (Before writing code)

Is this idea worth my time? Who are my competitors?

• competitive-analysis-templates - SWOT, Porter's Five Forces, competitive positioning
• market-sizing-frameworks - TAM/SAM/SOM, market validation
• product-positioning - April Dunford framework, differentiation strategy

Stage 2: Understanding (Who am I building for?)

Who are my users? What problems am I solving?

• user-research-techniques - Interviews, surveys, usability testing, JTBD
• interview-frameworks - Interview design, questioning, synthesis