By aniganti
Guide product strategy with structured frameworks for competitive analysis, strategic moats, VRIO, pre-mortem risk analysis, prioritization scoring, AI prompt building, stakeholder alignment, and decision logging.
Conduct a comprehensive competitive landscape analysis including competitor profiling, value chain mapping, positioning maps, and whitespace identification. Trigger phrases: competitive analysis, competitor analysis, competitive landscape, market analysis, who are my competitors
Capture and track product decisions with structured reasoning, alternatives considered, and evidence. Builds institutional memory and prevents re-litigation of settled decisions. Trigger phrases: "log a decision", "decision log", "record this decision", "why did we decide", "track decision", "document this decision"
Pre-mortem risk analysis for product launches. Identifies Tigers (real risks), Paper Tigers (overblown concerns), and Elephants (unspoken worries) to improve launch readiness. Trigger phrases: "pre-mortem", "pre mortem", "launch readiness", "risk analysis", "what could go wrong"
Framework-driven feature and initiative prioritization using RICE, ICE, or weighted scoring. Grounds prioritization in strategic pillars and demands evidence-based scoring. Trigger phrases: "prioritize features", "prioritization", "rank these initiatives", "RICE score", "ICE score", "what should we build next", "prioritize my backlog"
Analyze a product's value chain and ecosystem strategy using aggregation theory, identifying integration opportunities and portfolio coherence. Trigger phrases: "ecosystem strategy", "product ecosystem", "aggregation theory", "value chain analysis", "product portfolio strategy"
Uses power tools
Uses Bash, Write, or Edit tools
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Turn proven product strategy frameworks into structured AI workflows you can run inside Claude Code.
Product managers are expected to think in frameworks — VRIO for competitive advantage, moat analysis for defensibility, pre-mortems for launch risk. But running these frameworks well is slow and inconsistent. You either spend hours on a strategy doc that covers surface-level analysis, or you skip it entirely because the next sprint is breathing down your neck.
Meanwhile, AI coding tools like Claude Code are reshaping how technical PMs work. But most AI-for-PM tools stop at "generate a PRD." They don't help you think strategically — they just help you write faster.
PM Superpowers bridges that gap. It gives you structured, multi-step AI workflows grounded in real strategy frameworks — not generic prompts, but interactive skill sessions that ask the right questions, pull competitive intelligence, and produce analysis you'd actually put in front of your leadership team.
# Add the marketplace
claude plugin marketplace add aniganti/pm-superpowers
# Install the plugin
claude plugin install pm-superpowers
Then run /strategy to kick off a full strategy session, or ask "help me prioritize my backlog" to get started.
| Skill | What it does |
|---|---|
strategy | Full 6-step interactive workflow: market analysis → problem space → strategic pillars (VRIO) → design/technical alignment → vision/mission/goals → communicate |
competitive-landscape | Standalone competitor analysis with automated web research via sub-agent |
vrio-analysis | VRIO framework competitive advantage evaluation — Value, Rarity, Imitability, Organization — applied to your specific product |
strategic-moat | Defensibility assessment across 8 moat types including network effects, feedback loops, and ecosystem lock-in |
product-ecosystem | Aggregation theory and value chain analysis for platform/ecosystem strategy |
| Skill | What it does |
|---|---|
pre-mortem | Launch readiness risk analysis using the Tigers / Paper Tigers / Elephants framework |
prioritization | Framework-driven feature/initiative prioritization using RICE, ICE, or weighted scoring — grounded in strategic pillars |
decision-log | Structured capture of product decisions with reasoning, alternatives, evidence, and trade-offs — builds institutional memory |
| Skill | What it does |
|---|---|
stakeholder-alignment | Transforms strategy artifacts into tailored briefing docs, audience-specific FAQs, and workshop agendas for each stakeholder group |
verification | Quality gate that re-reads any artifact against structured checklists and issues a PASS / PASS WITH WARNINGS / FAIL verdict |
| Skill | What it does |
|---|---|
prompt-builder | Guided AI prompt creation through 9 structured questions — role, audience, outcome, obstacles, tone, task, context, examples, format |
using-pm-superpowers | Interactive guide to all available skills, recommended workflows, and output save locations |
| Agent | What it does |
|---|---|
competitive-researcher | Automated competitive intelligence gathering via web research |
competitive-landscape → vrio-analysis → strategic-moat → strategy → pre-mortem
Each skill's output feeds into the next. Start with external landscape, move to internal capabilities, synthesize into strategy, then stress-test.
pre-mortem → stakeholder-alignment
[any analysis skill] → decision-log → stakeholder-alignment
strategy → prioritization → stakeholder-alignment
Run verification before sharing artifacts with stakeholders.
All artifacts are saved to the docs/ directory:
npx claudepluginhub aniganti/pm-superpowers --plugin pm-superpowersProduct management skills — turn messy ideas into specs, design experiments, synthesize research, and draft readouts.
Product strategy skills for PMs: vision, strategy canvas, value propositions, lean canvas, business model canvas, SWOT, PESTLE, Ansoff Matrix, Porter's Five Forces, and monetization.
Strategy & stakeholder skills: Competitor Signal Tracker, Competitive Intelligence Monitor, Stakeholder Influence Mapper, Strategic Narrative Generator, Executive Update, Ambiguity Resolver.
A comprehensive library of PM skills covering discovery, strategy, delivery, finance, AI orchestration, and career leadership.
Product Manager Skills Pack - 39 skills across 5 modules: demand insight, solution design, growth iteration, risk management, and product strategy
MUST use when the user wants to plan, strategize, validate, or scope a product or feature. Composable product-thinking lenses (JTBD, PR-FAQ, positioning, pre-mortem, RICE, North Star, MVP, GTM, and more) that snap to the outcome and blend when the situation needs it, from raw idea to dev handoff.