By tarunccet
Interactive Socratic learning modules for PMs: guided exercises, simulations, and quiz checkpoints for discovery, strategy, metrics, prioritization, user research, stakeholder management, AI product management, and vibe coding.
Discover the right PM skill for your current situation. Asks about your context and recommends the best skill or command to use.
Start the AI product management learning module — guided Socratic exercise on model evaluation, responsible AI, prompt engineering, and AI metrics.
Start the continuous product discovery learning module — guided Socratic exercise on Opportunity Solution Trees, assumption mapping, and experiment design.
Start the user interview simulation — practice conducting a JTBD interview with a realistic user persona, then receive structured coaching feedback on your technique.
Start the product metrics workshop — scored interactive exercise on North Star metrics, input metrics, and counter-metrics for a fictional B2C social app.
Interactive Socratic learning module on AI product management: model evaluation, responsible AI, prompt engineering, AI metrics, and managing AI features in production.
Interactive Socratic learning module on continuous product discovery using Teresa Torres's Opportunity Solution Tree framework.
Interactive metrics workshop teaching North Star metrics, input metrics, and counter-metrics through a scored, Socratic exercise with a fictional B2C app scenario.
Interactive prioritization framework module where learners apply RICE, ICE, and Opportunity Score to a realistic product backlog and learn when each framework is most useful.
Multi-stakeholder simulation where the AI plays conflicting executives and the learner practices roadmap alignment, negotiation, and coalition-building as a fintech PM.
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9 Plugins · 83 Skills · 56 Commands · MCP on npm
Stop writing prompts from scratch. Start executing proven PM frameworks with agentic AI.
Designed for Claude Code & Cowork · Compatible with Cursor, Gemini CLI, VS Code Copilot, Windsurf, and more
Getting Started · What's New · MCP / npm · Plugin Install · All Plugins
Agentic PM Skills is a marketplace of PM skills and chained workflows across 9 plugins. Designed natively for Claude Code and Cowork (and compatible with other AI assistants), it transforms your LLM from a generic text generator into a structured, rigorous Product Management engine.
From continuous discovery to go-to-market strategy, execution, and vibe coding—get the rigor of industry leaders (like Teresa Torres and Marty Cagan) built directly into your daily automated workflow.
[!NOTE] This repository is a heavily extended and actively maintained fork of phuryn/pm-skills, originally created by Paweł Huryn. See What's New in This Fork for details.
Generic AI gives you walls of text. This repository gives you structure.
Each skill encodes a specific, proven analytical framework. When you trigger a command, the AI doesn't just guess; it walks you through a step-by-step process for assumption mapping, prioritization, and strategy definition.
The result: Better, faster product decisions — not just faster documents.
| I am… | Start with | Then try |
|---|---|---|
| 💡 Exploring a new idea | /discover | → /strategy → /plan-launch |
| 📦 Shipping a feature | /write-prd | → /write-stories → /sprint |
| 🤝 Preparing for a meeting | /prep-meeting | → /write-update → /challenge |
| 🚀 Launching a product | /plan-launch | → /battlecard → /marketing-plan |
| 🛠️ Building a prototype | /plan-prototype | → /vibe-spec → /deploy-check |
| 🤖 Building an AI feature | /ai-spec | → /ai-model-eval → /responsible-ai-review |
| 📊 Defining metrics | /north-star | → /design-funnel → /plan-tracking |
| 🎓 New to PM / learning | /learn | → Pick any /learn-* module |
| 🧭 Not sure where to start? | /find-skill | Describes your task, gets routed |
This project is a heavily extended fork of phuryn/pm-skills, originally created by Paweł Huryn. The table below highlights what this fork adds beyond the upstream version:
| Area | Upstream (phuryn/pm-skills) | This Fork (tarunccet/pm-skills) |
|---|---|---|
| 📦 Plugins | 8 plugins | 9 plugins — 3 brand-new domains added |
| 🧠 Skills | 65 skills | 83 skills (+28% coverage) |
| ⚡ Commands | 36 commands | 56 commands (+56% more workflows) |
| 🤖 AI Product Mgmt | — | ✅ New plugin: pm-ai-product-management — AI specs, model eval, responsible AI, prompt engineering (8 skills, 5 commands) |
| 🛠️ Vibe Coding | — | ✅ New plugin: pm-vibe-coding — Prototype planning, vibe specs, code review for PMs, deploy checklists (7 skills, 6 commands) |
| 🎓 Guided Learning | — | ✅ New plugin: pm-guided-learning — Socratic-method learning modules for discovery, strategy, metrics, AI PM, and more (8 skills, 10 commands) |
| 😈 Devil's Advocate | — | ✅ New skill in pm-product-strategy — Stress-test ideas, proposals, and strategies |
| 🔧 Tool Compatibility | Claude, Gemini CLI, OpenCode, Cursor, Codex CLI, Kiro | All upstream + VS Code Copilot Chat and Windsurf |
| 📋 Skill Quality | Basic frontmatter | Enhanced quality standards with required sections: Purpose, Domain Context, When to Use / Not Use, Examples |
npx claudepluginhub tarunccet/pm-skills --plugin pm-guided-learningVibe coding skills for PM-builders: write AI coding specs, plan prototypes, make technical decisions, review AI-generated code, ship with confidence, and understand codebases and technical systems in PM-friendly terms.
Data analytics skills for PMs: SQL query generation, cohort analysis, A/B test analysis, funnel analysis, event tracking planning, metric definition, product metrics framework, and North Star metric definition.
Market research skills for PMs: user personas, unified segmentation (market, user, and beachhead modes), sentiment analysis, and competitive analysis with standard, AI-focused, and battlecard output modes.
Product discovery skills for PMs: ideation, experiments, assumption testing, and customer interview synthesis. Feature prioritization and assumption prioritization are now part of the unified prioritization skill in pm-execution. Product metrics are now in the product-metrics skill in pm-data-analytics.
Execution and product management skills: PRDs, OKRs, roadmaps, sprints, pre-mortems, stakeholder maps, user stories, unified prioritization (features, assumptions, backlog, and general modes with all 9 frameworks), general-purpose writing, meeting preparation, and stakeholder updates.
A comprehensive library of PM skills covering discovery, strategy, delivery, finance, AI orchestration, and career leadership.
66 product management skills (30 phase + 9 foundation + 12 utility + 15 tool) plus 5 sub-agents (pm-critic, pm-skill-auditor, pm-changelog-curator, pm-release-conductor, pm-workflow-orchestrator) for AI agents covering the full product lifecycle from discovery through iteration. v2.27.1 is a maintenance patch (the classification sub-count drift gate; no new skills, catalog stays 66). v2.27.0 is the provable-quality release: every measured skill carries trigger-eval fixtures with CI gates for routing drift and new-skill collisions, the catalog surfaces (skill-manifest.json + the generated AGENTS.md catalog) are built from frontmatter behind enforcing staleness gates, the output-quality eval harness + asset gate ship, and the creator/validator family bakes the eval contract into skill creation; no new skills (catalog stays 66). v2.26.0 adds the utility-pm-workflow-builder skill (guided authoring from a workflow idea or a promoted chain to a staged Workflow Implementation Packet) and the /chain command (ad-hoc ordered skill chains routed to the pm-workflow-orchestrator Mode B under a written chain-expression contract, with a --thread flag for declared linear dependency); the catalog grows to 66 skills. v2.25.2 is a maintenance patch (a unified validator-inventory manifest with an enforcing CI parity referee that closes the bash/PowerShell/CI drift class, plus the remaining 2026-06-06 Codex audit fixes); no new skills (catalog stays 65). v2.25.1 is a maintenance patch (documentation-site Pattern S reorg, a generated resource index, an em-dash-scar cleanup with new CI guards, dependency bumps, and a pre-tag validator fix); no new skills (catalog stays 65). v2.25.0 adds the plugin's first hooks: opt-in house-rule guardrails (a PreToolUse hook that blocks em-dash and en-dash characters when enabled in .claude/pm-skills.local.md) plus a confident-only SessionStart phase router that suggests the right Triple Diamond skills for the current repo, and an advisory output-quality CI tier (deterministic invariants over the recorded samples); no new skills (catalog stays 65). v2.24.0 adds the pm-workflow-orchestrator sub-agent and its utility-pm-workflow-orchestrator dispatch skill, a governed runner that takes a saved foundation-prioritized-action-plan (or a user-named chain) and runs an ordered sequence of pm-skills with per-step go/no-go checkpoints; foundation-prioritized-action-plan grows a --run handoff (v1.1.0) that offers to run its own runnable prompts through the orchestrator; the catalog grows to 65. v2.23.0 adds one foundation skill, foundation-prioritized-action-plan, which turns any PM input into an evidence-grounded prioritized action plan using Theory of Constraints and Cynefin; the catalog grows from 63 to 64. v2.22.0 removes the 63 redundant per-skill command wrappers (each skill now appears once, invoked directly by name: /pm-skills:<name> on Claude Code, $<name> on Codex) and adds a native Codex .codex-plugin manifest so Codex discovers the skills; all existing skills unchanged. v2.21.0 is an additive distribution launch: pm-skills becomes installable through the new product-on-purpose marketplace (the recommended home for Product on Purpose plugins) while the existing install path keeps working unchanged, so no existing user has to act; no new skills (catalog stays 63). v2.20.0 adds slash commands for the three workshop sprint methodologies (Foundation Sprint, Design Sprint, and the end-to-end arc) plus documentation-count validator hardening; no new skills (catalog stays 63). v2.19.0 hardened the release-validation tooling so the library polices its own counts, cross-references, and links. v2.18.0 added four highest-consensus content skills: discover-market-sizing (TAM/SAM/SOM multi-framework triangulation), define-prioritization-framework (RICE, ICE, MoSCoW, Weighted Scoring, and Kano run in parallel with a cross-framework comparison), discover-journey-map (stages, touchpoints, emotional curve, and moments of truth), and measure-survey-analysis (honest survey analysis with limitation warnings), each with three thread-aligned samples. It carries forward v2.17.0 native Claude Code sub-agent registration: the sub-agent definitions moved to the canonical agents/ directory (the coordination directory was renamed to _agent-context/ to free the name), so all 4 sub-agents now auto-discover via @-mention on Claude Code; the dispatch skills continue to provide the same capability on Codex CLI, Cursor, Windsurf, Copilot, and Gemini CLI. v2.17.0 also migrates skill frontmatter to the metadata-nested structure per the agentskills.io specification and makes the CI validators bash-3.2 portable. Doc-stack on Astro 6.3.x + Starlight 0.39.x. Carries forward v2.15.0 Sprint Skills (Foundation Sprint family + Design Sprint family + tool-note-and-vote under classification:tool), v2.12.0 OKR Skills set, v2.11.0 Meeting Skills Family, lean canvas, persona, structured templates, real-world examples, 12 workflows including the foundation-to-design end-to-end arc, an interactive skill builder, and lifecycle tools for validating and iterating skills. Follows the agentskills.io specification.
The AI-native PM operating system — deep, framework-grounded PM skills with live MCP tool integrations, chained sub-agent workflows, and persistent user memory. Built for solo PMs and founding PMs who need an AI partner that actually knows their product.
Agent-first PM toolkit with 9 specialist agents and 18 skills for solo developers and small teams
Execution and product management skills: PRDs, OKRs, roadmaps, sprints, pre-mortems, stakeholder maps, user stories, prioritization frameworks, and more.
Cross-cutting PM utilities and essential PM practices.