A curated library of 68 best-practice, plug-and-play product management skills covering the complete product lifecycle - plus templates, workflows, and 200+ real-world sample outputs that set the quality bar.
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Table of Contents
Quick Start
After installing, you’ll have all 68 skills available (invoke any by name, like /pm-skills:deliver-prd, /pm-skills:define-hypothesis, /pm-skills:deliver-user-stories) plus 10 /workflow-* orchestrator commands and the /chain ad-hoc runner, templates, sub-agents, and 200+ sample outputs.
Claude Code (recommended):
/plugin marketplace add product-on-purpose/agent-plugins
/plugin install pm-skills@product-on-purpose
Already installed via the old pm-skills-marketplace? It keeps working - no action needed. To move to the new home, see the v2.21.0 release notes.
Cross-agent (Cursor, Copilot, Cline, and others via the open skills CLI):
npx skills add product-on-purpose/pm-skills
Clone or download:
git clone https://github.com/product-on-purpose/pm-skills.git
More resources:
- Getting Started Guide - Detailed walkthrough for new users covering clone, sync helper, and first skill run. The path to take if any of the quick start steps above leave gaps.
- Setup by Platform - Step-by-step install for Claude.ai, Codex, Cursor, Windsurf, GitHub Copilot, VS Code extensions, and ChatGPT.
- Quickstart Reference - Short-form reference card for users who just need the commands.
Optional: let the skills remember your project
By default every skill starts cold, so you re-supply your phase, your current initiative, and anything a previous skill already produced. You can record that once instead.
Add .claude/pm-skills.local.md to your .gitignore, then create it:
---
schema: 1
phase: discover
active_initiative: "Self-serve onboarding"
---
Eight skills now read it. The moment worth seeing: run discover-interview-synthesis on your research, confirm the entry it offers to record, then run deliver-prd. It uses the personas you already produced rather than asking you to paste them again.
Nothing happens until you create the file, and writes are proposed for your confirmation rather than applied. Full schema, the list of participating skills, and the limits it does not yet cover: Hooks and project memory.
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Recent Updates
MCP Server: Maintenance Mode (effective 2026-05-04)
The companion pm-skills-mcp server is in the v2.9.x maintenance line (latest v2.9.3) and remains available on npm for clients that need MCP transport. The catalog is frozen at the v2.9.2 build; subsequent v2.9.x patches do not change the catalog. Active development on the MCP server is paused; security patches and critical bug fixes will continue.
Recommendation: For new users, we recommend using the plugin. See Installation and Setup for other options.
What’s New
| Version |
Date |
Highlights |
| v2.35.0 |
2026-10-30 |
A quality release: pm-skills declares a Standard, and two templates match their own skills. See CHANGELOG. |
| v2.34.0 |
2026-10-17 |
Sharper AI PRDs, and samples that mark invented evidence. See CHANGELOG. |
| v2.33.0 |
2026-08-29 |
The release users notice. See CHANGELOG. |
Full history: CHANGELOG.md or all GitHub Releases.
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The Big Idea
Stop prompt-fumbling. Start shipping. Every time you ask an AI to help with product management, you start from zero. Generic responses. Inconsistent formats. Missing critical sections. Hours lost to repetitive prompt crafting.
PM-Skills gives your AI instant access to professional frameworks refined across hundreds of product launches, production-ready templates that capture institutional PM knowledge, and real-world examples that set the quality bar.
| Without PM-Skills |
With PM-Skills |
| ⚠️ Generic AI responses |
✅ Professional PM frameworks |
| ⚠️ Inconsistent formats |
✅ Production-ready templates |
| ⚠️ Missing key sections |
✅ Comprehensive coverage |
| ⚠️ Starting from scratch |
✅ Building on best practices |
| ⚠️ Prompt engineering every time |
✅ One command, instant results |
Who Is This For
| You are… |
PM-Skills gives you… |
| A solo PM using AI for the first time |
A starting point that skips prompt engineering and produces professional output immediately |
| A team lead standardizing PM output |
Shared skill library your whole team invokes the same way, producing consistent artifacts |
| An AI/PM builder creating PM tools |
Open-source, Apache 2.0 library of production-quality PM artifacts to build on |
Key Features
- ✅ 68 Production-Ready Skills covering the complete product lifecycle (30 phase skills + 11 foundation skills + 12 utility skills + 15 tool skills for structured workshop methodologies)
- ✅ Triple Diamond Framework organizing Discover, Define, Develop, Deliver, Measure, and Iterate phases
- ✅ Tool Families for the Foundation Sprint (2-day strategic alignment) and Design Sprint (5-day prototype-and-test) workshop methodologies
- ✅ 5 Active Orchestration Sub-Agents (pm-critic, pm-skill-auditor, pm-changelog-curator, pm-release-conductor, pm-workflow-orchestrator) for Claude Code, with dispatch skills extending the pattern to Codex, Cursor, Windsurf, Copilot, and Gemini CLI
- ✅ 12 Workflows for common PM processes including Feature Kickoff, Lean Startup, Triple Diamond, and foundation-to-design end-to-end arc
- ✅ 10 Workflow Commands for Claude Code users - plus every skill invocable directly by name
- ✅ Auto-Discovery via AGENTS.md in GitHub Copilot, Cursor, and Windsurf
- ✅ Agent Skills Spec compliant - works across AI assistants
- ✅ Apache 2.0 Licensed for commercial and personal use
PM-Skills includes three utility skills that form a complete Create - Validate - Iterate lifecycle for building and managing skills:
%%{init: {'theme': 'base', 'themeVariables': {'primaryColor': '#fffbeb', 'primaryBorderColor': '#fde68a', 'lineColor': '#92400e'}}}%%
flowchart LR
classDef create fill:#ea580c,stroke:#c2410c,color:#fff,font-weight:bold
classDef validate fill:#0284c7,stroke:#0369a1,color:#fff,font-weight:bold
classDef decision fill:#374151,stroke:#1f2937,color:#fff
classDef ship fill:#166534,stroke:#14532d,color:#fff,font-weight:bold
classDef iterate fill:#7c3aed,stroke:#6d28d9,color:#fff,font-weight:bold
Create["utility-pm-skill-builder<br/>Create new skill<br/>from an idea"]:::create
Validate["utility-pm-skill-validate<br/>Audit structure<br/>and quality"]:::validate
Decision{"Findings?"}:::decision
Ship["Ship<br/>to library"]:::ship
Iterate["utility-pm-skill-iterate<br/>Apply targeted<br/>improvements"]:::iterate
Create --> Validate
Validate --> Decision
Decision -- "PASS" --> Ship
Decision -- "WARN / FAIL" --> Iterate
Iterate --> Validate
Why this matters: Skills are living artifacts that evolve. The builder creates them, the validator catches drift and quality gaps, and the iterator applies fixes. Together they keep the library consistent as it grows.
| Tool & Command |
What it does |
Builder: /pm-skills:utility-pm-skill-builder |
Creates a new skill from an idea. Runs gap analysis against existing skills, classifies by type and phase, generates draft files to a staging area, and promotes on confirmation. |
Validator: /pm-skills:utility-pm-skill-validate |
Audits an existing skill against structural conventions and quality criteria. Produces a report with severity-graded findings and actionable recommendations. |
Iterator: /pm-skills:utility-pm-skill-iterate |
Applies targeted improvements to a skill based on feedback or a validation report. Previews changes, writes on confirmation, and suggests a version bump. |
🔗 More resources:
- PM Skill Lifecycle Guide - Full workflow for creating, validating, and iterating skills, including the builder-validator-iterator cycle with worked examples.
- Creating PM Skills - Authoring guide for contributing new skills to the library.
- Skill Template - The canonical three-file template every skill must follow; copy this as your starting point.
Founded On
- Triple Diamond Framework - Six-phase product cycle (extends Design Council’s Double Diamond): Discover, Define, Develop, Deliver, Measure, Iterate
- Opportunity Solution Trees (Teresa Torres) - Outcome-driven discovery
- Jobs to be Done Framework - Customer motivation framework
- Foundation Sprint (Knapp/Zeratsky) - 2-day structured workshop methodology for early-stage strategic alignment: basics, differentiation, approach options, magic lenses, founding hypothesis, brief
- Design Sprint (Knapp/Zeratsky/Kowitz) - 5-day structured workshop methodology for prototype-and-test cycles: map-and-target, sketch, decide-and-storyboard, prototype-plan, test-and-score
- Architecture Decision Records (Michael Nygard format) - Technical decision documentation
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Installation and Setup
| Platform |
Native Skills? |
Notes |
| Claude Code |
✅ Yes |
Plugin marketplace + 10 workflow commands |
| GitHub Copilot |
✅ Yes |
AGENTS.md auto-discovery from clone |
| Cursor |
✅ Yes |
AGENTS.md auto-discovery from clone |
| Windsurf |
✅ Yes |
AGENTS.md auto-discovery from clone |
| Codex (OpenAI) |
✅ Yes |
AGENTS.md auto-discovery from clone |
| OpenCode |
✅ Yes |
Direct skill loading from clone |
| VS Code (Cline, Continue) |
✅ Yes |
AGENTS.md auto-discovery from clone |
| Claude.ai / Claude Desktop |
✔️ Manual |
ZIP upload to Project Files |
| ChatGPT / other LLMs |
✔️ Manual |
Paste SKILL.md content into conversation |
Featured Install Paths
Claude Code - Plugin Marketplace (recommended)
/plugin marketplace add product-on-purpose/agent-plugins
/plugin install pm-skills@product-on-purpose
Already installed via the old pm-skills-marketplace? It keeps working - no action needed. To move to the new home, see the v2.21.0 release notes.
All 68 skills and their slash commands become available immediately. No clone required.
Cross-Agent via skills CLI (Cursor, Copilot, Cline, and others)
npx skills add product-on-purpose/pm-skills
The open skills CLI from Vercel Labs scans the skills/ directory and installs all 68 skills into your agent’s default skills directory. Works with Claude Code, Cursor, GitHub Copilot, Cline, and any other agent that supports the skills ecosystem. Discoverable via skills.sh/product-on-purpose/pm-skills.
Telemetry is anonymous and opt-out via DISABLE_TELEMETRY=1 or DO_NOT_TRACK=1.
Installing a subset? The CLI’s --skill flag lets you take individual skills rather than the
whole library, and that is a supported way to use pm-skills. Be aware that skills route to each
other: a build-risk review ends by sending you to a hypothesis skill, a survey analysis points at
experiment design, and so on. Skills that route as part of their output now detect a missing
destination and inline the minimum version of it instead of leaving you a dead pointer, but the
full library is where the handoffs are seamless. If you are installing a subset, take the skills
a routing table sends you to as well as the one you came for.
Git Clone (manual path, everything included)
git clone https://github.com/product-on-purpose/pm-skills.git
cd pm-skills
Gives you the full repo: skill files, slash commands, sample library, workflows, and documentation. Use this path when you want local access to sample outputs, plan to customize skills, or prefer not to depend on a CLI.
Optional: after cloning, run ./scripts/sync-claude.sh (macOS/Linux) or ./scripts/sync-claude.ps1 (Windows) to populate .claude/skills/ for agents that use that discovery path.
Additional Install Methods
For Claude.ai, MCP clients, OpenCode, Windsurf, and ChatGPT, see the full Platform Setup Guide for step-by-step instructions.
More resources:
- Getting Started Guide - Detailed walkthrough for new users covering all install methods, the sync helper script, and your first skill run end-to-end.
- Quickstart Reference - Short-form reference card with just the essential commands.
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How Agent Skills Work
Each skill is a self-contained instruction set in three files:
%%{init: {'theme': 'base', 'themeVariables': {'primaryColor': '#f8fafc', 'primaryBorderColor': '#cbd5e1', 'lineColor': '#64748b'}}}%%
flowchart LR
classDef user fill:#1e293b,stroke:#0f172a,color:#f8fafc,font-weight:bold
classDef agent fill:#4f46e5,stroke:#3730a3,color:#fff,font-weight:bold
classDef skillFile fill:#7c3aed,stroke:#5b21b6,color:#fff
classDef templateFile fill:#0284c7,stroke:#0369a1,color:#fff
classDef exampleFile fill:#059669,stroke:#047857,color:#fff
classDef output fill:#166534,stroke:#14532d,color:#fff,font-weight:bold
User["You<br/>deliver-prd 'topic'"]:::user
Agent["Your Agent"]:::agent
SKILL["SKILL.md<br/>the method"]:::skillFile
TEMPLATE["TEMPLATE.md<br/>the structure"]:::templateFile
EXAMPLE["EXAMPLE.md<br/>the quality bar"]:::exampleFile
Output["Complete artifact"]:::output
User -- invokes --> Agent
Agent -- reads --> SKILL
Agent -- fills --> TEMPLATE
Agent -- mirrors --> EXAMPLE
SKILL --> Output
TEMPLATE --> Output
EXAMPLE --> Output
skills/deliver-prd/
SKILL.md # the method the agent reads
references/
TEMPLATE.md # the structure the output follows
EXAMPLE.md # the worked example that anchors quality
When you run /pm-skills:deliver-prd "topic", the agent loads the skill, mirrors the example, fills the template, and produces a complete PRD. No prompt engineering required.
| Property |
What it gives you |
| Declarative |
The skill says what a good PRD is, not how to phrase a prompt |
| Example-anchored |
The worked example sets the quality bar; the agent mirrors depth and structure |
| Structurally contracted |
The template enforces sections-present and sections-complete |
🔗 More resources:
- PM Skill Anatomy - Deep dive into the three-file structure (SKILL.md, TEMPLATE.md, EXAMPLE.md) and what each file contributes to output quality. Essential reading before authoring your first skill.
- Skill Finder - Decision guide for choosing the right skill when you know the outcome you need but aren’t sure which skill produces it.
- PM Skill Comparisons - Side-by-side comparison of overlapping skills. Prevents the common mistake of reaching for
problem-statement when opportunity-tree is the right fit.
- Sub-Agents - Claude Code also supports spawnable specialist agents for tasks that benefit from a dedicated agent context: adversarial review, catalog auditing, changelog curation, and release orchestration.
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The Skill Library
At a Glance
%%{init: {'theme': 'base', 'themeVariables': {'primaryColor': '#f0f4ff', 'primaryBorderColor': '#c7d2fe', 'lineColor': '#6b7280', 'clusterBkg': '#f8fafc', 'clusterBorder': '#e2e8f0'}}}%%
flowchart TB
classDef discover fill:#0891b2,stroke:#0e7490,color:#fff,font-weight:bold
classDef define fill:#7c3aed,stroke:#6d28d9,color:#fff,font-weight:bold
classDef develop fill:#d97706,stroke:#b45309,color:#fff,font-weight:bold
classDef deliver fill:#16a34a,stroke:#15803d,color:#fff,font-weight:bold
classDef measure fill:#dc2626,stroke:#b91c1c,color:#fff,font-weight:bold
classDef iterate fill:#9333ea,stroke:#7e22ce,color:#fff,font-weight:bold
classDef tool fill:#0284c7,stroke:#0369a1,color:#fff
classDef foundation fill:#059669,stroke:#047857,color:#fff
classDef utility fill:#ea580c,stroke:#c2410c,color:#fff
subgraph PHASE["Triple Diamond Phase Skills (30)"]
direction LR
DI["Discover<br/>5 skills"]:::discover
DE["Define<br/>5 skills"]:::define
DEV["Develop<br/>4 skills"]:::develop
DEL["Deliver<br/>6 skills"]:::deliver
ME["Measure<br/>6 skills"]:::measure
IT["Iterate<br/>4 skills"]:::iterate
DI --> DE --> DEV --> DEL --> ME --> IT
IT -."feedback loop".-> DI
end
subgraph WORKSHOP["Workshop Tool Families (15 skills)"]
direction LR
FS["Foundation Sprint<br/>7 skills<br/>2-day strategic alignment"]:::tool
DS["Design Sprint<br/>7 skills<br/>5-day prototype-and-test"]:::tool
NV["note-and-vote<br/>1 skill<br/>standalone mechanic"]:::tool
FS --> DS
end
subgraph SUPPORT["Cross-Cutting Capabilities (23 skills)"]
direction LR
FOUND["Foundation<br/>11 skills<br/>persona, lean-canvas,<br/>OKRs, meetings"]:::foundation
UTIL["Utility<br/>12 skills<br/>meta-tooling"]:::utility
end
PHASE -.uses.-> SUPPORT
WORKSHOP -.uses.-> SUPPORT
| Classification |
Count |
What’s in it |
| Phase (Triple Diamond) |
30 |
One skill per major PM activity across Discover, Define, Develop, Deliver, Measure, and Iterate |
| Foundation (cross-cutting) |
11 |
Persona, lean canvas, OKRs, prioritized action plan, stakeholder briefings, and the full meeting skills family |
| Utility (meta-tooling) |
12 |
pm-skill-builder, pm-skill-validate, pm-skill-iterate, pm-workflow-builder, pm-workflow-orchestrator, mermaid-diagrams, slideshow-creator, update-pm-skills, and helpers |
| Tool Families (workshop methods) |
15 |
Foundation Sprint family (7) + Design Sprint family (7) + note-and-vote (1) |
Foundation Skills - Cross-cutting capability (11)
| Skill |
What it does |
| persona |
Generate product or marketing personas with evidence and confidence ratings |
| lean-canvas |
Capture problem, customer segment, value proposition, and key metrics on one page |
| okr-writer |
Draft an objectives-and-key-results plan with tight, measurable key results |
| stakeholder-update |
Compose a stakeholder-facing update from project state and recent activity |
| meeting-agenda |
Draft a focused agenda from purpose, attendees, and time-box |
| meeting-brief |
One-page brief priming attendees with context and pre-reads |
| meeting-recap |
Synthesize a meeting transcript into decisions, actions, and follow-ups |
| meeting-synthesize |
Cross-meeting synthesis distilling themes from multiple sessions |
| prioritized-action-plan |
Turn any PM input into an evidence-grounded prioritized action plan via Theory of Constraints and Cynefin |
| stakeholder-briefings |
Fan any source artifact into a master document plus audience-tailored briefings, one per stakeholder lens, each a traceable projection of the master |
Phase Skills: Triple Diamond
Discover - Find and assess the right problem (5)
| Skill |
What it does |
| interview-synthesis |
Turn raw user research into actionable insights, patterns, and design implications |
| competitive-analysis |
Map the competitive landscape and identify gaps and differentiation opportunities |
| stakeholder-summary |
Understand who the key stakeholders are, what they need, and how to engage them |
| journey-map |
Map the customer journey: stages, touchpoints, emotional curve, pain points, and moments of truth |
| market-sizing |
Estimate market opportunity (TAM/SAM/SOM) with multiple frameworks and source-graded confidence |
Define - Frame the problem (5)
| Skill |
What it does |
| problem-statement |
Crystal-clear problem framing with scope, impact, and success criteria |
| hypothesis |
Testable assumptions with measurable success conditions |
| opportunity-tree |
Teresa Torres-style outcome-driven opportunity mapping |
| jtbd-canvas |
Jobs to be Done framework for understanding customer motivation |
| prioritization-framework |
Run RICE, ICE, MoSCoW, Weighted Scoring, and Kano in parallel with a cross-framework comparison |
Develop - Explore solutions (4)
| Skill |
What it does |
| solution-brief |
One-page solution pitch with tradeoffs and open questions |
| spike-summary |
Document technical exploration outcomes and decisions |
| adr |
Architecture Decision Records in Michael Nygard format |
| design-rationale |
Why you made that design choice, documented for future reference |
Deliver - Ship it (6)
| Skill |
What it does |
| prd |
Comprehensive product requirements document with problem, metrics, stories, scope, and dependencies |
| user-stories |
INVEST-compliant stories with acceptance criteria |
| acceptance-criteria |
Given/When/Then testable scenarios |
| edge-cases |
Error states, boundaries, and recovery paths |
| launch-checklist |
End-to-end launch checklist so nothing gets missed |
| release-notes |
User-facing release communication |
Measure - Validate with data (6)
| Skill |
What it does |
| experiment-design |
Rigorous A/B test planning with hypothesis, sample size, and success criteria |
| instrumentation-spec |
Event tracking requirements for engineers |
| dashboard-requirements |
Analytics dashboard specifications |
| experiment-results |
Document and synthesize learnings from completed experiments |
| okr-grader |
Score completed OKR sets at cycle close with KR-level scoring and learning synthesis |
| survey-analysis |
Analyze survey results into persona segments, validated hypotheses, and honest limitation warnings |
Iterate - Learn and improve (4)
| Skill |
What it does |
| retrospective |
Team retros that produce real action items, not just feelings |
| lessons-log |
Build organizational memory from repeated patterns and surprises |
| refinement-notes |
Capture backlog refinement outcomes and decision rationale |
| pivot-decision |
Evidence-based pivot/persevere framework with clear decision criteria |
🔗 More resources:
- Using Skills Guide - Practical guide to invoking skills across different agents, passing context effectively, and getting consistent outputs session to session.
- Using Workflows Guide - How to run multi-skill chains, handle handoffs between skills, and adapt workflows to your team’s process.
- Recipes - Curated patterns for common PM scenarios: solo feature launch, quarterly OKR cycle, research-to-delivery arc.
- Prompt Gallery - Real prompts that produce excellent skill outputs, annotated with what makes each one effective.
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A Foundation Sprint is a short, structured workshop that clarifies the problem space, target users, success metrics, constraints, and business context before creative exploration begins. It ensures teams start with shared understanding and crisp definitions so downstream design and product decisions move faster and with fewer reversals.
Run the full methodology with the foundation-sprint workflow.
%%{init: {'theme': 'base', 'themeVariables': {'primaryColor': '#eff6ff', 'primaryBorderColor': '#bfdbfe', 'lineColor': '#3b82f6'}}}%%
flowchart LR
classDef sprint fill:#0284c7,stroke:#0369a1,color:#fff,font-weight:bold
classDef gate fill:#1d4ed8,stroke:#1e40af,color:#fff,font-weight:bold
R["1. Readiness<br/>Go / No-Go check"]:::gate
B["2. Basics<br/>Customer + Problem + Competition"]:::sprint
Di["3. Differentiation<br/>2x2 advantage map"]:::sprint
A["4. Approach Options<br/>3-5 high-level paths"]:::sprint
M["5. Magic Lenses<br/>Score approaches"]:::sprint
H["6. Founding Hypothesis<br/>Synthesize direction"]:::sprint
Br["7. Brief<br/>One-page output"]:::gate
R --> B --> Di --> A --> M --> H --> Br
| Skill |
What it does |
| foundation-sprint-readiness |
Decision tree for evaluating whether a Foundation Sprint is the right next step |
| foundation-sprint-basics |
Establish the customer, problem, and competitive context (the founding 3-tuple) |
| foundation-sprint-differentiation |
Map your team’s unique advantages on a 2x2 framework |
| foundation-sprint-approach-options |
Generate 3-5 high-level strategic approaches |
| foundation-sprint-magic-lenses |
Score approaches across 3-4 critical evaluation lenses |
| foundation-sprint-founding-hypothesis |
Synthesize the chosen approach into a testable founding hypothesis |
| foundation-sprint-brief |
Produce the one-page sprint brief that serves as input for a Design Sprint |
🔗 More resources:
- Foundation Sprint Concept Primer - A Foundation Sprint is a 2-day structured workshop methodology developed by Jake Knapp and John Zeratsky. This primer explains what it is, when to use it, the 7-step sequence, and how it compares to a Design Sprint.
- Using Foundation Sprint - Operational guide for running the 7-skill Foundation Sprint sequence with an agent, including facilitation notes and output expectations for each step.
- Foundation Sprint FAQ - Answers to common questions about the methodology: how long it takes, who should be in the room, what to do with the brief output, and when not to run it.
- Foundation Sprint Cheat Sheet - One-page quick reference for the day-arc, skill sequence, and key outputs.
- Foundation Sprint Case Studies - Three fictional scenarios showing how different teams used the Foundation Sprint methodology at different stages.
- Foundation Sprint Recovery - What to do when a sprint produces a confusing founding hypothesis, the team disagrees on direction, or you want to redo a step.
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A Design Sprint is a fast, structured process that helps teams understand a problem, explore solutions, build a prototype, and test it with real users in five days. It reduces risk by forcing alignment and validation before any heavy engineering investment.
Run the full methodology with the design-sprint workflow. Chain it after a Foundation Sprint with foundation-to-design.
%%{init: {'theme': 'base', 'themeVariables': {'primaryColor': '#fdf4ff', 'primaryBorderColor': '#e9d5ff', 'lineColor': '#9333ea'}}}%%
flowchart LR
classDef sprint fill:#7c3aed,stroke:#6d28d9,color:#fff
classDef gate fill:#581c87,stroke:#3b0764,color:#fff,font-weight:bold
classDef day fill:#6d28d9,stroke:#5b21b6,color:#fff
R["Readiness<br/>Go / No-Go"]:::gate
Br["Brief<br/>Goal + Questions"]:::sprint
M["Day 1<br/>Map and Target"]:::day
S["Day 2<br/>Sketch"]:::day
D["Day 3<br/>Decide and Storyboard"]:::day
P["Day 4<br/>Prototype Plan"]:::day
T["Day 5<br/>Test and Score"]:::gate
R --> Br --> M --> S --> D --> P --> T
| Skill |
What it does |
| design-sprint-readiness |
Decision tree for evaluating whether a Design Sprint is the right next step |
| design-sprint-brief |
Pre-sprint brief: long-term goal and sprint questions |
| design-sprint-map-and-target |
Customer journey map and chosen target moment |
| design-sprint-sketch |
Structured 4-step individual sketch session |
| design-sprint-decide-and-storyboard |
Heat map, straw poll, decider vote, and storyboard |
| design-sprint-prototype-plan |
Realistic-enough Friday prototype plan |
| design-sprint-test-and-score |
5 customer interviews, scored patterns, and decision |
🔗 More resources:
- Design Sprint Concept Primer - A Design Sprint is a 5-day structured workshop methodology developed at Google Ventures by Jake Knapp, John Zeratsky, and Braden Kowitz. This primer covers the methodology’s heritage, the 5-day arc as implemented in this skill family, and how it differs from a physical in-person workshop.
- Using Design Sprint - Operational guide for running the 7-skill Design Sprint sequence with an agent, including what “realistic-enough” means for the prototype step and how to recruit for test day.
- Design Sprint FAQ - Questions about prototype fidelity, user recruitment, scoring results, and what to do if no clear winner emerges after testing.
- Design Sprint Cheat Sheet - One-page quick reference for the 5-day arc, skill sequence, and key outputs.
- Design Sprint Case Studies - Fictional scenarios applying the Design Sprint to B2C, B2B, and internal-tools product challenges.
- Design Sprint Recovery - What to do when prototype testing produces inconclusive results, the test fails entirely, or the team needs to iterate on the storyboard.
- Workshop Sprints vs Agile Sprints - The disambiguation every Scrum team needs before running their first Design Sprint. Two completely different processes, one unfortunately shared word.
- Workshop Method Comparison - When to use Foundation Sprint vs Design Sprint vs other structured workshop approaches; includes a decision matrix.
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| Skill |
What it does |
| note-and-vote |
Group decision mechanic usable inside any workshop or meeting - silent capture, share aloud, dot vote, discuss top-voted only, decider calls it |
| Skill |
What it does |
| pm-skill-builder |
Create new PM skills with gap analysis, classification, and guided drafting |
| pm-skill-validate |
Audit a skill against structural conventions and quality criteria |
| pm-skill-iterate |
Apply targeted improvements from feedback or validation reports |
| pm-workflow-builder |
Author a new multi-skill workflow (or promote a proven /chain) into a staged draft packet for review |
| mermaid-diagrams |
Create syntactically valid mermaid diagrams for product documents |
| slideshow-creator |
Generate professional presentations from JSON deck specifications |
| update-pm-skills |
Check for and apply updates to a local PM-Skills installation |
| pm-critic |
Adversarial quality reviewer for PM artifacts - also available as a sub-agent in Claude Code |
| pm-skill-auditor |
Cross-skill catalog auditor against structural and quality criteria - also available as a sub-agent |
| pm-changelog-curator |
CHANGELOG manager and entry drafter following conventional commit rules - also available as a sub-agent |
| pm-release-conductor |
Release orchestrator walking the 6-gate pre-tag runbook - also available as a sub-agent |
| pm-workflow-orchestrator |
Governed multi-skill runner; walks an ordered plan/chain with per-step go/no-go - also available as a sub-agent |
Sub-Agents
Sub-agents are specialist agents that Claude Code can spawn as autonomous sub-tasks within a larger session. Unlike skills - which are instruction files your agent reads inline - a sub-agent is a separate agent instance launched for a focused job. It runs against the skills catalog, produces its output, and returns the result to the orchestrating session. The orchestrator continues with that output as context.
%%{init: {'theme': 'base', 'themeVariables': {'primaryColor': '#f8fafc', 'primaryBorderColor': '#cbd5e1', 'lineColor': '#64748b', 'clusterBkg': '#f1f5f9', 'clusterBorder': '#cbd5e1'}}}%%
flowchart LR
classDef orchestrator fill:#1e293b,stroke:#0f172a,color:#f8fafc,font-weight:bold
classDef subagent fill:#4f46e5,stroke:#3730a3,color:#fff,font-weight:bold
classDef catalog fill:#7c3aed,stroke:#5b21b6,color:#fff
classDef output fill:#166534,stroke:#14532d,color:#fff,font-weight:bold
O["Your Claude Code session<br/>(orchestrator)"]:::orchestrator
subgraph SA["Sub-Agent (spawned instance)"]
direction LR
Agent["Specialist agent"]:::subagent
Cat["Skills catalog"]:::catalog
Agent -- reads --> Cat
end
Out["Focused output<br/>returned to session"]:::output
O -- "spawns" --> SA
SA --> Out
Out -- "informs" --> O
For other platforms (Codex, Cursor, Windsurf, Copilot, Gemini CLI), each sub-agent ships as a paired utility skill with dispatch instructions that replicate the same workflow in standard skill invocation mode.
| Sub-Agent |
Command |
What it does |
| pm-critic |
/pm-skills:utility-pm-critic |
Adversarial quality reviewer. Reads a PM artifact and produces a severity-graded findings report covering gaps, weak assumptions, and missing sections. Use it to stress-test a PRD, hypothesis, or opportunity tree before sharing with stakeholders. |
| pm-skill-auditor |
/pm-skills:utility-pm-skill-auditor |
Cross-skill catalog auditor. Checks a skill against structural conventions, frontmatter requirements, and quality criteria. Use it before contributing a new skill or after making changes to an existing one. |
| pm-changelog-curator |
/pm-skills:utility-pm-changelog-curator |
CHANGELOG manager. Drafts and formats changelog entries from git history and release context, following conventional commit classification rules and the repo’s established CHANGELOG format. |
| pm-release-conductor |
/pm-skills:utility-pm-release-conductor |
Release orchestrator. Walks through the 6-gate pre-tag release runbook: pre-tag readiness, adversarial review, version bumps, tagging, artifact verification, and post-tag hygiene. |
| pm-workflow-orchestrator |
/pm-skills:utility-pm-workflow-orchestrator |
Governed multi-skill runner. Walks an ordered step list (a saved foundation-prioritized-action-plan or a user-named chain), pausing for human go/no-go and refusing to advance past a failed or empty step. Ships EXPERIMENTAL. |
🔗 More resources:
- Active Orchestration Guide - What sub-agents are, how Claude Code spawns them, the dispatch skill pattern for other platforms, and invocation examples for all five sub-agents.
- v2.16.0 Release Notes - The release that introduced active orchestration, including the rationale for the sub-agent model and how it connects to the broader skill ecosystem.
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Workflows (skill chaining)
Workflows combine multiple skills into guided, end-to-end processes that mirror how experienced product managers actually work. Each workflow provides a sequence of skills with handoff guidance between steps so context flows naturally from discovery through delivery.
| Workflow |
Best for |
Skills included |
| Foundation to Design |
End-to-end strategic alignment into prototype-and-test |
foundation-sprint-* + design-sprint-* |
| Foundation Sprint |
2-day strategic alignment only |
All 7 foundation-sprint skills |
| Design Sprint |
5-day prototype-and-test only |
All 7 design-sprint skills |
| Feature Kickoff |
New features |
problem-statement, hypothesis, prd, user-stories, launch-checklist |
| Lean Startup |
Rapid validation |
hypothesis, experiment-design, experiment-results, pivot-decision |
| Triple Diamond |
Major initiatives |
Full 30 phase-skill flow across 6 phases |
| Customer Discovery |
Research synthesis |
Raw research into a validated problem statement |
| Sprint Planning |
Sprint prep |
Sprint-ready stories from a backlog |
Ad-hoc chains and building your own. When no curated workflow fits, /chain runs any ordered sequence of skills against shared context (ephemeral, checkpointed by default; it routes to the pm-workflow-orchestrator engine). If a chain proves reusable, utility-pm-workflow-builder guides you from that chain (or a fresh idea) to a complete draft workflow packet, staged for review before anything lands in the repo.
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Library Examples
Why Examples Matter More Than You Think
When you ask an AI to write a PRD, the output quality is anchored to its training data average. That average is mediocre. The examples in this library are the floor, not the ceiling. They are the quality signal your agent calibrates against before writing anything.
There are two layers of examples:
- Skill-level
EXAMPLE.md - every skill ships with a worked example sitting right next to the SKILL.md. This is what the agent reads at the moment it runs the skill.
- Library samples (
library/skill-output-samples/) - 200+ full outputs across three narrative threads. These are for you, not just the agent: read them before a skill run to calibrate expectations, or browse them to understand what a skill you haven’t used actually produces.
Varied Prompt Maturity to Reflect Reality
The samples in this library intentionally vary in how polished the prompts are… Some use carefully structured, multi-turn context; others are more direct single invocations. This was a deliberate choice for two reasons:
- To reflect real life. The AI tooling landscape is evolving fast. Product managers are figuring out what works in real time. A library full of “perfect” prompts would misrepresent how most people actually work with AI today.
- To lower the bar for experimentation. The goal of this library is to encourage you to try, not to intimidate you with a gallery of polished outputs. If a sample was produced with a rough prompt and still looks good, that’s a feature - it means the skill is doing the heavy lifting.
You’ll find a natural range across the samples:
- Direct invocations with minimal context (most Brainshelf samples, early-stage framing)
- Single-turn invocations with a short briefing paragraph (most Storevine samples)
- Multi-step structured invocations with full context blocks (most Workbench ADR and stakeholder samples)
Browse the library to find the level of maturity that matches your current practice - then experiment upward from there.
Three Narrative Threads Across Three Fictional Companies
The library isn’t a random collection of samples. It’s organized around three fictional companies that each operate at a different stage, in a different industry, with different PM challenges. Every sample belongs to one of these threads so you can follow a company’s product story across multiple skills.
Brainshelf - Early-Stage B2C Founder
- The company: Brainshelf builds a personal knowledge product - a tool for people who capture notes, articles, and ideas across too many apps and an never find them later. Think early-stage B2C, one PM who is also the founder, zero product-market fit certainty.
- Why this thread exists: Early-stage PM work looks different. Hypotheses are looser. Personas aren’t validated by a research team. Foundation Sprints and lean canvases matter more than full PRDs. The Brainshelf samples show how to use PM skills when you have more questions than answers.
- Best samples to start with: define-hypothesis, tool-foundation-sprint-basics, discover-interview-synthesis, tool-foundation-sprint-founding-hypothesis
Storevine - Mid-Stage E-Commerce PM
- The company: Storevine is a mid-market e-commerce SaaS platform. The PM running the checkout-conversion program is three years into the role, works with an engineering team of six, and is accountable to experiment velocity and revenue-per-visit metrics.
- Why this thread exists: Most PM skill work happens in the middle: running experiments, measuring results, writing PRDs for known problems, aligning stakeholders on tradeoffs. The Storevine samples represent the bread-and-butter PM output at a company with enough scale to run rigorous tests but without so much bureaucracy that every artifact becomes a political battle.
- Best samples to start with: deliver-prd, measure-experiment-design, measure-okr-grader, define-opportunity-tree
- The company: Workbench is the internal tooling and platform team at a 200-person organization moving from startup to scale. The PM’s “users” are internal employees and the “product” is the internal tooling layer - blueprints, automation, integrations.
- Why this thread exists: Internal-tools PM is its own discipline. Stakeholders are your co-workers. The cost of ignoring feedback is high because users are captive. ADRs matter more than press releases. Stakeholder updates go to department heads who have opinions. This thread shows PM skills applied to the least-glamorous-but-often-most-impactful area of product work.
- Best samples to start with: develop-adr, foundation-stakeholder-update, foundation-meeting-recap, iterate-retrospective
Browse the Library
Since product management is all about context, there are several ways for you to review the skills and outputs.
- By skill - organized by skill name: library/skill-output-samples/
- By company thread - follow one company’s story across multiple skills:
- By scenario - the “resurface” feature (Brainshelf), “campaigns” program (Storevine), and “blueprints” initiative (Workbench) recur across dozens of skills, so you can see how outputs connect and build on each other.
More resources:
- Skill Output Samples - All 200+ sample outputs organized by skill name. Browse to calibrate expectations before running a skill.
- Prompt Gallery - The prompts that generated many of the best library samples, annotated with what makes each one effective. A useful companion when you want to improve your own invocation patterns.
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Learning and Resources
PM-Skills isn’t just a skill repo. It ships with a full learning layer:
- Concept primers
- How-to guides
- Cheat sheets
- Case studies
- Recovery playbooks
- A prompt gallery
- … and 200+ real sample outputs.
Learn the Methodologies
These guides explain the why behind the workshop frameworks and PM practices this library encodes:
- Foundation Sprint concept primer - A Foundation Sprint is a structured 2-day workshop methodology developed by Jake Knapp and John Zeratsky for aligning early-stage teams before design begins. This primer explains what it is, when to run one, how the 7 skills fit together, and how it relates to the Design Sprint.
- Design Sprint concept primer - A Design Sprint is a structured 5-day process for understanding a problem, sketching solutions, building a prototype, and testing with real users. This primer covers the Google Ventures heritage, the 5-day arc as implemented in this skill family, and how it differs from running a physical workshop.
- Sprint skills overview - An orientation to both workshop tool families: how Foundation Sprint and Design Sprint relate to each other, to the Triple Diamond framework, and to the rest of the PM-Skills catalog. Start here if you are new to either methodology.
- Workshop sprints vs agile sprints - If your team runs Scrum or any other agile framework, read this before running either workshop methodology. The word “sprint” means two completely different things in these two contexts, and confusing them is the most common source of friction for new users.
Use Skills Effectively
- Using skills guide - Foundational guide to invoking skills across different agents, passing context effectively, and getting consistent outputs. Covers invocation patterns, context blocks, and how to recover from incomplete outputs.
- Using workflows - How to run multi-skill chains, handle handoffs between skills so context flows correctly, and adapt workflow sequences to your team’s specific process.
- Skill finder
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