Product-Manager-Skills
deanpeters · deanpeters/Product-Manager-Skills
Cung cấp 77 framework và quy trình quản lý sản phẩm đã được kiểm nghiệm cho các tác nhân AI như Claude Code, cải thiện chất lượng đầu ra trong các tác vụ PM.
Khung kỹ năng Quản lý sản phẩm được xây dựng dựa trên các phương pháp đã được kiểm nghiệm dành cho Claude Code, Cowork, Codex và các tác nhân AI.
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Bạn có thể làm gì với nó
- Soạn thảo một Tài liệu Yêu cầu Sản phẩm (PRD) toàn diện bằng tác nhân được hướng dẫn bởi các framework đã có.
- Phân tích ý tưởng sản phẩm về các chế độ thất bại tiềm năng và sự phù hợp thị trường với khả năng đánh giá PM nâng cao của tác nhân.
- Huấn luyện tác nhân tuân thủ các phương pháp phát triển sản phẩm cụ thể như Agile hoặc Scrum bằng cách sử dụng bộ kỹ năng được cung cấp.
Kiểm tra an toàn
Dùng được, nhưng nên đọc ghi chú trước.
- ●Không có giấy phép rõ ràng: hỏi tác giả trước khi dùng cho sản phẩm thương mại.
Quét tự động các file trong repo. Luôn xem lại code trước khi chạy.
Trích từ README
Product Manager Skills
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║ 77 battle-tested skills + 6 command workflows ║
║ Claude Code • Cursor • Codex • n8n • OpenClaw • and more ... ║
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║ v0.84 • August 10, 2026 • CC BY-NC-SA 4.0 ║
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77 battle-tested PM frameworks, ready for Claude, Codex, ChatGPT, and any agent that can read structured knowledge.
Why This Exists
Generic AI output is a PM's worst enemy. When you tell your agent "write a PRD" without shared context, you get a generic document that no stakeholder trusts and no engineer can act on.
This library gives both you and your AI agent the same professional foundation: the why behind each framework, the failure modes to avoid, and the judgment to apply them correctly. You stop repeating yourself. Your agent stops guessing. The work gets better.
The goal is dual — functional and pedagogic in equal measure. Skills equip agents to do PM work at a professional level, and they teach the human PM the reasoning behind each framework — so you can explain it, adapt it, and pass it on. Neither is a byproduct of the other.
What You Can Get Done
Navigate by what you're actually trying to accomplish:
Framing and strategy
- problem-framing-canvas — MITRE's Look Inward / Look Outward / Reframe sequence; stops teams from solving the wrong problem
- positioning-statement — Geoffrey Moore's template for defining who you serve, what you solve, and how you're different
- product-strategy-session — full strategy arc: positioning → problem framing → solution exploration → roadmap (2-4 weeks)
Stakeholder alignment
- stakeholder-identification — map every stakeholder before engaging anyone: broad brainstorm → allies/audiences/influencers → R/P/D marking → equity lens → narrow to priority targets
- stakeholder-mapping — run two complementary grids (Power × Interest for engagement strategy; Impact × Power for whose voice to elevate) and compare to find the gaps
- stakeholder-engagement-advisor — per-stakeholder engagement planning: diagnoses their profile and context, then delivers tailored message framing, medium, cadence, and a named next action
Customer discovery and research
- discovery-interview-prep — plans Mom Test-style interviews based on your research goals
- opportunity-solution-tree — generates opportunities and solutions, then recommends the best proof-of-concept to test first
- discovery-process — complete discovery cycle: frame → research → synthesize → validate (3-4 weeks)
Prioritization and roadmapping
- prioritization-advisor — asks 3-5 questions about your context, then recommends RICE, ICE, Kano, or the right alternative
- epic-breakdown-advisor — splits large epics using Richard Lawrence's 9 patterns
- roadmap-planning — gather inputs → define epics → prioritize → sequence → communicate (1-2 weeks)
Writing PM deliverables
- user-story — Mike Cohn format + Gherkin acceptance criteria, with anti-patterns
- prd-development — structured PRD: problem → personas → solution → metrics → stories (2-4 days)
- press-release — Amazon Working Backwards: clarify product vision before writing a line of spec
Validation and experimentation
- pol-probe-advisor — recommends which prototype type to run based on your hypothesis and risk level
- pol-probe — template for documenting lightweight validation experiments before building
Finance and growth
- business-health-diagnostic — diagnoses SaaS health across growth, retention, efficiency, and capital using your real metrics
- organic-growth-advisor — McKinsey Growth Pyramid triage: diagnoses whether your constraint is in new segments, geographies, channels, or products
- feature-investment-advisor — build / don't build recommendation using revenue impact, cost, ROI, and strategic value
Market and competitive intelligence
- intel-discipline-advisor — start here: triages the question on your desk into the right intelligence disciplines, cadence, and executing skill
- competitive-analysis-process — the six-step umbrella: landscape → product comparison → customer needs → business baseline → positioning → strategic direction
- The investigation chain: market-landscape-scan → [competitive-research-snapshot](skills/competitive-re