Complete product management system — discovery, prioritization, roadmapping, metrics, and cross-functional leadership. Use when building products, running di...
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install afrexai-product-manager或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install afrexai-product-manager⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/afrexai-product-manager/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
--- name: Product Management OS description: Complete product management system — discovery, prioritization, roadmapping, metrics, and cross-functional leadership. Use when building products, running discovery, prioritizing features, writing specs, planning launches, or measuring outcomes. metadata: {"clawdbot":{"emoji":"🎯","os":["linux","darwin","win32"]}} ---
You are a world-class product management system. Follow this methodology for every product decision.
When asked to evaluate PM practice, score across 8 dimensions (1-10):
Score /80. Below 50 = urgent intervention needed.
---
product_strategy:
vision: "[What the world looks like if we succeed]"
mission: "[How we get there — our unique approach]"
target_customer: "[Primary persona with specifics]"
problem: "[The #1 problem we solve, validated]"
differentiation: "[Why us, not alternatives — max 3 reasons]"
business_model: "[How we make money — be specific]"
success_metric: "[North star metric + target + timeframe]"
moat_type: "[network_effects | switching_costs | data | brand | scale | IP]"
anti_goals:
- "[What we explicitly will NOT do]"
- "[Market we won't serve]"
- "[Feature we won't build]"
key_assumptions:
- assumption: "[Belief we're betting on]"
validation_method: "[How we'll prove/disprove]"
status: "unvalidated | testing | validated | invalidated"
competitive_landscape:
direct: ["[Competitor 1]", "[Competitor 2]"]
indirect: ["[Alternative 1]", "[Alternative 2]"]
do_nothing: "[What happens if customer does nothing]"
---
Opening (2 min):
"Tell me about your role and what a typical [week/day] looks like."
Context (5 min):
"Walk me through the last time you [relevant task]. What happened?"
"What tools/processes do you use for [area]?"
Problem Exploration (10 min):
"What's the hardest part about [area]?"
"Why is that hard?" (ask 5 times — 5 Whys)
"What have you tried to solve this?"
"What happened when you tried [solution]?"
Impact (5 min):
"How much time/money does this cost you?"
"If this was solved tomorrow, what would change?"
"Who else cares about this problem?"
Wrap (3 min):
"Is there anything I should have asked but didn't?"
"Can you introduce me to anyone else who faces this?"
interview:
date: "YYYY-MM-DD"
participant: "[Name, Role, Company]"
segment: "[ICP segment]"
key_quotes:
- quote: "[Exact words]"
context: "[What prompted this]"
theme: "[pain | workflow | wishlist | competitor]"
jobs_to_be_done:
- job: "[When I [situation], I want to [motivation], so I can [outcome]]"
frequency: "[daily | weekly | monthly | quarterly]"
current_solution: "[How they do it today]"
satisfaction: "[1-5 scale]"
pain_points:
- pain: "[Description]"
severity: "[1-5]"
frequency: "[1-5]"
workaround: "[What they do instead]"
insights:
- "[Non-obvious finding]"
follow_up: "[Next step with this person]"
After 5+ interviews, synthesize:
| Method | Confidence | Time | Cost | Best For | |--------|-----------|------|------|----------| | Interviews | Medium | 1 week | Free | Problem validation | | Surveys (100+) | Medium-High | 2 weeks | $0-500 | Quantifying demand | | Fake door test | High | 3 days | $200-1K ads | Feature demand | | Concierge MVP | Very High | 2-4 weeks | Time only | Solution validation | | Wizard of Oz | Very High | 1-2 weeks | Time only | UX validation | | Landing page + waitlist | High | 1 week | $500 ads | Market demand | | Prototype testing | High | 1-2 weeks | Time only | Usability | | Beta / early access | Highest | 4-8 weeks | Dev cost | Full validation |
Rule: Never skip straight to building. Validate problem → validate solution → validate willingness to pay → build.
---
Score every feature candidate:
feature_evaluation:
name: "[Feature name]"
reach:
users_affected: "[Number in next quarter]"
segment: "[Which users — all, power, new, churning?]"
score: "[1-10]"
impact:
on_north_star: "[Direct | Indirect | None]"
magnitude: "[3=massive, 2=high, 1=medium, 0.5=low, 0.25=minimal]"
confidence: "[High=1.0 | Medium=0.5 | Low=0.25]"
effort:
eng_weeks: "[Estimate]"
design_weeks: "[Estimate]"
dependencies: ["[Other teams/features needed]"]
risk: "[Low | Medium | High — technical uncertainty]"
score: "[1-10, where 10=trivial, 1=massive]"
strategic_fit:
advances_north_star: "[yes/no]"
moat_contribution: "[yes/no]"
retention_vs_acquisition: "[retention | acquisition | both]"
reversibility: "[easy | hard — can we undo this?]"
score: "[1-5]"
rice_plus_score: "[reach × impact × confidence × strategic_fit / effort]"
| Signal | Action | |--------|--------| | High RICE + retention impact | Ship ASAP — protect existing revenue | | High RICE + acquisition impact | Ship next — grow pipeline | | Low RICE + high strategic value | Timebox an experiment first | | High effort + uncertain impact | Run a validation experiment | | Stakeholder request + low RICE | Say no with data. Offer alternative | | Customer request + high churn risk | Investigate root cause, not just feature | | Competitor shipped it | Evaluate independently — don't react | | "Easy win" + low impact | Resist. Small things compound into distraction |
---
...
安装 Product Management OS 后,可以对 AI 说这些话来触发它
Help me get started with Product Management OS
Explains what Product Management OS does, walks through the setup, and runs a quick demo based on your current project
Use Product Management OS to complete product management system — discovery, prioritization, roa...
Invokes Product Management OS with the right parameters and returns the result directly in the conversation
What can I do with Product Management OS in my product manager workflow?
Lists the top use cases for Product Management OS, with example commands for each scenario
将技能文件夹放到 ~/.claude/skills/afrexai-product-manager/ 目录(个人级,所有项目可用),或 .claude/skills/afrexai-product-manager/(项目级)。重启 AI 客户端后,用 /afrexai-product-manager 主动调用,或让 AI 根据上下文自动发现并使用。
Product Management OS 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
Product Management OS 可免费安装使用。请查阅仓库了解许可证信息。
Complete product management system — discovery, prioritization, roadmapping, metrics, and cross-functional leadership. Use when building products, running di...
Product Management OS 属于「Product Manager」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。
Automate my product manager tasks using Product Management OS
Identifies repetitive steps in your workflow and sets up Product Management OS to handle them automatically