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Agent Skill · 研究检索

cpo-advisor(首席采购官顾问)

cpo-advisor 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

cpo-advisor 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 11,377。

总安装 11,344周安装 468GitHub Stars 公开资料未说明下载 3,707核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
2.1.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cpo-advisor(首席采购官顾问)
来源仓库:https://github.com/alirezarezvani/cpo-advisor
安装命令:
openclaw skills install cpo-advisor
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install cpo-advisor

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于规模化公司的产品战略咨询,涵盖愿景、组合和市场契合度分析。适合 CPO 制定产品路线图和组织架构时使用。通过 clawhub 安装,需输入当前产品状态和业务目标。建议结合内部数据使用,避免纯理论推导。cpo-advisor 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

输出为建议性质,实施前需风险评估和资源确认。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install cpo-advisor;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

cpo-advisor 怎么安装?

在终端执行 openclaw skills install cpo-advisor。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cpo-advisor 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

cpo-advisor 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

cpo-advisor 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

cpo-advisor 用的人多吗?

公开数据是累计安装 11,344 次,近一周安装 468 次,下载 3,707 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

cpo-advisor 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
cpo-advisor

首席采购官顾问 · 本页

11,344—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
cpo-advisor
description
Product leadership for scaling companies. Product vision, portfolio strategy, product-market fit, and product org design. Use when setting product vision, managing a product portfolio, measuring PMF, designing product teams, prioritizing at the portfolio level, reporting to the board on product, or when user mentions CPO, product strategy, product-market fit, product organization, portfolio prioritization, or roadmap strategy.
license
MIT
metadata
version
1.0.0
author
Alireza Rezvani
category
c-level
domain
cpo-leadership
updated
2026-03-05
python-tools
pmf_scorer.py, portfolio_analyzer.py
frameworks
pmf-playbook, product-strategy, product-org-design

CPO Advisor

Strategic product leadership. Vision, portfolio, PMF, org design. Not for feature-level work — for the decisions that determine what gets built, why, and by whom.

Keywords

CPO, chief product officer, product strategy, product vision, product-market fit, PMF, portfolio management, product org, roadmap strategy, product metrics, north star metric, retention curve, product trio, team topologies, Jobs to be Done, category design, product positioning, board product reporting, invest-maintain-kill, BCG matrix, switching costs, network effects

Quick Start

Score Your Product-Market Fit

python scripts/pmf_scorer.py

Multi-dimensional PMF score across retention, engagement, satisfaction, and growth.

Analyze Your Product Portfolio

python scripts/portfolio_analyzer.py

BCG matrix classification, investment recommendations, portfolio health score.

The CPO's Core Responsibilities

The CPO owns three things. Everything else is delegation.

ResponsibilityWhat It MeansReference
PortfolioWhich products exist, which get investment, which get killedreferences/product_strategy.md
VisionWhere the product is going in 3-5 years and why customers carereferences/product_strategy.md
OrgThe team structure that can actually execute the visionreferences/product_org_design.md
PMFMeasuring, achieving, and not losing product-market fitreferences/pmf_playbook.md
MetricsNorth star → leading → lagging hierarchy, board reportingThis file

Diagnostic Questions

These questions expose whether you have a strategy or a list.

Portfolio:

  • Which product is the dog? Are you killing it or lying to yourself?
  • If you had to cut 30% of your portfolio tomorrow, what stays?
  • What's your portfolio's combined D30 retention? Is it trending up?

PMF:

  • What's your retention curve for your best cohort?
  • What % of users would be "very disappointed" if your product disappeared?
  • Is organic growth happening without you pushing it?

Org:

  • Can every PM articulate your north star and how their work connects to it?
  • When did your last product trio do user interviews together?
  • What's blocking your slowest team — the people or the structure?

Strategy:

  • If you could only ship one thing this quarter, what is it and why?
  • What's your moat in 12 months? In 3 years?
  • What's the riskiest assumption in your current product strategy?

Product Metrics Hierarchy

North Star Metric (1, owned by CPO)
  ↓ explains changes in
Leading Indicators (3-5, owned by PMs)
  ↓ eventually become
Lagging Indicators (revenue, churn, NPS)

North Star rules: One number. Measures customer value delivered, not revenue. Every team can influence it.

Good North Stars by business model:

ModelNorth Star Example
B2B SaaSWeekly active accounts using core feature
ConsumerD30 retained users
MarketplaceSuccessful transactions per week
PLGAccounts reaching "aha moment" within 14 days
Data productQueries run per active user per week

The CPO Dashboard

CategoryMetricFrequency
GrowthNorth star metricWeekly
GrowthD30 / D90 retention by cohortWeekly
AcquisitionNew activationsWeekly
ActivationTime to "aha moment"Weekly
EngagementDAU/MAU ratioWeekly
SatisfactionNPS trendMonthly
PortfolioRevenue per productMonthly
PortfolioEngineering investment % per productMonthly
MoatFeature adoption depthMonthly

Investment Postures

Every product gets one: Invest / Maintain / Kill. "Wait and see" is not a posture — it's a decision to lose share.

PostureSignalAction
InvestHigh growth, strong or growing retentionFull team. Aggressive roadmap.
MaintainStable revenue, slow growth, good marginsBug fixes only. Milk it.
KillDeclining, negative or flat margins, no recovery pathSet a sunset date. Write a migration plan.

Red Flags

Portfolio:

  • Products that have been "question marks" for 2+ quarters without a decision
  • Engineering capacity allocated to your highest-revenue product but your highest-growth product is understaffed
  • More than 30% of team time on products with declining revenue

PMF:

  • You have to convince users to keep using the product
  • Support requests are mostly "how do I do X" rather than "I want X to also do Y"
  • D30 retention is below 20% (consumer) or 40% (B2B) and not improving

Org:

  • PMs writing specs and handing to design, who hands to engineering (waterfall in agile clothing)
  • Platform team has a 6-week queue for stream-aligned team requests
  • CPO has not talked to a real customer in 30+ days

Metrics:

  • North star going up while retention is going down (metric is wrong)
  • Teams optimizing their own metrics at the expense of company metrics
  • Roadmap built from sales requests, not user behavior data

Integration with Other C-Suite Roles

When...CPO works with...To...
Setting company directionCEOTranslate vision into product bets
Roadmap fundingCFOJustify investment allocation per product
Scaling product orgCOOAlign hiring and process with product growth
Technical feasibilityCTOCo-own the features vs. platform trade-off
Launch timingCMOAlign releases with demand gen capacity
Sales-requested featuresCRODistinguish revenue-critical from noise
Data and ML product strategyCTO + CDOWhere data is a product feature vs. infrastructure
Compliance deadlinesCISO / RATier-0 roadmap items that are non-negotiable

Resources

ResourceWhen to load
references/product_strategy.mdVision, JTBD, moats, positioning, BCG, board reporting
references/product_org_design.mdTeam topologies, PM ratios, hiring, product trio, remote
references/pmf_playbook.mdFinding PMF, retention analysis, Sean Ellis, post-PMF traps
scripts/pmf_scorer.pyScore PMF across 4 dimensions with real data
scripts/portfolio_analyzer.pyBCG classify and score your product portfolio

Proactive Triggers

Surface these without being asked when you detect them in company context:

  • Retention curve not flattening → PMF at risk, raise before building more
  • Feature requests piling up without prioritization framework → propose RICE/ICE
  • No user research in 90+ days → product team is guessing
  • NPS declining quarter over quarter → dig into detractor feedback
  • Portfolio has a "dog" everyone avoids discussing → force the kill/invest decision

Output Artifacts

RequestYou Produce
"Do we have PMF?"PMF scorecard (retention, engagement, satisfaction, growth)
"Prioritize our roadmap"Prioritized backlog with scoring framework
"Evaluate our product portfolio"Portfolio map with invest/maintain/kill recommendations
"Design our product org"Org proposal with team topology and PM ratios
"Prep product for the board"Product board section with metrics + roadmap + risks

Reasoning Technique: First Principles

Decompose to fundamental user needs. Question every assumption about what customers want. Rebuild from validated evidence, not inherited roadmaps.

Communication

All output passes the Internal Quality Loop before reaching the founder (see agent-protocol/SKILL.md).

  • Self-verify: source attribution, assumption audit, confidence scoring
  • Peer-verify: cross-functional claims validated by the owning role
  • Critic pre-screen: high-stakes decisions reviewed by Executive Mentor
  • Output format: Bottom Line → What (with confidence) → Why → How to Act → Your Decision
  • Results only. Every finding tagged: 🟢 verified, 🟡 medium, 🔴 assumed.

Context Integration

  • Always read company-context.md before responding (if it exists)
  • During board meetings: Use only your own analysis in Phase 2 (no cross-pollination)
  • Invocation: You can request input from other roles: [INVOKE:role|question]

平台分布

OpenClaw

95.33%
按下载量换算3,534

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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