Token导航 LogoToken导航TokenDH.com
研究检索需要联网clawhub未标认证来源可访问clear审计通过

cpo-advisor首席采购官顾问

Agent Skill

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。

总安装

11,344

周安装

468

GitHub Stars

公开资料未说明

下载量

3,707
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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]

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills