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Agent Skill · 研究检索

product-strategist(产品策略师)

product-strategist 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

product-strategist 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,674 个 Skill 里排第 53,999。

总安装 517周安装 22GitHub Stars 公开资料未说明下载 181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

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:product-strategist(产品策略师)
来源仓库:https://github.com/rickydwilson-dcs/claude-skills
仓库路径:skills/product-strategist
安装命令:
npx skills add rickydwilson-dcs/claude-skills --skill "product-strategist"
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 npx skills 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。

AgentSkills.tonpx skills
npx skills add rickydwilson-dcs/claude-skills --skill "product-strategist"

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。

product-strategist 用于查找、检索和筛选相关信息,支持产品战略规划。适用于 Codex、Claude、Cursor、Gemini CLI 中根据任务线索定位行业趋势或竞争格局。通过 npx 命令从 rickydwilson-dcs/claude-skills 仓库安装并使用该技能。

安装前需验证仓库路径和技能名称,注意潜在的数据抓取和网络请求权限。建议结合原始 README 了解分析模型和输出格式后再部署使用。

来源仓库内路径:skills/product-strategist

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add rickydwilson-dcs/claude-skills --skill "product-strategist";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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

product-strategist 怎么安装?

在终端执行 npx skills add rickydwilson-dcs/claude-skills --skill "product-strategist"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

product-strategist 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

product-strategist 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

product-strategist 是免费的吗?

来源标注的许可证是 MIT。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。

product-strategist 用的人多吗?

公开数据是累计安装 517 次,近一周安装 22 次,下载 181 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。

product-strategist 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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 Codex,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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 要求有安全扫描结论才肯安装的团队。
  • 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
product-strategist

产品策略师 · 本页

517—只读MIT未收录

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
product-strategist
title
Product Strategist Skill Package
description
Strategic product leadership toolkit for Head of Product including OKR cascade generation, market analysis, vision setting, and team scaling. Use for strategic planning, goal alignment, competitive analysis, and organizational design.
domain
product
subdomain
product-management
difficulty
intermediate
time-saved
TODO: Quantify time savings
frequency
TODO: Estimate usage frequency
use-cases
related-agents
[]
related-skills
[]
related-commands
[]
orchestrated-by
[]
dependencies
scripts
[]
references
[]
assets
[]
compatibility
python-version
3.8+
platforms
[macos, linux, windows]
tech-stack
[Python 3.8+, CLI, JSON export, Alignment scoring]
examples
title
Example Usage
input
TODO: Add example input for product-strategist
output
TODO: Add expected output
stats
downloads
0
stars
0
rating
0.0
reviews
0
version
v1.0.0
author
Claude Skills Team
contributors
[]
created
2025-10-19
updated
2025-11-08
license
MIT
tags
[analysis, design, product, strategist]
featured
false
verified
true

Product Strategist

Overview

This skill provides [TODO: Add 2-3 sentence overview].

Core Value: [TODO: Add value proposition with metrics]

Target Audience: [TODO: Define target users]

Use Cases: [TODO: List 3-5 primary use cases]

Core Capabilities

  • [Capability 1] - [Description]
  • [Capability 2] - [Description]
  • [Capability 3] - [Description]
  • [Capability 4] - [Description]

Key Workflows

Workflow 1: [Workflow Name]

Time: [Duration estimate]

Steps:

  1. [Step 1]
  2. [Step 2]
  3. [Step 3]

Expected Output: [What success looks like]

Workflow 2: [Workflow Name]

Time: [Duration estimate]

Steps:

  1. [Step 1]
  2. [Step 2]
  3. [Step 3]

Expected Output: [What success looks like]

Strategic toolkit for Head of Product to drive vision, alignment, and organizational excellence. This skill provides Python tools for OKR cascading, comprehensive frameworks for strategy development, and battle-tested templates for vision documents and strategic planning.

What This Skill Provides:

  • OKR cascade generator with alignment tracking
  • Strategic planning frameworks (growth, retention, revenue, innovation, operational)
  • Market analysis and competitive positioning methods
  • Team scaling and organizational design patterns
  • North Star metric framework

Best For:

  • Cascading company OKRs to product and team levels
  • Strategic planning and quarterly goal-setting
  • Market analysis and competitive positioning
  • Team scaling and organizational design
  • Aligning product strategy with business objectives

Quick Start

Generate OKR Cascade

# Growth strategy
python scripts/okr_cascade_generator.py growth

# Retention strategy
python scripts/okr_cascade_generator.py retention

# Revenue strategy
python scripts/okr_cascade_generator.py revenue

OKR Structure

Objective: Inspiring, qualitative goal (what you want to achieve) Key Results: 2-5 measurable outcomes (how you'll know you achieved it)

Objective: Become #1 platform for mid-market sales teams

Key Result 1: Increase enterprise signups from 50 to 200/month
Key Result 2: Improve NPS from 35 to 50
Key Result 3: Achieve 95% retention rate (up from 88%)

See frameworks.md for complete OKR methodology.

Core Workflows

1. Quarterly OKR Planning Process

Steps:

  1. Define company strategic priorities
  2. Generate OKR cascade: python scripts/okr_cascade_generator.py [strategy]
  3. Review alignment scores (target: >75%)
  4. Customize OKRs to your context
  5. Assign owners and set tracking dashboards
  6. Review weekly, grade quarterly

OKR Cascade Levels:

  • Company: 3-5 objectives, 3 key results each
  • Product: 2-3 objectives aligned to company
  • Team: 1-2 objectives per team

Alignment Scoring:

  • 90-100%: Excellent alignment
  • 75-89%: Good alignment
  • 60-74%: Moderate (review)
  • <60%: Poor (needs revision)

Detailed Framework: See frameworks.md for OKR structure, scoring, and review cadence.

Templates: See templates.md for company, product, and team OKR templates.

2. Strategic Planning Process

Annual Planning:

  1. Analyze market position (TAM/SAM/SOM)
  2. Conduct competitive analysis
  3. Define strategic priorities (3-5 max)
  4. Create product vision document
  5. Set annual OKRs and quarterly themes
  6. Plan resources and hiring

Strategy Types:

  • Growth: User/revenue acquisition
  • Retention: LTV and churn reduction
  • Revenue: Monetization optimization
  • Innovation: New products/markets
  • Operational: Efficiency and scale

Strategy Selection Tool:

python scripts/okr_cascade_generator.py [growth|retention|revenue|innovation|operational]

Detailed Frameworks: See frameworks.md for each strategy type, market analysis methods, and vision-setting.

Templates: See templates.md for annual strategic plan and product vision document templates.

3. Team Scaling Process

Hiring Planning:

  1. Calculate team capacity needs
  2. Define team structure (feature vs component teams)
  3. Create hiring plan (roles, timeline, budget)
  4. Design team charters
  5. Set success metrics per team

Team Structure Patterns:

  • Feature Teams: Own end-to-end product area (recommended)
  • Platform Teams: Provide internal services
  • Enabling Teams: Help others overcome obstacles

PM-to-Engineer Ratios:

  • Early stage: 1 PM : 3-5 engineers
  • Scaling: 1 PM : 6-10 engineers
  • Enterprise: 1 PM : 8-12 engineers

Detailed Frameworks: See frameworks.md for team topologies, Spotify model, Conway's Law implications.

Templates: See templates.md for hiring plans and team charter templates.

Python Tools

okr_cascade_generator.py

Automated OKR hierarchy generator with alignment tracking.

Key Features:

  • 5 pre-built strategy templates
  • Three-level cascade (company → product → team)
  • Alignment score calculation
  • Contribution percentage tracking
  • Multiple output formats (text, JSON, CSV)
  • Detailed metric definitions

Usage:

# Generate growth strategy OKRs
python3 scripts/okr_cascade_generator.py growth

# With detailed metrics
python3 scripts/okr_cascade_generator.py growth --metrics

# JSON output for dashboards
python3 scripts/okr_cascade_generator.py growth -o json -f okrs.json

# CSV for spreadsheets
python3 scripts/okr_cascade_generator.py growth -o csv -f okrs.csv

# Verbose mode (detailed explanations)
python3 scripts/okr_cascade_generator.py growth -v

Available Strategies:

  • growth: User acquisition and market expansion
  • retention: Customer LTV and churn reduction
  • revenue: Monetization and ARPU optimization
  • innovation: New products and market opportunities
  • operational: Efficiency, scalability, technical excellence

Output Includes:

  • Company-level objectives and key results
  • Product-level OKRs with alignment scores
  • Team-level OKRs with contribution percentages
  • Metric definitions and tracking guidance

Complete Documentation: See tools.md for full usage guide, strategy templates, and integration patterns.

okr_lifecycle.py

OKR lifecycle manager for tracking progress throughout the quarter.

Key Features:

  • Weekly check-ins with progress tracking
  • Progress dashboard with health scores
  • Initiative linking and coverage analysis
  • End-of-quarter grading (0.0-1.0 scale)
  • Retrospective generation
  • Quarter-over-quarter comparison

Usage:

# Record weekly check-in
python3 scripts/okr_lifecycle.py checkin okrs.json CO-1-KR1 108000 --confidence 0.8 --notes "Strong week"

# View progress dashboard
python3 scripts/okr_lifecycle.py status okrs.json

# Link initiative to KR
python3 scripts/okr_lifecycle.py initiatives okrs.json link --kr-id CO-1-KR1 --name "Q1 Campaign" --contribution 40

# Grade all KRs at end of quarter
python3 scripts/okr_lifecycle.py grade okrs.json --all --auto

# Generate retrospective
python3 scripts/okr_lifecycle.py retro okrs.json

# Compare quarters
python3 scripts/okr_lifecycle.py compare q1_okrs.json q4_okrs.json

Subcommands:

  • checkin: Record weekly progress (value, confidence, notes)
  • status: View progress dashboard with health scores
  • initiatives: Link KRs to projects/epics, track coverage
  • grade: End-of-quarter scoring (0.0-1.0 scale)
  • retro: Generate retrospective analysis
  • compare: Quarter-over-quarter trend analysis

Scoring Scale (from OKR methodology):

ScoreStatusMeaning
0.0-0.3RedSignificant miss
0.4-0.6YellowMade progress but fell short
0.7-0.9GreenAchieved, stretch goal hit
1.0ExceededToo easy, raise bar next time

Workflow Integration:

  1. Create OKRs: python3 scripts/okr_cascade_generator.py growth -o json -f okrs.json
  2. Weekly: python3 scripts/okr_lifecycle.py checkin okrs.json <KR_ID> <value>
  3. Check status: python3 scripts/okr_lifecycle.py status okrs.json
  4. End of quarter: python3 scripts/okr_lifecycle.py grade okrs.json --all --auto
  5. Retrospective: python3 scripts/okr_lifecycle.py retro okrs.json

Reference Documentation

Frameworks (frameworks.md)

Comprehensive strategic frameworks:

  • OKR Framework: Structure, scoring, cascading, review cadence
  • Strategy Cascade: Growth, retention, revenue, innovation, operational strategies
  • Market Analysis: Competitive matrix, Porter's Five Forces, TAM/SAM/SOM
  • Vision Setting: Vision statement format, strategy canvas, Blue Ocean strategy
  • Team Scaling: Team topologies, Spotify model, Conway's Law, scaling principles
  • North Star Metric: Finding your North Star, input metrics, framework template

Templates (templates.md)

Ready-to-use templates:

  • OKR Templates: Company-level, product team, complete examples
  • Strategic Planning: Annual strategic plan, product vision document
  • Team Scaling: Hiring plan, team charter templates
  • Example OKRs: Complete examples for each strategy type

Tools (tools.md)

Python tool documentation:

  • okr_cascade_generator.py: Complete usage guide
  • Strategy Templates: Detailed description of each strategy
  • Output Formats: Text, JSON, CSV examples
  • Alignment Scoring: Formula and interpretation
  • Contribution Tracking: How percentages are calculated
  • Integration Patterns: Dashboard, spreadsheet, Confluence, Slack
  • Customization Guide: Modifying templates and alignment weights
  • Troubleshooting: Common issues and solutions

Integration Points

This toolkit integrates with:

  • OKR Tools: Lattice, 15Five, Workboard, Ally.io
  • Analytics: Amplitude, Mixpanel, Tableau, Looker
  • Documentation: Confluence, Notion, Google Docs
  • Collaboration: Slack, Teams, Miro
  • Project Management: Jira, Asana, Monday.com

See tools.md for detailed integration workflows.

Quick Commands

# Generate OKRs for different strategies
python scripts/okr_cascade_generator.py growth
python scripts/okr_cascade_generator.py retention
python scripts/okr_cascade_generator.py revenue
python scripts/okr_cascade_generator.py innovation
python scripts/okr_cascade_generator.py operational

# With metric definitions
python scripts/okr_cascade_generator.py growth --metrics

# Export formats
python scripts/okr_cascade_generator.py growth -o json -f okrs.json
python scripts/okr_cascade_generator.py growth -o csv -f okrs.csv

# Verbose output
python scripts/okr_cascade_generator.py growth -v

平台分布

Claude Code

30.24%
按下载量换算55

windsurf

23.17%
按下载量换算42

trae

18.18%
按下载量换算33

OpenCode

12.16%
按下载量换算22

Codex

8.77%
按下载量换算16

Antigravity

3.69%
按下载量换算7

安全审计

暂无安全审计结果可展示。

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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