product-manager-toolkit by davila7/claude-code-templates
npx skills add https://github.com/davila7/claude-code-templates --skill product-manager-toolkit现代产品管理从探索到交付的必备工具和框架。
python scripts/rice_prioritizer.py sample # 创建示例 CSV
python scripts/rice_prioritizer.py sample_features.csv --capacity 15
python scripts/customer_interview_analyzer.py interview_transcript.txt
references/prd_templates.md 中选择模板收集功能需求
使用 RICE 评分
# 创建包含以下字段的 CSV:name,reach,impact,confidence,effort
python scripts/rice_prioritizer.py features.csv
广告位招租
在这里展示您的产品或服务
触达数万 AI 开发者,精准高效
分析产品组合
生成路线图
进行访谈
分析洞察
python scripts/customer_interview_analyzer.py transcript.txt
提取内容:
* 痛点及严重程度
* 功能需求及优先级
* 待完成工作
* 情感分析
* 关键主题和引用
3. 综合发现
* 分组相似的痛点
* 识别跨访谈的模式
* 映射到机会领域
4. 验证解决方案
* 创建解决方案假设
* 使用原型进行测试
* 测量实际与预期行为
选择模板
结构化内容
协作
具有产品组合分析功能的高级 RICE 框架实现。
功能 :
使用示例 :
# 基础优先级排序
python scripts/rice_prioritizer.py features.csv
# 自定义团队容量 (每季度人月)
python scripts/rice_prioritizer.py features.csv --capacity 20
# 输出 JSON 格式以便集成
python scripts/rice_prioritizer.py features.csv --output json
基于自然语言处理的访谈分析,用于提取可操作的洞察。
能力 :
使用示例 :
# 分析单个访谈
python scripts/customer_interview_analyzer.py interview.txt
# 输出 JSON 格式以便聚合
python scripts/customer_interview_analyzer.py interview.txt json
适用于不同场景的多种产品需求文档格式:
标准产品需求文档模板
单页产品需求文档
敏捷史诗模板
功能简报
Score = (Reach × Impact × Confidence) / Effort
Reach: 用户数/季度
Impact:
- Massive = 3x
- High = 2x
- Medium = 1x
- Low = 0.5x
- Minimal = 0.25x
Confidence:
- High = 100%
- Medium = 80%
- Low = 50%
Effort: 人月
Low Effort High Effort
High QUICK WINS BIG BETS
Value [Prioritize] [Strategic]
Low FILL-INS TIME SINKS
Value [Maybe] [Avoid]
1. 背景问题 (5 分钟)
- 角色和职责
- 当前工作流程
- 使用的工具
2. 问题探索 (15 分钟)
- 痛点
- 频率和影响
- 当前变通方案
3. 解决方案验证 (10 分钟)
- 对概念的反应
- 价值感知
- 支付意愿
4. 总结 (5 分钟)
- 其他想法
- 推荐
- 后续许可
We believe that [building this feature]
For [these users]
Will [achieve this outcome]
We'll know we're right when [metric]
Outcome
├── Opportunity 1
│ ├── Solution A
│ └── Solution B
└── Opportunity 2
├── Solution C
└── Solution D
Acquisition → Activation → Retention → Revenue → Referral
Key Metrics:
- Conversion rate at each step
- Drop-off points
- Time between steps
- Cohort variations
此工具包可与以下系统集成:
# 优先级排序
python scripts/rice_prioritizer.py features.csv --capacity 15
# 访谈分析
python scripts/customer_interview_analyzer.py interview.txt
# 创建示例数据
python scripts/rice_prioritizer.py sample
# 用于集成的 JSON 输出
python scripts/rice_prioritizer.py features.csv --output json
python scripts/customer_interview_analyzer.py interview.txt json
每周安装量
330
代码仓库
GitHub 星标数
23.4K
首次出现
Jan 21, 2026
安全审计
安装于
gemini-cli274
opencode274
codex254
github-copilot237
claude-code236
cursor235
Essential tools and frameworks for modern product management, from discovery to delivery.
python scripts/rice_prioritizer.py sample # Create sample CSV
python scripts/rice_prioritizer.py sample_features.csv --capacity 15
python scripts/customer_interview_analyzer.py interview_transcript.txt
references/prd_templates.mdGather Feature Requests
Score with RICE
# Create CSV with: name,reach,impact,confidence,effort
python scripts/rice_prioritizer.py features.csv
Analyze Portfolio
Generate Roadmap
Conduct Interviews
Analyze Insights
python scripts/customer_interview_analyzer.py transcript.txt
Extracts:
* Pain points with severity
* Feature requests with priority
* Jobs to be done
* Sentiment analysis
* Key themes and quotes
3. Synthesize Findings
* Group similar pain points
* Identify patterns across interviews
* Map to opportunity areas
4. Validate Solutions
* Create solution hypotheses
* Test with prototypes
* Measure actual vs expected behavior
Choose Template
Structure Content
Collaborate
Advanced RICE framework implementation with portfolio analysis.
Features :
Usage Examples :
# Basic prioritization
python scripts/rice_prioritizer.py features.csv
# With custom team capacity (person-months per quarter)
python scripts/rice_prioritizer.py features.csv --capacity 20
# Output as JSON for integration
python scripts/rice_prioritizer.py features.csv --output json
NLP-based interview analysis for extracting actionable insights.
Capabilities :
Usage Examples :
# Analyze single interview
python scripts/customer_interview_analyzer.py interview.txt
# Output as JSON for aggregation
python scripts/customer_interview_analyzer.py interview.txt json
Multiple PRD formats for different contexts:
Standard PRD Template
One-Page PRD
Agile Epic Template
Feature Brief
Score = (Reach × Impact × Confidence) / Effort
Reach: # of users/quarter
Impact:
- Massive = 3x
- High = 2x
- Medium = 1x
- Low = 0.5x
- Minimal = 0.25x
Confidence:
- High = 100%
- Medium = 80%
- Low = 50%
Effort: Person-months
Low Effort High Effort
High QUICK WINS BIG BETS
Value [Prioritize] [Strategic]
Low FILL-INS TIME SINKS
Value [Maybe] [Avoid]
1. Context Questions (5 min)
- Role and responsibilities
- Current workflow
- Tools used
2. Problem Exploration (15 min)
- Pain points
- Frequency and impact
- Current workarounds
3. Solution Validation (10 min)
- Reaction to concepts
- Value perception
- Willingness to pay
4. Wrap-up (5 min)
- Other thoughts
- Referrals
- Follow-up permission
We believe that [building this feature]
For [these users]
Will [achieve this outcome]
We'll know we're right when [metric]
Outcome
├── Opportunity 1
│ ├── Solution A
│ └── Solution B
└── Opportunity 2
├── Solution C
└── Solution D
Acquisition → Activation → Retention → Revenue → Referral
Key Metrics:
- Conversion rate at each step
- Drop-off points
- Time between steps
- Cohort variations
This toolkit integrates with:
# Prioritization
python scripts/rice_prioritizer.py features.csv --capacity 15
# Interview Analysis
python scripts/customer_interview_analyzer.py interview.txt
# Create sample data
python scripts/rice_prioritizer.py sample
# JSON outputs for integration
python scripts/rice_prioritizer.py features.csv --output json
python scripts/customer_interview_analyzer.py interview.txt json
Weekly Installs
330
Repository
GitHub Stars
23.4K
First Seen
Jan 21, 2026
Security Audits
Gen Agent Trust HubFailSocketPassSnykPass
Installed on
gemini-cli274
opencode274
codex254
github-copilot237
claude-code236
cursor235
注册流程转化率优化指南:减少摩擦、提高完成率的专家技巧
25,000 周安装