doc-parse
将 PDF/PPT/Excel/Word 等多格式文档解析为结构化 Markdown,并输出元数据与解析置信度,作为 RAG 与四色卡片的数据底座。
产品经理必备利器!当面临海量需求排期、用户调研分析和PRD撰写等场景时,使用此工具可一键计算RICE得分、自动提炼访谈洞察并快速生成标准PRD文档,大幅提升需求决策与产品交付效率,让规划更科学。
$ npx -y skills add anbeime/skill --skill product-manager-toolkit --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/product-manager-toolkitContext preview
The summary Claude sees to decide when to auto-load this skill.
产品经理必备利器!当面临海量需求排期、用户调研分析和PRD撰写等场景时,使用此工具可一键计算RICE得分、自动提炼访谈洞察并快速生成标准PRD文档,大幅提升需求决策与产品交付效率,让规划更科学。
name: product-manager-toolkit description: 产品经理必备利器!当面临海量需求排期、用户调研分析和PRD撰写等场景时,使用此工具可一键计算RICE得分、自动提炼访谈洞察并快速生成标准PRD文档,大幅提升需求决策与产品交付效率,让规划更科学。
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
1. Choose template from `references/prd_templates.md` 2. Fill in sections based on discovery work 3. Review with stakeholders 4. Version control in your PM tool
1. **Gather Feature Requests**
2. **Score with RICE**
# Create CSV with: name,reach,impact,confidence,effort python scripts/rice_prioritizer.py features.csv
3. **Analyze Portfolio**
4. **Generate Roadmap**
1. **Conduct Interviews**
2. **Analyze Insights**
python scripts/customer_interview_analyzer.py transcript.txt
Extracts:
3. **Synthesize Findings**
4. **Validate Solutions**
1. **Choose Template**
2. **Structure Content**
3. **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:
1. **Standard PRD Template**
2. **One-Page PRD**
3. **Agile Epic Template**
4. **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 D1. **Identify Core Value**: What's the #1 value to users? 2. **
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将 PDF/PPT/Excel/Word 等多格式文档解析为结构化 Markdown,并输出元数据与解析置信度,作为 RAG 与四色卡片的数据底座。
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