AgentSkillsCN

product-manager-toolkit

为产品经理打造全方位的工具箱，涵盖 RICE 优先级排序、客户访谈分析、PRD 模板、探索框架以及上市策略。适用于功能优先级排序、

SKILL.md
--- frontmatter
name: product-manager-toolkit
description: Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use for feature prioritization,
category: Document Processing
source: antigravity
tags: [python, react, ai, workflow, template, design, document, cro]
url: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/product-manager-toolkit

Product Manager Toolkit

Essential tools and frameworks for modern product management, from discovery to delivery.

Quick Start

For Feature Prioritization

bash
python scripts/rice_prioritizer.py sample  # Create sample CSV
python scripts/rice_prioritizer.py sample_features.csv --capacity 15

For Interview Analysis

bash
python scripts/customer_interview_analyzer.py interview_transcript.txt

For PRD Creation

  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

Core Workflows

Feature Prioritization Process

  1. •

    Gather Feature Requests

    • •Customer feedback
    • •Sales requests
    • •Technical debt
    • •Strategic initiatives
  2. •

    Score with RICE

    bash
    # Create CSV with: name,reach,impact,confidence,effort
python scripts/rice_prioritizer.py features.csv
    • •Reach: Users affected per quarter
    • •Impact: massive/high/medium/low/minimal
    • •Confidence: high/medium/low
    • •Effort: xl/l/m/s/xs (person-months)
  3. •

    Analyze Portfolio

    • •Review quick wins vs big bets
    • •Check effort distribution
    • •Validate against strategy
  4. •

    Generate Roadmap

    • •Quarterly capacity planning
    • •Dependency mapping
    • •Stakeholder alignment

Customer Discovery Process

  1. •

    Conduct Interviews

    • •Use semi-structured format
    • •Focus on problems, not solutions
    • •Record with permission
  2. •

    Analyze Insights

    bash
    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

PRD Development Process

  1. •

    Choose Template

    • •Standard PRD: Complex features (6-8 weeks)
    • •One-Page PRD: Simple features (2-4 weeks)
    • •Feature Brief: Exploration phase (1 week)
    • •Agile Epic: Sprint-based delivery
  2. •

    Structure Content

    • •Problem → Solution → Success Metrics
    • •Always include out-of-scope
    • •Clear acceptance criteria
  3. •

    Collaborate

    • •Engineering for feasibility
    • •Design for experience
    • •Sales for market validation
    • •Support for operational impact

Key Scripts

rice_prioritizer.py

Advanced RICE framework implementation with portfolio analysis.

Features:

  • •RICE score calculation
  • •Portfolio balance analysis (quick wins vs big bets)
  • •Quarterly roadmap generation
  • •Team capacity planning
  • •Multiple output formats (text/json/csv)

Usage Examples:

bash
# 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

customer_interview_analyzer.py

NLP-based interview analysis for extracting actionable insights.

Capabilities:

  • •Pain point extraction with severity assessment
  • •Feature request identification and classification
  • •Jobs-to-be-done pattern recognition
  • •Sentiment analysis
  • •Theme extraction
  • •Competitor mentions
  • •Key quotes identification

Usage Examples:

bash
# 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

Reference Documents

prd_templates.md

Multiple PRD formats for different contexts:

  1. •

    Standard PRD Template

    • •Comprehensive 11-section format
    • •Best for major features
    • •Includes technical specs
  2. •

    One-Page PRD

    • •Concise format for quick alignment
    • •Focus on problem/solution/metrics
    • •Good for smaller features
  3. •

    Agile Epic Template

    • •Sprint-based delivery
    • •User story mapping
    • •Acceptance criteria focus
  4. •

    Feature Brief

    • •Lightweight exploration
    • •Hypothesis-driven
    • •Pre-PRD phase

Prioritization Frameworks

RICE Framework

code
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

Value vs Effort Matrix

code
         Low Effort    High Effort
         
High     QUICK WINS    BIG BETS
Value    [Prioritize]   [Strategic]
         
Low      FILL-INS      TIME SINKS
Value    [Maybe]       [Avoid]

MoSCoW Method

  • •Must Have: Critical for launch
  • •Should Have: Important but not critical
  • •Could Have: Nice to have
  • •Won't Have: Out of scope

Discovery Frameworks

Cu