Agent skill

Product Manager Toolkit

Product management helpers: a RICE scoring script, an interview transcript analyzer and PRD templates for prioritizing features, synthesizing research and writing requirements.

MITAuto-check passedProduct & Project Management

Install Product Manager Toolkit

skills CLI

$ npx skills add majiayu000/spellbook --skill product-manager-toolkit -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install majiayu000/spellbook product-manager-toolkit --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/spellbook.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/product-manager-toolkit .claude/skills/product-manager-toolkit && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "product-manager-toolkit" agent skill from https://github.com/majiayu000/spellbook/tree/main/skills/product-manager-toolkit into .claude/skills/product-manager-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-manager-toolkit", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/majiayu000/spellbook/tree/main/skills/product-manager-toolkit

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add majiayu000/spellbook --skill product-manager-toolkit -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install majiayu000/spellbook product-manager-toolkit --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/spellbook.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/product-manager-toolkit .agents/skills/product-manager-toolkit && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "product-manager-toolkit" agent skill from https://github.com/majiayu000/spellbook/tree/main/skills/product-manager-toolkit into .agents/skills/product-manager-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-manager-toolkit", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add majiayu000/spellbook --skill product-manager-toolkit -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install majiayu000/spellbook product-manager-toolkit --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/spellbook.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/product-manager-toolkit .cursor/skills/product-manager-toolkit && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "product-manager-toolkit" agent skill from https://github.com/majiayu000/spellbook/tree/main/skills/product-manager-toolkit into .cursor/skills/product-manager-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-manager-toolkit", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/majiayu000/spellbook.git --path skills/product-manager-toolkit

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add majiayu000/spellbook --skill product-manager-toolkit -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install majiayu000/spellbook product-manager-toolkit --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/spellbook.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/product-manager-toolkit .gemini/skills/product-manager-toolkit && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "product-manager-toolkit" agent skill from https://github.com/majiayu000/spellbook/tree/main/skills/product-manager-toolkit into .gemini/skills/product-manager-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-manager-toolkit", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install majiayu000/spellbook product-manager-toolkit

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add majiayu000/spellbook --skill product-manager-toolkit -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/spellbook.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/product-manager-toolkit .github/skills/product-manager-toolkit && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "product-manager-toolkit" agent skill from https://github.com/majiayu000/spellbook/tree/main/skills/product-manager-toolkit into .github/skills/product-manager-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-manager-toolkit", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add majiayu000/spellbook --skill product-manager-toolkit -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install majiayu000/spellbook product-manager-toolkit --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/spellbook.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/product-manager-toolkit .opencode/skills/product-manager-toolkit && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "product-manager-toolkit" agent skill from https://github.com/majiayu000/spellbook/tree/main/skills/product-manager-toolkit into .opencode/skills/product-manager-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-manager-toolkit", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: product-manager-toolkit
GitHub stars: 287
Token cost: ~2.2k tokens
SKILL.md length: 692 words
Files: 4 (incl. scripts, references)
Skills in repo: 97
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Product management helpers: a RICE scoring script, an interview transcript analyzer and PRD templates for prioritizing features, synthesizing research and writing requirements.

Works in 4 steps: Choose template from… → Fill in sections based on discovery work → Review with stakeholders → …
Ranking a backlog of feature ideas with RICE scores
SKILL.md covers Quick Start, Core Workflows, Key Scripts and Reference Documents, plus 4 more sections
Runs Python scripts from its folder; calls python

What it does

Two Python scripts do the number crunching. scripts/rice_prioritizer.py can create a sample CSV and then score a features file with columns for name, reach, impact, confidence and effort, taking a capacity option for quarterly planning. scripts/customer_interview_analyzer.py reads an interview transcript and extracts pain points with severity, feature requests with priority, jobs to be done, sentiment, and key themes and quotes.

The written workflows cover feature prioritization from gathered requests through RICE scoring, portfolio review of quick wins against big bets and roadmap generation, then customer discovery through interviews, analysis, synthesis and validation, and PRD development. references/prd_templates.md offers Standard PRD, One-Page PRD, Feature Brief and Agile Epic templates, and the PRD guidance asks for a problem to solution to success metrics flow, an out-of-scope list and clear acceptance criteria.

When your agent uses it

Ranking a backlog of feature ideas with RICE scores
Pulling pain points and feature requests out of customer interview transcripts
Choosing a PRD template and drafting the requirements document
Turning discovery findings into a quarterly roadmap proposal

Example prompts

“Score the features in features.csv with RICE and show me the quick wins.”
“Analyze interview_transcript.txt and list the pain points by severity.”
“Draft a one-page PRD for the bulk export feature, including what is out of scope.”

Requirements

Python for the bundled scripts

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

Choose template from references/prd_templates.md
Fill in sections based on discovery work
Review with stakeholders
Version control in your PM tool

What it can do on your machine

Read from SKILL.md and the folder at commit ed52af7. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Product Manager Toolkit loads about 2.2k tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 67 tokens; SKILL.md has 692 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~67
When it runs · the whole SKILL.md, loaded when a task matches: ~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from majiayu000/spellbook at commit ed52af7, republished under its MIT licence (© majiayu000). 692 words, ~2,209 tokens.

Download SKILL.mdSave it as .claude/skills/product-manager-toolkit/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: product-manager-toolkit
description: Use when the user needs product management workflows such as RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, go-to-market strategy, feature prioritization, research synthesis, or requirements documentation.

Product Manager Toolkit Skill

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

Choose template from references/prd_templates.md
Fill in sections based on discovery work
Review with stakeholders
Version control in your PM tool

Core Workflows

Feature Prioritization Process

Gather Feature Requests
- Customer feedback
- Sales requests
- Technical debt
- Strategic initiatives
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)
Analyze Portfolio
- Review quick wins vs big bets
- Check effort distribution
- Validate against strategy
Generate Roadmap
- Quarterly capacity planning
- Dependency mapping
- Stakeholder alignment

Customer Discovery Process

Conduct Interviews
- Use semi-structured format
- Focus on problems, not solutions
- Record with permission
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
Synthesize Findings
- Group similar pain points
- Identify patterns across interviews
- Map to opportunity areas
Validate Solutions
- Create solution hypotheses
- Test with prototypes
- Measure actual vs expected behavior

PRD Development Process

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
Structure Content
- Problem → Solution → Success Metrics
- Always include out-of-scope
- Clear acceptance criteria
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:

Standard PRD Template
- Comprehensive 11-section format
- Best for major features
- Includes technical specs
One-Page PRD
- Concise format for quick alignment
- Focus on problem/solution/metrics
- Good for smaller features
Agile Epic Template
- Sprint-based delivery
- User story mapping
- Acceptance criteria focus
Feature Brief
- Lightweight exploration
- Hypothesis-driven
- Pre-PRD phase

Prioritization Frameworks

RICE Framework

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

         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

Customer Interview Guide

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

Hypothesis Template

We believe that [building this feature]
For [these users]
Will [achieve this outcome]
We'll know we're right when [metric]

Opportunity Solution Tree

Outcome
├── Opportunity 1
│   ├── Solution A
│   └── Solution B
└── Opportunity 2
    ├── Solution C
    └── Solution D

Metrics & Analytics

Show full SKILL.md (289 more words)Show less

North Star Metric Framework

Identify Core Value: What's the #1 value to users?
Make it Measurable: Quantifiable and trackable
Ensure It's Actionable: Teams can influence it
Check Leading Indicator: Predicts business success

Funnel Analysis Template

Acquisition → Activation → Retention → Revenue → Referral

Key Metrics:
- Conversion rate at each step
- Drop-off points
- Time between steps
- Cohort variations

Feature Success Metrics

Adoption: % of users using feature
Frequency: Usage per user per time period
Depth: % of feature capability used
Retention: Continued usage over time
Satisfaction: NPS/CSAT for feature

Best Practices

Writing Great PRDs

Start with the problem, not solution
Include clear success metrics upfront
Explicitly state what's out of scope
Use visuals (wireframes, flows)
Keep technical details in appendix
Version control changes

Effective Prioritization

Mix quick wins with strategic bets
Consider opportunity cost
Account for dependencies
Buffer for unexpected work (20%)
Revisit quarterly
Communicate decisions clearly

Customer Discovery Tips

Ask "why" 5 times
Focus on past behavior, not future intentions
Avoid leading questions
Interview in their environment
Look for emotional reactions
Validate with data

Stakeholder Management

Identify RACI for decisions
Regular async updates
Demo over documentation
Address concerns early
Celebrate wins publicly
Learn from failures openly

Common Pitfalls to Avoid

Solution-First Thinking: Jumping to features before understanding problems
Analysis Paralysis: Over-researching without shipping
Feature Factory: Shipping features without measuring impact
Ignoring Technical Debt: Not allocating time for platform health
Stakeholder Surprise: Not communicating early and often
Metric Theater: Optimizing vanity metrics over real value

Integration Points

This toolkit integrates with:

Analytics: Amplitude, Mixpanel, Google Analytics
Roadmapping: ProductBoard, Aha!, Roadmunk
Design: Figma, Sketch, Miro
Development: Jira, Linear, GitHub
Research: Dovetail, UserVoice, Pendo
Communication: Slack, Notion, Confluence

Quick Commands Cheat Sheet

bash

# 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

Files

SKILL.md and 3 other files (scripts, references) in skills/product-manager-toolkit of majiayu000/spellbook.

SKILL.md
references/prd_templates.md
scripts/customer_interview_analyzer.py
scripts/rice_prioritizer.py

Open the folder on GitHubat commit ed52af7

Compare with similar skills

Product Manager Toolkit next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Product Manager Toolkit compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Product Manager Toolkit this skillmajiayu000/spellbook	287	—	~2.2k	Automated safety check: Pass	MIT	2 days ago
Product Manager Toolkitdavila7/claude-code-templates	33k	7 repos	~2.2k	Automated safety check: Pass	MIT	today
Product Manager Toolkitborghei/Claude-Skills	891	—	~5.8k	Automated safety check: Pass	MIT	4 days ago
Produck Feedback To Buildtryproduck/produck-skills	511	—	~1k	Automated safety check: Pass	Apache-2.0	1 mo ago
Discovery Synthesisandreaskelm/pm-brain	234	—	~2.3k	Automated safety check: Pass	Custom licence	yesterday
User ResearchTechNomadCode/AI-Product-Development-Toolkit	1k	—	~266	Automated safety check: Pass	MIT	5 days ago

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Questions about Product Manager Toolkit

What does Product Manager Toolkit do?

Product management helpers: a RICE scoring script, an interview transcript analyzer and PRD templates for prioritizing features, synthesizing research and writing requirements. Two Python scripts do the number crunching.py can create a sample CSV and then score a features file with columns for name, reach, impact, confidence and effort, taking a capacity option for quarterly planning.

When should I use Product Manager Toolkit?

Product Manager Toolkit fits situations like: ranking a backlog of feature ideas with RICE scores; pulling pain points and feature requests out of customer interview transcripts; choosing a PRD template and drafting the requirements document; turning discovery findings into a quarterly roadmap proposal.

How do I install Product Manager Toolkit in Claude Code?

Run `npx skills add majiayu000/spellbook --skill product-manager-toolkit -a claude-code`. Or copy the skill folder (skills/product-manager-toolkit in majiayu000/spellbook) into .claude/skills/product-manager-toolkit in your project. Claude Code loads it when a task matches its description.

How do I install Product Manager Toolkit in Codex?

Run `npx skills add majiayu000/spellbook --skill product-manager-toolkit -a codex`. Or copy the skill folder (skills/product-manager-toolkit in majiayu000/spellbook) into .agents/skills/product-manager-toolkit in your project. Codex loads it when a task matches its description.

Can I use Product Manager Toolkit in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/spellbook --skill product-manager-toolkit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-manager-toolkit, .gemini/skills/product-manager-toolkit, .github/skills/product-manager-toolkit and .opencode/skills/product-manager-toolkit in your project.

What does Product Manager Toolkit need to run?

Going by SKILL.md and its folder, Product Manager Toolkit needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python for the bundled scripts.

Does Product Manager Toolkit access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Product Manager Toolkit safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Product Manager Toolkit use?

Product Manager Toolkit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Product Manager Toolkit use?

About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 460 tokens, read only when the agent opens those files.

What are the alternatives to Product Manager Toolkit?

Skills that share tags, products or a category with Product Manager Toolkit: Product Manager Toolkit (davila7/claude-code-templates, 33k stars), Product Manager Toolkit (borghei/Claude-Skills, 891 stars), Produck Feedback To Build (tryproduck/produck-skills, 511 stars) and Discovery Synthesis (andreaskelm/pm-brain, 234 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Product Manager Toolkit?

majiayu000 (a GitHub user) maintains it in majiayu000/spellbook, which has 287 GitHub stars. The repository holds 97 skills in this directory. The repository was last updated on October 8, 2026.

Source: majiayu000/spellbook on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Product Manager Toolkit

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Product Manager Toolkit Skill

Quick Start

For Feature Prioritization

For Interview Analysis

For PRD Creation

Core Workflows

Feature Prioritization Process

Customer Discovery Process

PRD Development Process

Key Scripts

rice_prioritizer.py

customer_interview_analyzer.py

Reference Documents

prd_templates.md

Prioritization Frameworks

RICE Framework

Value vs Effort Matrix

MoSCoW Method

Discovery Frameworks

Customer Interview Guide

Hypothesis Template

Opportunity Solution Tree

Metrics & Analytics

North Star Metric Framework

Funnel Analysis Template

Feature Success Metrics

Best Practices

Writing Great PRDs

Effective Prioritization

Customer Discovery Tips

Stakeholder Management

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