A comprehensive product management framework for automating discovery, prioritization, roadmapping, and cross-functional leadership.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afrexai-product-manager
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install afrexai-product-manager using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Product Management OS?
The Product Management OS is a professional-grade methodology designed for AI agents to manage the entire product development lifecycle. By integrating this into your workflow through Openclaw Skills, you gain access to a world-class system that covers everything from initial strategy validation to post-launch metrics. It transforms the often chaotic process of building software into a structured, data-driven operation, ensuring that every feature built has a clear purpose and measurable impact.
This skill is built for teams that value discovery-led development over feature-factory output. It provides deep technical specs, automated interview synthesis templates, and advanced prioritization matrices like RICE+. By using this Openclaw Skills package, product managers and developers can maintain a single source of truth for strategy, roadmaps, and stakeholder alignment directly within their project repository.
Product Management OS Use Cases
- Creating and validating product strategy briefs with vision, mission, and competitive moats
- Conducting weekly user discovery cycles and synthesizing interview notes into actionable insights
- Scoring feature backlogs using the RICE+ framework to ensure high-ROI development
- Building and maintaining Now/Next/Later roadmaps focused on outcomes rather than output lists
- Drafting high-quality specifications, user stories, and acceptance criteria for engineering teams
- Designing North Star metric frameworks to track activation, retention, and growth
How Product Management OS Works
- The system initiates a PM practice health check across 8 dimensions to identify gaps in discovery or prioritization.
- Strategy and validation modules allow for the creation of YAML-based briefs that define the product moat and target customer.
- Discovery workflows automate the creation of interview scripts and synthesize patterns into pain points and jobs-to-be-done.
- Prioritization logic applies the RICE+ matrix to feature candidates, weighing strategic fit and technical effort.
- Execution modules generate standardized documentation including one-pagers, sprint planning rules, and launch checklists.
- Post-launch modules analyze cohort data and North Star metrics to determine whether to iterate, expand, or kill a feature.
Product Management OS Setup
To deploy this skill within your environment using Openclaw Skills, initialize the standardized file structure in your repository:
mkdir -p product/{discovery/interviews,specs/{one-pagers,stories},metrics/{dashboards,reviews},stakeholders/updates,decisions}
touch product/{strategy.yaml,roadmap.yaml}
Once the directory is established, use the natural language commands to generate your first strategy brief or roadmap.
Product Management OS Data Schema & Taxonomy
The skill maintains a highly organized data taxonomy within a product/ root directory to ensure all stakeholders have access to structured information:
| Path | Description | Data Type |
|---|---|---|
product/strategy.yaml |
High-level vision, moat type, and competitive landscape | YAML |
product/roadmap.yaml |
Outcome-based Now/Next/Later initiatives | YAML |
product/discovery/ |
Folder containing interview summaries and validation logs | MD/YAML |
product/specs/ |
Comprehensive one-pagers and detailed user stories | MD/YAML |
product/metrics/ |
North Star frameworks, leading indicators, and post-mortems | YAML/MD |
product/stakeholders/ |
Map of internal partners and communication status updates | YAML |
product/decisions/ |
Historical log of key product decisions and their rationale | MD |
Product Management OS Advanced Features
- AI/ML Feature Management: Specialized frameworks for probabilistic UX, fallback states, and cost-per-inference analysis
- Product-Led Growth (PLG) Engine: Built-in loops for designing viral hooks and activation nudges
- Rescue Playbook: Step-by-step diagnostic workflows for identifying and fixing failing product lines
- RICE+ Scoring: Enhanced prioritization logic that factors in strategic alignment and reversibility
- Platform & API PM Patterns: Specific templates for managing developer-facing products where documentation is the primary UI
SKILL.md
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