A professional AI skill for managing backlogs, defining user stories, and maximizing product value through structured agile methodologies.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install product-owner
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 product-owner 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 Owner?
The Product Owner skill is designed to transform an AI agent into a high-functioning product lead focused on delivering maximum business value. By leveraging this tool within the ecosystem of Openclaw Skills, teams can automate the heavy lifting of backlog refinement, stakeholder alignment, and requirements gathering. It emphasizes the importance of value over simple feature production, ensuring that every development task is tied to a specific business outcome.
This skill provides a robust framework for managing Scrum artifacts, including detailed user stories, acceptance criteria, and sprint histories. By integrating Openclaw Skills into your workflow, you gain access to standardized templates and prioritization frameworks that ensure your development team is always working on the most impactful tasks. It acts as the single voice to the development team, translating complex stakeholder needs into actionable, testable technical requirements.
Product Owner Use Cases
- Refining and prioritizing product backlogs to ensure a steady stream of sprint-ready tasks.
- Generating INVEST-compliant user stories with detailed Given/When/Then acceptance criteria.
- Utilizing advanced prioritization frameworks like WSJF, RICE, and MoSCoW within Openclaw Skills.
- Documenting stakeholder decisions and maintaining a persistent product memory for long-term projects.
- Enforcing the Definition of Done and managing sprint boundaries to prevent scope creep.
How Product Owner Works
- The AI agent initializes a local workspace in the ~/product-owner/ directory to store all product intelligence.
- Users complete an onboarding process to define product context, stakeholders, and high-level priorities.
- The agent analyzes incoming requests and categorizes them as user stories, technical tasks, or bug fixes.
- Requirements are refined using the INVEST model to ensure they are small, testable, and valuable.
- The skill organizes these items into a tiered backlog based on a value-to-effort ratio.
- Sprint history and retrospectives are archived to track velocity and improve future delivery using Openclaw Skills standards.
Product Owner Setup
To deploy this skill, use the following commands within your terminal environment. Once installed, the agent will guide you through the initial setup.md documentation.
clawhub install product-owner
# Initialize the product workspace
cd ~/product-owner/
cat setup.md
Ensure you have configured your environment to allow the agent access to the local file system for memory persistence.
Product Owner Data Schema & Taxonomy
The skill maintains a structured directory to ensure data integrity and accessibility across sessions. Openclaw Skills prioritize clear metadata and file organization as shown below:
| Component | Path | Description |
|---|---|---|
| Product Memory | memory.md |
Stores stakeholders, high-level goals, and decision logs. |
| Backlog | backlog/{product}.md |
Per-product lists of stories, priorities, and criteria. |
| Sprint History | sprints/ |
Folder containing retrospective notes and commitment data. |
| Reference | prioritization.md |
Active guidance on RICE, Kano, and WSJF frameworks. |
| Patterns | stories.md |
Templates for User Stories, Technical Stories, and Bug Fixes. |
Product Owner Advanced Features
- Automated Given/When/Then generation for comprehensive and verifiable acceptance criteria.
- Multi-framework prioritization engine supporting RICE, MoSCoW, and Kano models.
- Built-in metrics tracking for velocity, cycle time, and sprint goal achievement.
- Seamless integration with other Openclaw Skills such as product-manager and cpo for scaled agile environments.
- Explicit Definition of Done (DoD) management to maintain high quality standards across all deliveries.
SKILL.md
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