A high-precision product strategy skill that converts raw ideas into structured, build-ready technical specifications for AI coding agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install opc-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 opc-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 opc-product-manager?
The opc-product-manager is a specialized tool within the Openclaw Skills ecosystem designed specifically for solo entrepreneurs and one-person companies. It acts as a digital product strategist, taking a single-sentence concept and expanding it into a comprehensive, agent-executable specification. Unlike traditional enterprise PRDs, this skill focuses on the leanest possible MVP, ensuring that AI coding tools like Claude Code can begin development immediately without needing clarification on tech stacks or data models.
By enforcing strict output constraints, the skill eliminates ambiguity in software development. It provides explicit tech stack justifications, fenced MVP scopes, and concrete data models with typed fields. This ensures that the transition from a vision to a functional product is seamless, cost-effective, and optimized for modern AI-driven development workflows.
opc-product-manager Use Cases
- Rapidly drafting a technical spec for a new SaaS idea.
- Assessing the complexity and solo-buildability of a product concept.
- Generating AGENTS.md handoff files for direct consumption by AI coding agents.
- Iterating on existing product scopes to reduce complexity and focus on MVP features.
- Selecting an opinionated, cost-effective tech stack for a new web app or CLI tool.
How opc-product-manager Works
- Mode Detection: The skill identifies user intent (e.g., Full Spec, Quick Spec, or Scope Check) from the initial input.
- Idea Intake: It validates the 'Minimum Viable Idea' by identifying what the product does, who it is for, and how it is used.
- Product Classification: The system auto-classifies the project into categories like web_app, api_service, or ai_agent.
- Spec Generation: Using pre-defined templates, it builds a full spec including user stories (P0-P2), a tech stack guide, and an API sketch.
- Scope Assessment: The skill scores the project complexity on a 1-10 scale to determine if it is a 'weekend project' or requires simplification.
- Archiving & Handoff: It saves the final spec.md and metadata.json to a dedicated product folder and can generate a direct handoff file for coding agents.
opc-product-manager Setup
To integrate this skill into your Openclaw Skills environment, ensure you have the core framework installed and the following structure ready:
# Navigate to your skills directory
cd openclaw-projects/skills
# Clone or add the opc-product-manager skill
mkdir opc-product-manager
# Ensure Python 3.8+ is available for the tracker scripts
python3 --version
# Initialize the product tracker
python3 ./scripts/product_tracker.py --index ./products
opc-product-manager Data Schema & Taxonomy
The skill organizes product data within a structured directory using a consistent taxonomy:
| File | Format | Description |
|---|---|---|
spec.md |
Markdown | The primary build-ready technical specification. |
metadata.json |
JSON | Technical metadata including complexity scores and project status. |
handoff.md |
Markdown | A condensed, instruction-heavy version for AI agents. |
products/ |
Directory | Kebab-case folders containing individual project assets. |
opc-product-manager Advanced Features
- Cross-Skill Linkage: Automatically connects product specs to opc-landing-page-manager for marketing or opc-contract-manager for client billing.
- Agent-Buildability Review: Analyzes existing PRDs and scores them (0-7) based on how easily an AI agent can execute them.
- Quick Spec Mode: Bypasses confirmation steps for rapid-fire prototyping of simple tools.
- Interactive Iteration: Supports cascading updates where changing a feature automatically adjusts the data model and API contracts.
- Automated Dashboarding: Provides a CLI-based status overview of all products in your pipeline from idea to launch.
SKILL.md
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