An AI-driven strategic planner that converts raw product ideas into structured, channel-ready launch briefs and execution timelines.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install new-product-launch-copilot
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 new-product-launch-copilot 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 New Product Launch Copilot?
The New Product Launch Copilot is a specialized tool designed for the Openclaw Skills framework to assist ecommerce founders, growth leads, and consultants. It serves as a bridge between a product concept and a successful market entry by generating comprehensive messaging matrices, readiness checklists, and milestone timelines for platforms like Shopify, Amazon, and TikTok Shop.
By leveraging heuristic planning, this skill helps teams identify asset gaps and potential risks before the first dollar is spent on ads. It streamlines the preparation process, ensuring that every SKU or collection launch is backed by a solid KPI framework and a clear sequence of channel-specific actions.
New Product Launch Copilot Use Cases
- Creating structured launch briefs for new SKUs, bundles, or seasonal collections.
- Converting technical product features into benefit-driven messaging for email and social media.
- Identifying missing assets or documentation gaps before a product goes live.
- Developing a multi-channel launch checklist with specific T-minus milestones.
- Defining success metrics and risk mitigation strategies for day-1 launch windows.
How New Product Launch Copilot Works
- Discovery: The skill captures the launch objective, target audience, and core product promise from user input.
- Mapping: It identifies necessary launch channels and maps out asset requirements and operational dependencies.
- Messaging Synthesis: It translates raw features into channel-specific hooks, proof points, and value propositions.
- Planning: The agent generates a structured readiness checklist, a detailed milestone timeline, and a KPI framework.
- Delivery: It outputs a comprehensive Markdown launch brief ready for team review and execution.
New Product Launch Copilot Setup
To integrate this skill into your Openclaw Skills environment, ensure you have the core agent installed and then add the launch copilot configuration:
# Navigate to your agent's skills directory
cd openclaw-agent/skills
# Clone or add the new-product-launch-copilot
git clone https://github.com/openclaw/new-product-launch-copilot.gitnn# Register the skill within your agent configuration
openclaw register ./new-product-launch-copilot
New Product Launch Copilot Data Schema & Taxonomy
The New Product Launch Copilot organizes data into a structured Markdown document using the following taxonomy:
| Section | Description |
|---|---|
| Launch Thesis | High-level positioning and audience promise summary. |
| Messaging Matrix | Feature-to-benefit mapping and channel-specific hooks. |
| Readiness Checklist | Workstream-based tasks (Assets, Ops, Tech, Marketing). |
| Milestone Timeline | Chronological plan from T-21 days to T+7 days post-launch. |
| KPI & Risk Frame | Success metrics and critical watchlists for the launch window. |
| Assumptions Block | Transparency on missing evidence or required human approvals. |
New Product Launch Copilot Advanced Features
- Multi-Channel Sequencing: Tailors plans for diverse platforms including Shopify, Amazon, TikTok Shop, and Xiaohongshu.
- Temporal Milestones: Provides a granular timeline with specific checkpoints at T-21, T-14, T-7, and launch day.
- Heuristic Risk Analysis: Automatically identifies potential gaps in inventory, tracking, and compliance based on provided data.
- Learning Loop Integration: Includes a post-launch framework to capture insights for future Openclaw Skills iterations.
SKILL.md
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