An intelligent facilitation skill that guides teams through the Design for Manufacturing and Assembly process directly within group chats.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dfma-activity-guide
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 dfma-activity-guide 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 DFMA Activity Guide?
The DFMA Activity Guide is a specialized tool designed for Openclaw Skills to streamline the Design for Manufacturing and Assembly (DFMA) process. It acts as an automated facilitator that triggers when relevant keywords like design evaluation or risk identification are mentioned. By leading teams through a structured three-phase workflow—Preparation, Process Execution, and Results Output—it ensures that engineering and manufacturing standards are met without the need for manual oversight.
This skill is built to handle the complexities of collaborative design by tracking participation and ensuring discussions stay on track. It bridges the gap between raw brainstorming and professional documentation, making it an essential asset for hardware development teams using Openclaw Skills to improve product quality and reduce manufacturing costs.
DFMA Activity Guide Use Cases
- Facilitating formal DFMA meetings within team messaging apps like Feishu or Slack.
- Guiding multi-disciplinary teams through design structure decomposition and functional analysis.
- Automatically identifying risks in manufacturability and assembly during the design phase.
- Managing brainstorming sessions for design optimization and improvement ranking.
- Generating comprehensive activity reports and action items automatically after a discussion.
How DFMA Activity Guide Works
- The skill monitors the chat and triggers when a user @mentions the agent or mentions keywords like DFMA, design evaluation, or risk identification.
- It initiates the Preparation Phase by requesting basic activity info, inviting participants, and collecting design documents/drawings.
- It moves to the Process Execution Phase, guiding the team through structure decomposition, functional analysis, risk identification, and brainstorming for improvements.
- During the discussion, it tracks progress in real-time, @reminds inactive users after 10 minutes, and gently redirects off-topic conversations.
- Once the discussion concludes, it enters the Results Output Phase to confirm final decisions and action items.
- Finally, it generates a full DFMA report, provides a summary in the chat, and saves the detailed version as a cloud document for download.
DFMA Activity Guide Setup
To enable the DFMA Activity Guide within your Openclaw Skills environment, follow these steps:
- Ensure your AI agent has access to group chat permissions and document storage.
- Add the skill to your agent configuration:
openclaw skill add dfma-activity-guide
- Configure the webhook or integration for your preferred messaging platform (e.g., Feishu/Lark).
- Test the trigger by typing "Start DFMA meeting" in your group chat.
DFMA Activity Guide Data Schema & Taxonomy
The skill manages data across several categories to ensure a complete audit trail of the DFMA process:
| Data Category | Details |
|---|---|
| Activity Info | Topic, assessment object (product name/model), time, and location. |
| Participants | List of all engaged users and their roles (Design, Manufacturing, etc.). |
| Process Logs | Records of each phase: Decomposition, Function Analysis, Risk ID. |
| Decision Data | Finalized optimization plans, ranked improvements, and assigned owners. |
| Output Files | Auto-generated Markdown summaries and Feishu/Cloud Document links. |
DFMA Activity Guide Advanced Features
- Real-time Participation Tracking: Automatically detects who hasn't responded and sends gentle @reminders.
- Intelligent Topic Correction: Uses natural language processing to identify off-topic speech and steer the group back to DFMA objectives.
- Automated Report Synthesis: Compiles core viewpoints, action items, and optimization suggestions into a professional document.
- Multi-format Distribution: Synchronizes results via both short-form chat summaries and long-form persistent cloud links.
SKILL.md
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