A sophisticated analysis tool that extracts high-fidelity signals, hidden risks, and concrete decisions from meeting transcripts and notes.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install meeting-signal-decoder
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 meeting-signal-decoder 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 Meeting Signal Decoder?
The Meeting Signal Decoder is a specialized agent capability designed to solve the problem of meeting ambiguity. Often, teams leave sessions with conflicting interpretations of what was actually decided. This skill performs deep linguistic analysis on meeting notes to distinguish between mere discussion and hard commitments, ensuring clarity across the organization.
By leveraging the framework of Openclaw Skills, this agent identifies the nuances of professional communication, surfacing the subtle cues that indicate hesitation or unspoken concern. It transforms messy transcripts into actionable intelligence by mapping out the true signal within the noise of corporate dialogue.
Meeting Signal Decoder Use Cases
- Clarifying project direction when meeting minutes are vague or non-committal.
- Identifying potential project blockers by surfacing risks that were only hinted at during a call.
- Mediating team alignment by highlighting implicit disagreements and areas of deferred commitment.
- Generating accurate action item lists with clear ownership based on verbal agreements.
How Meeting Signal Decoder Works
- The user provides raw meeting notes, a full transcript, or a summary to the agent.
- The skill scans the text for specific linguistic patterns that differentiate firm decisions from exploratory discussion.
- It identifies softening language and avoidance tactics to map out implicit disagreements.
- The agent extracts 'unspoken risks' by analyzing concerns that were raised but not fully addressed by the group.
- A final signal map is generated, providing a structured breakdown of decisions, ownership, and recommended follow-up questions.
Meeting Signal Decoder Setup
To integrate this capability into your workflow, ensure your environment supports Openclaw Skills and follow these steps:
# Install the skill via the Openclaw CLI
openclaw install meeting-signal-decoder
# Configure your preferred output format
openclaw configure meeting-signal-decoder --output signal-map.md
Meeting Signal Decoder Data Schema & Taxonomy
The skill organizes extracted insights into a structured taxonomy to ensure data is scannable and actionable:
| Data Point | Description | Extraction Logic |
|---|---|---|
| Decisions | Confirmed outcomes and strategy shifts | Filters for 'we decided', 'the plan is', etc. |
| Implicit Disagreements | Points of friction or lack of consensus | Analyzes 'softening' language and non-answers |
| Unspoken Risks | Hinted threats to project success | Flags concerns raised without resolution |
| Action Ownership | Direct and indirect task assignments | Maps specific actions to identified participants |
Meeting Signal Decoder Advanced Features
- Signal Mapping: Visualizes the health of a meeting based on the ratio of decisions to circular discussions.
- Behavioral Pattern Recognition: Identifies when specific stakeholders consistently defer or avoid commitment.
- Automated Follow-up Generation: Creates targeted questions to resolve the specific ambiguities identified during analysis.
- Multi-format Support: Seamlessly processes everything from raw stenography to bulleted summaries.
SKILL.md
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