The Lingxi AI Note Recording Query skill enables AI agents to query, retrieve, and analyze sales and meeting voice recordings and their detailed transcription insights.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lingxiai-note-recording
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 lingxiai-note-recording 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 Lingxi AI Note Recording Query?
The Lingxi AI Note Recording Query skill is a powerful extension designed for the Openclaw Skills ecosystem, enabling AI agents to seamlessly interact with the Lingxi AI Note platform. It allows users and agents to query, filter, and extract intelligence from sales audio and meeting recordings directly through natural language commands or API calls. By integrating this capability, agents can programmatically fetch transcription summaries, key meeting points, SWOT analyses, and emotion curves from recorded conversations.
This integration bridges the gap between raw conversational audio databases and actionable agent workflows. Whether you need to pull the latest sales call brief or extract action items from a technical team meeting, this tool simplifies the retrieval of structured data-rich transcripts, making it an essential addition to your suite of Openclaw Skills.
Lingxi AI Note Recording Query Use Cases
- Retrieving a list of recent sales or meeting audio recordings to review team performance.
- Extracting specific meeting summaries, action items, or SWOT analyses from a recorded call using its unique recording ID.
- Configuring and managing Lingxi API connections within an automated AI agent environment.
- Automating post-meeting workflows by fetching timestamped transcripts and mind maps directly into productivity applications.
How Lingxi AI Note Recording Query Works
- The user issues a natural language query or structured command (e.g., asking for the "recording list" or executing
/lyk list). - The AI agent checks for the presence of the required
LYK_API_KEYenvironment variable before making requests. - Based on the input keywords (specifically checking for "meeting" or "会议" to route to the meeting API, defaulting to sales recordings otherwise), the agent dispatches a zero-parameter GET request to the correct Lingxi API endpoint.
- The agent formats the request with the required
AuthorizationLyk: lyk-xxxauthentication header. - The API returns a JSON payload containing transcription metadata, summaries, key points, mind maps, and speaker breakdowns.
- The agent processes the response, parses JSON strings within the payload (such as
summaryJson), extracts the title/summary, and presents the structured insight to the user while keeping sensitive contents secure.
Lingxi AI Note Recording Query Setup
Configure your environment variables to enable the Lingxi AI Note connection.
# Set your Lingxi API Key
export LYK_API_KEY="lyk-your_actual_api_key_here"
# (Optional) Override the base API URL if using a custom gateway
export LYK_API_URL="https://aiapi.szyldata.com/api"
Command Routing Table
/lyk list: Retrieve sales recording list (Default)/lyk meeting: Retrieve meeting recording list/lyk detail <id>: Get comprehensive recording details by ID/lyk config: Configure your API authorization credentials
Lingxi AI Note Recording Query Data Schema & Taxonomy
API Response Schema
All list and detail APIs return a standard wrapper containing execution status and a data payload:
| Field | Type | Description |
|---|---|---|
code |
integer | Status code (200 indicating success) |
message / msg |
string | Status or error message |
succeed |
boolean | Indicates if the operation was successful |
data |
array | Array of recording data elements |
Data Array Elements
The data array contains detailed audio transcription metadata. Key fields include:
| Field | Type | Description |
|---|---|---|
id |
string | Unique identifier of the recording |
publicUrl |
string | Public URL of the audio file |
summaryJson |
string | JSON string containing title and summary |
transcriptionSegmentsJson |
string | Time-stamped transcript segments |
keyPointsJson |
string | Key takeaways and highlights |
insightAnalysisJson |
string | Advanced analysis and insights |
mindMapJson |
string | Generated mind map payload |
speakerSummaryJson |
string | Summary organized by speaker |
actionItemsRaw |
string | Parsed next steps and action items |
emotionCurveJson |
string | Customer/Speaker emotion curve |
bantRaw |
string | BANT sales methodology analysis |
competitorSwotRaw |
string | SWOT analysis for competitors |
Lingxi AI Note Recording Query Advanced Features
- Zero-Parameter GET Requests: Optimized for simplicity, eliminating complex parameters to prevent API hallucination and query failures.
- Automatic Retry Logic: Built-in resiliency that waits 5 seconds and retries once upon encountering 5xx network or timeout errors.
- Anti-Hallucination Guardrails: Hard boundaries preventing the agent from fabricating recording IDs or faking API responses without actual execution.
- Privacy-First Display Rules: Sensitive audio details are protected, avoiding automatic full-content rendering in group or public channels.
- Robust JSON Parsing: Automatically decodes multi-layered nested JSON strings (like summary, mind maps, and BANT metrics) to extract pristine textual data such as
summaryJson.titleandsummaryJson.summary.
SKILL.md
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