An automated conversation intelligence tool that generates AI summaries and maps entity relationships from transcribed voice data.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install percept-summarize
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install percept-summarize using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
percept-summarize is a powerful analysis engine designed to transform raw transcripts into actionable intelligence. By integrating with Openclaw Skills, it processes audio streams after periods of silence to generate concise summaries, identify key participants, and track topics of discussion.
It goes beyond simple text by building a semantic relationship graph between people, organizations, and projects mentioned during a conversation. This ensures that every voice interaction becomes a searchable, structured asset within your knowledge management system.
Ensure the percept-listen skill is installed and running as a prerequisite. You must also have an OpenClaw agent accessible via CLI to handle the LLM summarization tasks.
# Verify your database connectivity
sqlite3 percept.db "SELECT * FROM conversations LIMIT 1;"
The skill manages data across different timelines to balance performance and storage. It utilizes SQLite with FTS5 for text search and LanceDB for vector-based semantic similarity.
| Data Type | Retention | Storage Mechanism |
|---|---|---|
| Utterances | 30 Days | SQLite FTS5 |
| Summaries | 90 Days | SQLite Tables |
| Relationships | 180 Days | Graph Database Structure |
| Speaker Profiles | Forever | Local Metadata Store |
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