---
name: percept-summarize-15252ebccb73
description: Automatic conversation summaries with entity extraction and
  relationship mapping.
---

# percept-summarize

Automatic conversation summaries with entity extraction and relationship mapping.

## What it does

When a conversation ends (60 seconds of silence), Percept generates an AI-powered summary with extracted entities (people, companies, topics), action items, and relationship connections. Summaries are stored locally and searchable.

## When to use

- User asks "what did we talk about?" or "summarize that meeting"
- User wants meeting notes or action items from a conversation
- Agent needs context from a recent conversation

## Requirements

- **percept-listen** skill installed and running
- **OpenClaw agent** accessible via CLI (used for LLM summarization)

## How it works

1. Conversation ends (60s silence timeout)
2. Percept builds a speaker-tagged transcript
3. Sends transcript to OpenClaw for AI summarization
4. Extracts entities (people, orgs, topics) and relationships
5. Stores summary + entities in SQLite
6. Entities linked via relationship graph (works_on, client_of, mentioned_with)

## Entity resolution

5-tier cascade for identifying entities:
1. **Exact match** (confidence 1.0)
2. **Fuzzy match** (0.8) — handles typos, nicknames
3. **Contextual/graph** (0.7) — uses relationship connections
4. **Recency** (0.6) — recently mentioned entities ranked higher
5. **Semantic search** (0.5) — vector similarity via LanceDB

## Querying summaries

Summaries are searchable via the Percept dashboard (port 8960) or SQLite directly:

```sql
SELECT * FROM conversations WHERE summary LIKE '%action items%' ORDER BY end_time DESC;
```

Full-text search via FTS5:
```sql
SELECT * FROM utterances_fts WHERE utterances_fts MATCH 'project deadline';
```

## Data retention

- Utterances: 30 days
- Summaries: 90 days
- Relationships: 180 days
- Speaker profiles: never expire

## Links

- **GitHub:** https://github.com/GetPercept/percept


---
Source attribution: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/percept-summarize/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 skill-library-mcp contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/percept-summarize/SKILL.md
Attribution basis: Source repository record

Fields of work: Marketing, Product Management, Sales
Roles: Customer Success Manager, Marketing Analyst, Product Manager, Sales Operations, Sales Development Rep (SDR)
Specialties: API, Database
Tools: OpenAI API, Openclaw, SQLite
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 229118c281c173d7d9408a45a26b3aab3ec1c09e3137c43567b23094df7e1964