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Percept Summarize

Generates AI summaries of conversations after silence, extracting entities, action items, and relationships for searchable meeting notes and context retrieval.

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High Signal

Generates AI summaries of conversations after silence, extracting entities, action items, and relationships for searchable meeting notes and context retrieval.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 9 sections Open source page

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

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

Entity resolution

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

Querying summaries

Summaries are searchable via the Percept dashboard (port 8960) or SQLite directly: SELECT * FROM conversations WHERE summary LIKE '%action items%' ORDER BY end_time DESC; Full-text search via FTS5: 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

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc