percept-summarize

Automatic conversation summaries with entity extraction and relationship mapping.

7 stars

Best use case

percept-summarize is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Automatic conversation summaries with entity extraction and relationship mapping.

Teams using percept-summarize should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/percept-summarize/SKILL.md --create-dirs "https://raw.githubusercontent.com/Demerzels-lab/elsamultiskillagent/main/public/skills/jarvis563/percept-summarize/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/percept-summarize/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How percept-summarize Compares

Feature / Agentpercept-summarizeStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Automatic conversation summaries with entity extraction and relationship mapping.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# percept-summarize

Automatic conversation summaries with entity extraction and relationship mapping.

## Install

```
npx clawhub@latest install percept-summarize
```

Related Skills

gettr-transcribe-summarize

7
from Demerzels-lab/elsamultiskillagent

Download audio from a GETTR post (via HTML og:video), transcribe it locally with MLX Whisper on Apple Silicon (with timestamps via VTT), and summarize the transcript into bullet points and/or a timestamped outline. Use when given a GETTR post URL and asked to produce a transcript or summary.

youtube-summarize

7
from Demerzels-lab/elsamultiskillagent

Summarize YouTube videos by extracting transcripts and captions. Use when you need to get a quick summary of a video, extract key points, or analyze video content without watching it.

kagi-summarizer

7
from Demerzels-lab/elsamultiskillagent

Summarize any URL or text using Kagi's Universal Summarizer API.

percept-voice-cmd

7
from Demerzels-lab/elsamultiskillagent

Voice command detection and action execution for OpenClaw agents.

percept-speaker-id

7
from Demerzels-lab/elsamultiskillagent

Speaker identification and management for multi-person conversations.

percept-listen

7
from Demerzels-lab/elsamultiskillagent

Ambient audio capture and transcription for OpenClaw agents via wearable devices.

percept-ambient

7
from Demerzels-lab/elsamultiskillagent

Ambient intelligence mode — continuous context awareness without explicit commands.

tweet-summarizer-lite

7
from Demerzels-lab/elsamultiskillagent

Fetch and summarize single tweets from Twitter/X.

youtube-voice-summarizer

7
from Demerzels-lab/elsamultiskillagent

Transform YouTube videos into podcast-style voice summaries using ElevenLabs TTS

shelly-meeting-summarizer

7
from Demerzels-lab/elsamultiskillagent

Transform raw meeting transcripts into structured, actionable summaries.

meeting-summarizer

7
from Demerzels-lab/elsamultiskillagent

Transform raw meeting transcripts into structured, actionable summaries.

expanso-text-summarize

7
from Demerzels-lab/elsamultiskillagent

Summarize text into 3-5 bullet points using AI.