Content Extractor
SkillDev toolsLets your agent find and pull together specific passages from content, like quotes, explanations, or topics.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Content Extractor skill
About this skill
Locates and assembles source passages matching a semantic request. Use for extracting explanations, topics, quotes, demonstrations, or other specifically described content.
What this skill tells your AI
The instructions your AI receives, as published by gml-mmgroup/cliptalk in skills/cliptalk-content-extractor/SKILL.md and read by ahel’s review.
Turn the requested subject and boundaries into a traceable content-selection plan.
- Inspect reusable transcripts and indexes before scheduling a search.
- Search for meaning and supporting visual evidence, not keywords alone.
- Preserve enough context for statements and demonstrations to remain understandable.
- Make ordering and overlap handling explicit before proposing the timeline.
- Keep the semantic target separate from duration, variant, subtitle, aspect-ratio, and delivery instructions. Those explicit deliverables are composed after content selection rather than mixed into the search query.
- A find-only request ends with evidence rather than creating an unrequested cut. For a combined cut, autonomous-review mode may select valid candidates and apply its timeline proposal without interrupting the user; stepwise-review mode requires candidate and timeline confirmation.
- Autonomous-review mode must finish with a low-resolution review preview. Stepwise-review mode prepares subtitles or a review preview only when requested. Never treat a preview as a formal export.
Signals
- GitHub stars
- 128
- Forks
- 9
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
cliptalk-content-extractor- Source
- github.com/gml-mmgroup/cliptalk