Multi-topic Assembler
SkillDev toolsBuilds balanced clips from multiple required topics or categories, such as one segment per appliance, speaker, product, feature, or scene type, and reports missing categories instead of filling with unrelated footage.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Multi-topic Assembler skill
What this skill tells your AI
The instructions your AI receives, as published by gml-mmgroup/cliptalk in skills/cliptalk-multi-topic-assembler/SKILL.md and read by ahel’s review.
Create a reviewable timeline where each requested category is represented by reliable evidence.
- Parse category requirements from the user's words and keep them as required branches.
- Search once when the current task lacks compatible evidence, then select per-category candidates from reliable matches only.
- If a required category is missing, stop with a structured evidence gap; do not use unrelated scenes, filler, or "possible" matches to satisfy the category.
- When a total duration is explicit, distribute it across categories and expand around evidence anchors while respecting source boundaries.
- Preserve source order unless the user asks for a narrative order.
- Aspect ratio, subtitles, cover, and QC are delivery add-ons after the category selection is stable.
Signals
- GitHub stars
- 126
- Forks
- 8
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
cliptalk-multi-topic-assembler- Source
- github.com/gml-mmgroup/cliptalk