Interview Editor

SkillMedia

Produces a coherent interview edit by combining speaker discovery, topic selection, dialogue context, cleanup, subtitles, and preview. Use for interviews, podcasts, testimonials, or question-and-answer recordings.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Interview Editor skill

What this skill tells your AI

The instructions your AI receives, as published by gml-mmgroup/cliptalk in skills/cliptalk-interview-editor/SKILL.md and read by ahel’s review.

Plan a coherent interview story rather than a bag of isolated quotes.

  • Inspect existing transcripts, speaker clusters, content matches, edit sessions, and timelines. Reuse them before starting another analysis.
  • Discover or confirm speakers only when the goal explicitly scopes a voice or role and the workspace lacks reliable evidence.
  • Use one evidence-extraction search to locate core viewpoints, story examples, necessary questions, natural topic transitions, repetition, and removable dead space. Do not schedule separate searches merely to split those editorial criteria.
  • Use a duration only when the user explicitly requests one. Preserve only the questions and transitions needed to understand each answer; do not invent a default interview length or change the speaker's meaning to hit a target.
  • For a combined cut, autonomous-review mode may select coherent evidence and apply its themed timeline without interrupting the user; stepwise-review mode requires evidence and timeline confirmation.
  • Autonomous-review mode finishes with a low-bitrate review sample. If subtitles are requested, pause only when text, speaker attribution, or source-subtitle state genuinely needs confirmation. A review sample is not a formal export.
  • Treat identity binding and final export as separate approvals.

Signals

GitHub stars
126
Forks
8
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
cliptalk-interview-editor
Source
github.com/gml-mmgroup/cliptalk