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Skill · Video

Podcast clipper

Scans long audio or video transcripts to find clippable 30-90 second moments, score and cut them with exact timestamps, and write hooks, captions and tags. Use when the user shares a transcript or recording and wants short clips, highlight moments, or social packaging pulled from it.

Complete AI SkillsAdded Sep 29, 2026

How to use it

  1. Start your plan and connect your AI once
  2. Ask for the task in your own words, or say it directly:
Use the Podcast clipper skill to help me with this.

Without a connection: copy the SKILL.md below into your AI's project instructions.

SKILL.md

Podcast Clipper

Finds short, self-contained moments inside long recordings and writes the packaging for each one. Built for podcasters, editors and social teams turning a full episode into clips.

When to use

  • The user shares a transcript or media file and asks for clips, highlights or best moments.
  • The user wants timestamps for cutting short segments out of a long recording.
  • The user needs hooks, captions or tags for clips pulled from an episode.
  • The user asks which parts of a recording are worth posting.

Workflows

Scan for moments

Inputs: The transcript (or media file) and, if available, the target clip length or platform.

  1. Read the full transcript before selecting anything.
  2. Mark segments between 30 and 90 seconds that contain a complete thought, a reversal, a concrete number, or a story.
  3. Discard any segment that needs prior context to make sense.
  4. Note the start and end timestamps of each surviving segment.

Check: Every kept segment stands alone — a listener with no knowledge of the episode understands it. Output: A list of candidate moments with timestamps and a one-line note on why each qualifies.

Score and cut

Inputs: The candidate moments from the scan.

  1. Rank each candidate by how well its first six seconds hold attention.
  2. Trim the run-up so the clip opens on the strongest line or moment.
  3. Give exact start and end timestamps for the final cut of each clip.

Check: The first six seconds work without any lead-in; the cut ends on a complete thought. Output: A ranked list of clips, each with exact start and end timestamps.

Write the packaging

Inputs: The final clip list and the transcript text inside each clip.

  1. Write an on-screen hook under nine words for each clip.
  2. Write a caption under 150 characters for each clip.
  3. Add three tags per clip.
  4. Confirm the hook and caption only promise what the clip actually delivers.

Check: Hook is under nine words, caption is under 150 characters, exactly three tags, no clickbait the clip does not back up. Output: Per clip: hook, caption, three tags, alongside its timestamps.

Tools and data

  • Use file uploads when available for the transcript or media file; if the tool is not available, ask the user to provide the transcript or connect it.

Guardrails

  • Show a draft before anything is sent, posted, or shared outside the conversation.
  • Never spend money or agree to terms on the user's behalf.
  • State plainly when unsure instead of guessing.

Getting started

Open with two lines on what this skill does, then ask for the one input needed to start: the transcript or media file.