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Cut Silences

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nateherkai
cut-silences

Agent 1 of the video editing pipeline. Removes silences and dead air from a talking-head recording. Use when asked to cut silences, trim pauses, remove dead air / gaps, or tighten the pacing of a raw video, given a word-level transcript. Produces an edit list (EDL), a re-timed transcript for downstream agents, and optionally the cut video via ffmpeg. Does NOT cut mistakes, repeats, or false starts — that is the cut-mistakes agent.

Overview

Publishernateherkai
Repositoryhyperframes-student-kit
Skill namecut-silences
Stars
1.3K
Forks
388
Bundled files
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  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by nateherkai on GitHub. Read the source before you install it.

Installation

Install the Cut Silences AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/nateherkai/hyperframes-student-kit/tree/main/.agents/skills/cut-silences
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nateherkai/hyperframes-student-kit.git /tmp/hyperframes-student-kit
mkdir -p .claude/skills
cp -r /tmp/hyperframes-student-kit/.agents/skills/cut-silences .claude/skills/cut-silences
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cut Silences in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cut Silences on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cut Silences is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Cut Silences (Pipeline Agent 1)

First step of the automated edit. Takes a raw recording + its word-level transcript and removes only silence: dead air before the first word and after the last word, plus inter-word pauses longer than a threshold (trimmed down to a natural breath, never a hard zero-gap). It leaves the speaker's words untouched — false starts, retakes, and stutters are the cut-mistakes agent's job (Agent 2).

This agent is deterministic and transcript-driven, so its output (*.silence-transcript.json) feeds cleanly into the next agents and the beat-sync validator.

When to use

  • "cut the silences", "trim the pauses", "remove dead air", "tighten the pacing"
  • As the first stage of the master edit workflow, right after transcription.

Prerequisites

A word-level transcript JSON. Either the ElevenLabs Scribe shape ({ words: [{ text, start, end, type }], audio_duration_secs }) or a generic { words: [{ text, start, end }] }. Generate one with the workspace transcriber:

bash
node scripts/transcribe-elevenlabs.mjs path/to/raw.mp4    # -> path/to/raw.json

Usage

bash
# 1) Plan only — compute the cut, write EDL + re-timed transcript (no video touched)
node .agents/skills/cut-silences/scripts/cut-silences.mjs <transcript.json> \
  --out-dir video-projects/<slug>/assets

# 2) With a video — also write the ffmpeg command (still does not render yet)
node .agents/skills/cut-silences/scripts/cut-silences.mjs <transcript.json> \
  --video video-projects/<slug>/assets/raw.mp4 --out-dir video-projects/<slug>/assets

# 3) Render the cut video (local ffmpeg, re-encode, A/V kept in sync)
#    add --apply to actually run ffmpeg
node .agents/skills/cut-silences/scripts/cut-silences.mjs <transcript.json> \
  --video video-projects/<slug>/assets/raw.mp4 --apply \
  --output video-projects/<slug>/assets/edited-silenced.mp4

Options

FlagDefaultMeaning
--video <path>—Source video; enables the ffmpeg command / render
--out-dir <dir>next to transcriptWhere outputs are written
--output <path><video-stem>.silenced.mp4Cut-video path
--gap <s>0.55Minimum pause treated as trimmable silence
--head-pad <s>0.22Silence kept before the first word
--tail-pad <s>0.34Silence kept after the last word
--applyoffActually run ffmpeg to render the cut

How it decides (the silence rules)

  • Pauses below --gap (0.55s) are left alone — natural speech rhythm.
  • For a trimmed pause, a natural breath is kept, scaled by context: 0.24s for long pauses (≥2s), 0.20s after a sentence ender (. ! ?), 0.14s otherwise. The kept breath is biased slightly toward the end of the previous phrase.
  • Head/tail dead air is trimmed to --head-pad / --tail-pad.
  • Delete ranges are merged; keep ranges are the complement. The cut is rendered with an ffmpeg trim/atrim + concat filtergraph (written to a *.silence-filter.txt script and passed via -/filter_complex), so video and audio stay in sync.

Outputs (written to --out-dir)

FilePurpose
<stem>.silence-edl.jsonKeep/delete ranges, durations, params — the edit list
<stem>.silence-transcript.jsonWords re-timed onto the edited timeline (feeds Agent 2 + beats)
<stem>.silence-decisions.mdHuman-readable summary + largest pauses trimmed
<stem>.silence-filter.txtThe ffmpeg filtergraph (only with --video)
<video-stem>.silenced.mp4The cut video (only with --apply)

The JSON summary printed to stdout includes removed, removedPct, range counts, and output paths — useful for the master workflow to log and chain.

Tuning notes

  • Talking-head YouTube default (--gap 0.55) removes roughly 15-20% of a typical raw take as pure silence. Lower --gap for a punchier, faster cut; raise it to preserve more natural breathing room.
  • If a cut feels too aggressive at sentence boundaries, raise the sentence-break breath, or raise --gap.

Hand-off to the next agent

Pass <stem>.silence-transcript.json (and the silenced.mp4 if rendered) to the cut-mistakes agent. Because timestamps are already on the edited timeline, downstream beat timing and scripts/validate-beat-sync.mjs work without further adjustment.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cut Silences AI skill do?

Agent 1 of the video editing pipeline. Removes silences and dead air from a talking-head recording. Use when asked to cut silences, trim pauses, remove dead air / gaps, or tighten the pacing of a raw video, given a word-level transcript. Produces an edit list (EDL), a re-timed transcript for downstream agents, and optionally the cut video via ffmpeg. Does NOT cut mistakes, repeats, or false starts — that is the cut-mistakes agent.

Why use Cut Silences on TypingMind?

Because you install it once and use it with any model. Cut Silences is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cut Silences in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nateherkai/hyperframes-student-kit/tree/main/.agents/skills/cut-silences. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cut Silences?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cut Silences?

As many as you like. As long as a model supports skills, you can use Cut Silences with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cut Silences AI skill free?

It is published on GitHub by nateherkai. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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