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Agent skill

Transcription

by 0xsline in 0xsline/OpenChatCut

A skill your agent uses when a video/audio task needs OpenChatCut transcription, captions, subtitles, subtitle styling, transcript search, transcript readiness checks, or enabling captions…

AGPL-3.0Auto-check passedMedia & Creative

Install Transcription

skills CLI
$ npx skills add 0xsline/OpenChatCut --skill transcription -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install 0xsline/OpenChatCut transcription --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/agent/skills/transcription .claude/skills/transcription && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
transcription
GitHub stars
2.2k
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
557 words
Files
1
Skills in repo
31
Repo updated
First seen
Licence
AGPL-3.0

At a glance

A skill your agent uses when a video/audio task needs OpenChatCut transcription, captions, subtitles, subtitle styling, transcript search, transcript readiness checks, or enabling captions…

  • Works in 5 steps: read_project with view: "assets" to get… → If this is a fresh client-held import,… → Call track_progress with action:"wait",… → …
  • A video/audio task needs OpenChatCut transcription
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Subtitle styling

What it does

Transcription is an agent skill from 0xsline/OpenChatCut. Use when a video/audio task needs OpenChatCut transcription, captions, subtitles, subtitle styling, transcript search, transcript readiness checks, or enabling captions, including local or attached videos where the user asks to add captions/subtitles, transcribe, create bilingual subtitles, clean talking-head speech, remove filler words, or trim pauses.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative, covering Transcription. The repository describes itself as: Open-source, local-first conversational AI video editor with a professional multi-track timeline, Agent Skills, MCP integration, and Remotion rendering. The licence is AGPL-3.0.

When your agent uses it

  • A video/audio task needs OpenChatCut transcription
  • Subtitle styling
  • Transcript search
  • Transcript readiness checks

Example prompts

  • “/transcription”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. read_project with view: "assets" to get the video/audio asset ID and transcript status.
  2. If this is a fresh client-held import, make sure it went through import_media action=create_session plus the OpenChatCut media import…
  3. Call track_progress with action:"wait", target:"transcription", and assetIds set to the asset ID or prefix.
  4. Use find_transcript to search transcript text and confirm word timestamps.
  5. Use edit_captions action enable or read_captions as needed once transcription is ready.

What it can do on your machine

Read from SKILL.md and the folder at commit 2e6f4a2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Transcription loads about 1.1k tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 557 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from 0xsline/OpenChatCut at commit 2e6f4a2, republished under its AGPL-3.0 licence (© 0xsline). 557 words, ~1,138 tokens.

Download SKILL.mdSave it as .claude/skills/transcription/SKILL.md (or your agent's skills folder).
name
transcription
description
Use when a video/audio task needs OpenChatCut transcription, captions, subtitles, subtitle styling, transcript search, transcript readiness checks, or enabling captions, including local or attached videos where the user asks to add captions/subtitles, transcribe, create bilingual subtitles, clean talking-head speech, remove filler words, or trim pauses.

Transcription

For newly imported local/client-held media, use import_media to start transcription, then wait with track_progress.

Typical flow:

  1. read_project with view: "assets" to get the video/audio asset ID and transcript status.
  2. If this is a fresh client-held import, make sure it went through import_media action=create_session plus the OpenChatCut media import helper.
  3. Call track_progress with action:"wait", target:"transcription", and assetIds set to the asset ID or prefix.
  4. Use find_transcript to search transcript text and confirm word timestamps.
  5. Use edit_captions action enable or read_captions as needed once transcription is ready.

Example:

json
{
  "action": "wait",
  "target": "transcription",
  "assetIds": "13c1aa02cd"
}

Uploaded assets start ASR automatically on ingest, but nothing waits for it. Always use track_progress for readiness.

For local-only video assets with local-only; original upload deferred in read_project, transcription cannot run until the bytes are reachable by the backend. Import the source again via the asset-import skill (which uploads to S3) or download_media from a public URL; do not ask the user to relink it manually in the editor.

Stuck Transcription And Retry

Do not declare transcription stuck from one non-terminal status. Base the decision on both asset length and the time the agent has actually waited in this task.

  1. Read the asset with read_project view: "assets" and note its duration when available.
  2. Start counting elapsed wait time from the first track_progress action:"wait" or from the earliest reliable in-task timestamp where the agent observed transcription as pending/running.
  3. If transcription reports an explicit failed, errored, or timed-out terminal state, retry immediately after confirming the asset is remote-ready and is video/audio.
  4. If transcription remains pending/running with no failure, treat it as stuck only after elapsed wait time exceeds max(5 minutes, min(60 minutes, 2 × asset duration)). For example, wait at least 5 minutes for a 30-second clip, about 20 minutes for a 10-minute asset, and about 60 minutes for a 1-hour or longer asset.
  5. If duration is unknown, wait at least 10 minutes across more than one track_progress call before treating it as stuck, unless the tool reports an explicit failure.
Show full SKILL.md (222 more words)Show less

When stuck, use manage_transcript with action: "retry_transcription" and the asset id/prefix. This force-retries ASR for audio/video assets and starts a new transcription run; it does not wait for completion. After retrying, call track_progress with target:"transcription", action:"wait", and the returned or same asset id before reading transcripts or captions.

Example retry:

json
{
  "action": "retry_transcription",
  "asset": "13c1aa02cd"
}

If captions read back as empty, check the source-time range of the timeline clip. A transcript can be ready while the current visible clip starts before the first spoken word; add or trim a clip so the transcribed source words fall inside the timeline range, then extend/update the captions item duration if needed.

Use the raw tools when you need finer control:

  • track_progress with target: "transcription" for status/wait.
  • find_transcript for query-based transcript lookup.
  • read_captions and edit_captions for caption display edits.
  • manage_transcript action fix for source transcript repair.
  • manage_transcript action retry_transcription to force-retry ASR after a transcription is stuck, timed out, or failed.
  • clean_script for mechanical timeline playback cleanup of fixed fillers and batch pauses after transcript-ready media is on the timeline.

When a transcript-ready request becomes an editorial talking-head edit, follow the public-safe talking-head workflow in shared talking-head-guide. In short: use clean_script only for mechanical cleanup, then use Script (read_script -> edit timeline.md -> apply_script) for semantic repeated-take, silence, filler, or coherence edits, and verify the resulting script rather than trusting tool success alone.

© 0xsline, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in src/agent/skills/transcription of 0xsline/OpenChatCut.

Open the folder on GitHubat commit 2e6f4a2

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in 0xsline/OpenChatCut, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Transcription next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Transcription compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Transcription this skill0xsline/OpenChatCut2.2k1 repos~1.1kAutomated safety check: PassAGPL-3.0
HyperFrames Media Useheygen-com/hyperframes60k—~2.4kAutomated safety check: PassApache-2.0
Native Subtitle Quote Imagechengyi-ai/native-subtitle-quote-image2.6k—~2.4kAutomated safety check: PassMIT
Edu Chem Videowy51ai/edulab1.4k—~2.1kAutomated safety check: NotesApache-2.0
Transcription Memory ReconstructionNxcoreAI/EverRoom3k—~714Automated safety check: PassCustom licence
Edu Math Videowy51ai/edulab1.4k—~2.5kAutomated safety check: NotesApache-2.0

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  • Livestream to Clips

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Categories

Questions about Transcription

What does Transcription do?

A skill your agent uses when a video/audio task needs OpenChatCut transcription, captions, subtitles, subtitle styling, transcript search, transcript readiness checks, or enabling captions…. Transcription is an agent skill from 0xsline/OpenChatCut. Use when a video/audio task needs OpenChatCut transcription, captions, subtitles, subtitle styling, transcript search, transcript readiness checks, or enabling captions, including local or attached videos where the user asks to add captions/subtitles, transcribe, create bilingual subtitles, clean talking-head speech, remove filler words, or trim pauses.

When should I use Transcription?

Transcription fits situations like: A video/audio task needs OpenChatCut transcription; subtitle styling; transcript search; transcript readiness checks.

How do I install Transcription in Claude Code?

Run `npx skills add 0xsline/OpenChatCut --skill transcription -a claude-code`. Or copy the skill folder (src/agent/skills/transcription in 0xsline/OpenChatCut) into .claude/skills/transcription in your project. Claude Code loads it when a task matches its description.

How do I install Transcription in Codex?

Run `npx skills add 0xsline/OpenChatCut --skill transcription -a codex`. Or copy the skill folder (src/agent/skills/transcription in 0xsline/OpenChatCut) into .agents/skills/transcription in your project. Codex loads it when a task matches its description.

Can I use Transcription in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add 0xsline/OpenChatCut --skill transcription -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/transcription, .gemini/skills/transcription, .github/skills/transcription and .opencode/skills/transcription in your project.

What does Transcription need to run?

SKILL.md names no scripts, command-line tools or credentials: Transcription is instructions for the agent only.

Does Transcription access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Transcription safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Transcription use?

Transcription is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Transcription use?

About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Transcription?

Skills that share tags, products or a category with Transcription: HyperFrames Media Use (heygen-com/hyperframes, 60k stars), Native Subtitle Quote Image (chengyi-ai/native-subtitle-quote-image, 2.6k stars), Edu Chem Video (wy51ai/edulab, 1.4k stars) and Transcription Memory Reconstruction (NxcoreAI/EverRoom, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Transcription?

0xsline (a GitHub user) maintains it in 0xsline/OpenChatCut, which has 2,235 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on October 7, 2026.

Source: 0xsline/OpenChatCut on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.