Agent SkillsChatCut-Inc/agent-plugin › transcription

transcription

GitHub

处理音视频转录、字幕生成与样式调整。涵盖本地及S3资产导入后的转录进度追踪、文本搜索、字幕启用,以及针对卡住或失败状态的智能重试逻辑。

chatcut/skills/transcription/SKILL.md ChatCut-Inc/agent-plugin

Trigger Scenarios

用户请求为视频添加字幕或转录 需要清理说话人语音或去除填充词 检查转录就绪状态 从Codex启用字幕

Install

npx skills add ChatCut-Inc/agent-plugin --skill transcription -g -y
More Options

Non-standard path

npx skills add https://github.com/ChatCut-Inc/agent-plugin/tree/main/chatcut/skills/transcription -g -y

Use without installing

npx skills use ChatCut-Inc/agent-plugin@transcription

指定 Agent (Claude Code)

npx skills add ChatCut-Inc/agent-plugin --skill transcription -a claude-code -g -y

安装 repo 全部 skill

npx skills add ChatCut-Inc/agent-plugin --all -g -y

预览 repo 内 skill

npx skills add ChatCut-Inc/agent-plugin --list

SKILL.md

Frontmatter
{
    "name": "transcription",
    "description": "Use when a video\/audio task needs ChatCut transcription, captions, subtitles, subtitle styling, transcript search, transcript readiness checks, or enabling captions from Codex, 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 ChatCut 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:

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

For S3-backed assets imported through the helper, finalization starts ASR but does not wait. 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 Codex 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 Codex 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.

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:

{
  "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.

Version History

  • f85076d Current 2026-07-19 09:56

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