AgentSkillsCN

transcript

通过 Deepgram 将 YouTube 视频转录为文本（音频转文本/JSON），并可选生成 Claude 概要。适用于用户提供 YouTube 视频链接以进行转录时使用。

SKILL.md
--- frontmatter
name: transcript
description: Transcribe YouTube videos via Deepgram (audio to txt/json) with optional Claude summary. Use when user provides YouTube URL for transcription.

Transcribe YouTube videos via Deepgram with optional Claude summary.

Requires Deepgram API key in keyring:

bash
chezmoi secret keyring set --service=deepgram --user=api_key

Run

bash
uv run ~/.config/opencode/skill/util-transcript/scripts/transcript.py "<youtube_url>"

Use a 10-minute timeout (600 seconds) when running this script.

Discovery (no URL required):

bash
uv run ~/.config/opencode/skill/util-transcript/scripts/transcript.py --list-prompts
uv run ~/.config/opencode/skill/util-transcript/scripts/transcript.py --list-models
uv run ~/.config/opencode/skill/util-transcript/scripts/transcript.py --help

Choose flags from user intent

Default behavior: Script defaults to follow_along_note prompt. Just provide the URL.

  • •Default (user gives URL only) → run with just <url> (script defaults to follow_along_note)
  • •Transcript only (user explicitly says "transcript only" or "no summary") → add --no-prompt
  • •Different prompt requested (user says short_summary, summary_with_quotes, etc.) → add --prompt <stem>
  • •Model requested (user says haiku/sonnet/opus) → add:
    • •haiku → --model claude-haiku-4-5
    • •sonnet → --model claude-sonnet-4-5
    • •opus → --model claude-opus-4-5
  • •If user asks "what prompts/templates exist?" → run --list-prompts, return the list, and ask which one to use.
  • •If user asks "what models can I use?" → run --list-models, return the list, and ask which one to use.

Shorthand input mapping

Examples:

bash
# User: transcript https://www.youtube.com/watch?v=2QpXab8z_Gw
# (default: follow_along_note prompt)
uv run ~/.config/opencode/skill/util-transcript/scripts/transcript.py "https://www.youtube.com/watch?v=2QpXab8z_Gw"

# User: transcript, short_summary, haiku, https://www.youtube.com/watch?v=2QpXab8z_Gw
uv run ~/.config/opencode/skill/util-transcript/scripts/transcript.py --prompt short_summary --model claude-haiku-4-5 "https://www.youtube.com/watch?v=2QpXab8z_Gw"

# User: transcript only, https://www.youtube.com/watch?v=2QpXab8z_Gw
uv run ~/.config/opencode/skill/util-transcript/scripts/transcript.py --no-prompt "https://www.youtube.com/watch?v=2QpXab8z_Gw"

Outputs

  • •The script creates a timestamped output folder (it prints the path and opens it in Finder on macOS).
  • •Key files: {prompt}.md, raw_transcript.txt, raw_sentences.txt, raw_transcript.json, meta.txt.

For runtime requirements and validation steps, see ~/.config/opencode/skill/util-transcript/README.md.

Don't READ the final answer. The user can already see it in the terminal.