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Ra 逐字稿提取Skill

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Pluviobyte
ra-逐字稿提取skill

视频内容逐字稿提取专用 skill。Use when the user provides a 抖音 or 小红书 URL and asks for逐字稿、视频转文字、听写视频或提取口播内容。Only extract transcript content; do not use this skill as the production subtitle clock, and do not summarize, rewrite, translate, title, or start production. Uses qushuiyin plus Paraformer ASR.

Overview

PublisherPluviobyte
Repositoryrnskill
Skill namera-逐字稿提取skill
Stars
1.6K
Forks
181
Bundled files
2
Links
  • 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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Ra 逐字稿提取Skill 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.
  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.

Use it in TypingMind

Enable Ra 逐字稿提取Skill 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 Ra 逐字稿提取Skill 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 Ra 逐字稿提取Skill 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.

ra-逐字稿提取skill

Goal

Extract a faithful Markdown transcript from a 抖音 or 小红书 video URL.

This skill is intentionally narrow and lightweight:

  • resolve the video URL with qushuiyin
  • send the resolved media URL to 阿里云百炼 Paraformer
  • write a Markdown transcript to 01-内容生产/视频工作台/.internal/洗稿/(源隐私区——提取件默认按他人内容对待,源标题不得落入公开目录)
  • print the complete transcript in the conversation

For final-video subtitle synchronization, route to ra-audio-to-subtitles. Paragraph-level transcript timestamps from this skill are not production caption timing.

Do not summarize, rewrite, translate, adapt, title, distribute, or start video production.

Locate The Skill

bash
ZT_HOME="$(
  for d in "$(pwd)/.codex/skills/ra-逐字稿提取skill" \
           "$(pwd)/.agents/skills/ra-逐字稿提取skill" \
           "$(pwd)/.claude/skills/ra-逐字稿提取skill" \
           "$HOME/.codex/skills/ra-逐字稿提取skill" \
           "$HOME/.agents/skills/ra-逐字稿提取skill" \
           "$HOME/.claude/skills/ra-逐字稿提取skill"; do
    [ -f "$d/SKILL.md" ] && echo "$d" && break
  done
)"
export ZT_HOME

Use "$ZT_HOME/scripts/transcript.py" for every operation.

Workflow

  1. Optional health check:

    bash
    python3 "$ZT_HOME/scripts/transcript.py" --doctor
  2. Extract transcript:

    bash
    python3 "$ZT_HOME/scripts/transcript.py" "<抖音或小红书视频URL>"
  3. If the URL is not 抖音/小红书, or if qushuiyin/Paraformer fails, stop and report the exact error. Do not try another extraction pipeline inside this skill.

Required Config

Keys are read from the project root .env first:

bash
QUSHUIYIN_API_BASE=https://api.guijianpan.com
QUSHUIYIN_API_KEY=...
DASHSCOPE_API_KEY=...
PARAFORMER_MODEL=paraformer-v2
PARAFORMER_POLL_INTERVAL_SECONDS=3
PARAFORMER_TIMEOUT_SECONDS=240

PARAFORMER_API_KEY may be used instead of DASHSCOPE_API_KEY.

Hard Rules

  • Preserve spoken content as ASR text. Do not rewrite it into a better script.
  • Keep paragraph-level timestamps when Paraformer returns sentence timing.
  • Save transcripts by default to 01-内容生产/视频工作台/.internal/洗稿/(隐私区). Only write into 逐字稿/ when the user explicitly says the video is their own work(此时用 --output-dir 指定);逐字稿/ 的写入白名单见其 README.
  • Show the full transcript in the conversation after extraction.
  • Do not call other creation, rewriting, title, image, distribution, or video-production skills during this task.

Command Options

bash
python3 "$ZT_HOME/scripts/transcript.py" "<url>" \
  --title "<optional title>" \
  --output-dir "<optional output dir>"

Use --no-save only when the user explicitly does not want a .md file.

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 Ra 逐字稿提取Skill AI skill do?

视频内容逐字稿提取专用 skill。Use when the user provides a 抖音 or 小红书 URL and asks for逐字稿、视频转文字、听写视频或提取口播内容。Only extract transcript content; do not use this skill as the production subtitle clock, and do not summarize, rewrite, translate, title, or start production. Uses qushuiyin plus Paraformer ASR.

Why use Ra 逐字稿提取Skill on TypingMind?

Because you install it once and use it with any model. Ra 逐字稿提取Skill 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 Ra 逐字稿提取Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Pluviobyte/rnskill/tree/main/skills/ra-逐字稿提取skill. 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 Ra 逐字稿提取Skill?

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 Ra 逐字稿提取Skill?

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

Is the Ra 逐字稿提取Skill AI skill free?

It is published on GitHub by Pluviobyte. 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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