抖音文案提取 · 视频说

SKILL内容创作
内容创作 未标注权限 许可证不明确 已核验
安装这个技能

粘贴抖音、小红书、B站或 YouTube 视频链接,提取口播文案、视频转文字,导出带时间轴的逐字稿或 SRT/VTT 字幕。支持多个链接批量处理。需要视频说(Videosays)账号及可用分钟数。

一句话选型结论

按资料字段整理

抖音文案提取 · 视频说是内容创作类的 Agent Skill,安装方式:ClawHub 市场,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类内容创作 安装方式ClawHub 市场 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

ClawHub 市场
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_e17b951e/videosays
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

内容创作
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_e17b951e仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式ClawHub 市场安装包 clawhub
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791680579
正文体量8.1 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
写文章与脚本

按主题产出初稿与分镜脚本。

改稿与润色

把草稿改顺、统一语气。

多平台文案改写

同一内容按平台改成长短不同的版本。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 已做过站内核验,页面字段与仓库对得上。
  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在内容创作场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
抖音文案提取 · 视频说当前 未标注权限 ClawHub 市场 未标注 未标注 有
AI 视频生成 调用外部服务 GitHub 仓库 431.3 万 Codex、Claude、Cursor 有
视频帧 联网访问 ClawHub 市场 262.1 万 OpenClaw 有
Markdown 转换器 写入文件 ClawHub 市场 135.3 万 OpenClaw 有
哔哩哔哩全合一 接触敏感数据 ClawHub 市场 64.1 万 OpenClaw 有
Remotion video toolkit 命令行 浏览器控制 ClawHub 市场 63.9 万 OpenClaw 有

SKILL.md 全文

8.1 KB
模型实际读到的说明书原文,来自技能仓库

Videosays Video to Text

Use npx -y videosays@latest to submit video links and retrieve transcript text or subtitles. Commands resolve the current npm latest release at execution time, so a CLI update does not require republishing this Skill. The CLI sends the configured API key and submitted links/share text to the configured Videosays API. CLI source: https://github.com/xwchris/videosays-agent-tools/tree/main/packages/cli .

Accept video links or copied share text when the user asks for a spoken script, transcript, or subtitle file. The CLI does not accept local video files. Source accessibility and supported content depend on the service response.

Language and API

  • Reply in the user's language: Chinese for Chinese requests, English for English requests. Explain CLI errors in that language; preserve command names, task IDs, and subtitle timestamps.
  • Return the actual transcript in its original language. Summarize or translate it only when requested, and distinguish that work from the source transcript.
  • The CLI's default API is https://api.videosays.cn, serving the same backend and accounts as .com. Language does not select a different backend. Honor an explicitly configured VIDEOSAYS_API_URL.
  • Existing global installations can update with npm install -g videosays@latest. Skill commands use npx -y videosays@latest, which resolves the current published CLI without relying on a globally installed copy. Honor an explicit VIDEOSAYS_API_URL and never switch domains automatically.

Requirements

  • Node.js 18 or newer
  • npx

Authentication

Before the first transcription in a session, run:

npx -y videosays@latest whoami

If authentication is missing, run:

npx -y videosays@latest login

Ask the user to open the printed authorization URL, sign in, and approve the CLI. If the user explicitly provides an API key, run npx -y videosays@latest login --api-key "$VIDEOSAYS_API_KEY". Never print or reveal the API key.

Single Link

Submit one link:

VIDEOSAYS_CLIENT_SURFACE=agent_skill VIDEOSAYS_CLIENT_NAME=videosays-skill npx -y videosays@latest transcribe "<video-link-or-share-text>"

Submission returns quickly. It normally prints:

VIDEOSAYS_TASK_PENDING
task_id=<task-id>
status=<status>
next=videosays status <task-id>

Capture task_id. Wait a reasonable interval, then run the printed one-shot status command:

npx -y videosays@latest status "<task-id>"

If the task is still running, status immediately prints its current state and the next command. Repeat status checks until the command prints transcript content or a stable error. Preserve the requested format on status checks:

npx -y videosays@latest status "<task-id>" --format timeline
npx -y videosays@latest status "<task-id>" --format srt
npx -y videosays@latest status "<task-id>" --format vtt

Each submission gets a client-generated submissionId sent as Idempotency-Key. If a command ends ambiguously, repeat the same command with the same --submission-id <uuid>; the server returns the original Task safely. Equivalent active work for the same account is reused, and completed work is reused by default. Use --force-new only when a fresh transcription is intentional. Treat transcribe only as creation: capture its returned server Task ID and use status for every later check. Never resubmit a link as a status check with a new submission id.

The CLI automatically retries a transient network disconnect with the same submission ID while rotating resolved API addresses. It does not retry an explicit HTTP error and never changes domains. If the command still ends before printing a Task ID, do not resubmit with a new id. Retry with the same --submission-id when it is available; otherwise check npx -y videosays@latest history for a recent matching task and report the ambiguous outcome if it cannot be recovered.

Multiple Links

When the user provides two or more links, use one server batch. Never build a shell loop, use xargs, start parallel transcribe commands, or submit the links individually.

  1. Write one link or share text per line to a temporary text file. Duplicate lines keep their batch positions, while their effective status/result follows the canonical Task by default. Use --force-new when the user explicitly requests duplicate processing.
  2. Submit once:
VIDEOSAYS_CLIENT_SURFACE=agent_skill VIDEOSAYS_CLIENT_NAME=videosays-skill npx -y videosays@latest batch links.txt
  1. Capture the server-generated batchId from stdout.
  2. Wait a reasonable interval, then make a one-shot status request:
npx -y videosays@latest batch status "<batch-id>"
  1. Repeat status checks until the batch reaches completed, partial, failed, cancelled, or paused. Stop polling when paused and explain what is needed to continue.

While a batch is running, batch status uses a lightweight status response. When the batch finishes, the CLI retrieves the complete results once. Do not replace this with per-Task polling.

Every batch <file> submission sends a client-generated Idempotency-Key. Repeat an ambiguous submission with the same --submission-id <uuid> to receive the original server Batch ID; an equivalent active batch for the same account also converges on one Batch ID. Completed work is reused by default. Use --force-new only for an intentional fresh batch. Batch submission and status commands return promptly. Do not rerun the input file as a status check, do not invent a Batch ID, and do not use batch resume.

If batch submission ends before printing a Batch ID, do not automatically submit the file with a new id: the server may already have accepted it. Retry with the same --submission-id if one is available; otherwise check recent tasks and report the ambiguous outcome if it cannot be recovered.

Videosays creates every batch item as an ordinary Task and runs those Tasks through the normal queue. Each Task must reserve credit atomically before provider submission, so the balance cannot be overspent. If the batch reports paused, continuation.required, or stopReason: insufficient_credits, completed Tasks are preserved and unstarted Tasks may be skipped. Ask the user to top up, then after confirmation run:

npx -y videosays@latest batch continue "<batch-id>"

Then continue using batch status with the same Batch ID.

Optional Interactive Waiting

Only use --wait when a human explicitly wants the terminal to remain attached:

npx -y videosays@latest transcribe "<video-link>" --wait
npx -y videosays@latest batch links.txt --wait

Agents must use the default immediate-return workflow so every tool call produces prompt, structured stdout.

Other Commands

npx -y videosays@latest balance
npx -y videosays@latest history
npx -y videosays@latest doctor
npx -y videosays@latest batch cancel "<batch-id>"

Errors

Read stderr when a command exits non-zero. Do not treat error output or a pending receipt as transcript content.

Error: <message>
Code: <error-code>
Next: <recommended-command>
Recharge: <billing-url>

For insufficient_credits, do not repeatedly resubmit. Report the balance issue and recharge URL. For media or link errors such as media_resolve_failed, media_unavailable, or media_inaccessible, ask for another accessible video link.

For connection errors, run npx -y videosays@latest doctor and share its output with support. The command probes the configured API's resolved addresses without sending the API key.

Links

  • Website (China): https://videosays.cn/?utm_source=videosays_skill&utm_medium=agent_skill&utm_campaign=videosays_agent_skill
  • API: https://api.videosays.cn
  • API docs: https://videosays.cn/docs?utm_source=videosays_skill&utm_medium=agent_skill&utm_campaign=videosays_agent_skill&utm_content=api_docs
  • Global website: https://videosays.com
  • CLI: https://www.npmjs.com/package/videosays

常见问题

5 问
答案由本站依据条目字段整理
抖音文案提取 · 视频说怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_e17b951e/videosays。安装方式为ClawHub 市场。装完刷新技能列表或重开客户端。

抖音文案提取 · 视频说支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

抖音文案提取 · 视频说权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

抖音文案提取 · 视频说收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

抖音文案提取 · 视频说用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。