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supadatasupadata 分析

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

245

周安装

10

GitHub Stars

公开资料未说明

下载量

79
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:supadata(supadata 分析)
来源仓库:https://github.com/michailbul/laniameda-skills
仓库路径:skills/supadata
安装命令:
npx skills add https://github.com/michailbul/laniameda-skills --skill supadata
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/michailbul/laniameda-skills --skill supadata

简介

用于辅助数据整理、CSV/Excel 分析和指标计算,支持异常检测和统计口径生成。

  • 可清洗字段、汇总数据或转分析结果为说明,需确认数据来源和时间范围。
  • 避免将样本数据当作全量事实,敏感数据导出前应脱敏并确认权限。
  • 通过 npx 命令从指定仓库安装,适用于 Codex、Claude、Cursor 等宿主环境。
  • 建议先核对字段含义和导出边界,防止误操作影响生产数据或合规性。

SKILL.md

Supadata — Platform-Agnostic Video Transcript & Metadata

Purpose: Extract transcripts and metadata from any supported social video URL — Instagram, TikTok, YouTube, Twitter/X, Facebook — without opening a browser.

Always use this BEFORE browser-use-cloud for any video URL.


What This Skill Does

Calls the Supadata API to:

  1. Fetch transcript (spoken audio → text) from social videos
  2. Fetch metadata (title, author, description, engagement, duration)
  3. AI-extract structured data from a video (tools, prompts, workflows)

Supports: YouTube, Instagram, TikTok, Twitter/X, Facebook, direct video file URLs.


Trigger Conditions

Use this skill whenever:

  • User shares a video URL (Instagram reel, TikTok, YouTube, X video, Facebook)
  • User asks to "transcript", "transcribe", "watch", "digest", "summarize", "what does she say"
  • User asks "what's in this video" or "extract from this reel"
  • Any content ingestion task starting from a video link

Priority: Always try Supadata before browser-use-cloud.


Pre-Flight Check

echo "${SUPADATA_API_KEY:+SET}" || echo "MISSING"

If missing:

"I need SUPADATA_API_KEY. Add it to /root/.openclaw/.env and restart the gateway."

Auth header: x-api-key: $SUPADATA_API_KEY Base URL: https://api.supadata.ai/v1


Endpoints Reference

Transcript (primary — all platforms)

curl -s "https://api.supadata.ai/v1/transcript?url=<VIDEO_URL>&text=true" \
  -H "x-api-key: $SUPADATA_API_KEY"
  • text=true → plain text (use by default)
  • text=false → timestamped segments
  • lang=en → optional language hint

If response has jobId (async):

curl -s "https://api.supadata.ai/v1/transcript/<jobId>" \
  -H "x-api-key: $SUPADATA_API_KEY"

Poll until status = done. Wait 3–5s between polls.

Metadata (all platforms)

curl -s "https://api.supadata.ai/v1/metadata?url=<VIDEO_URL>" \
  -H "x-api-key: $SUPADATA_API_KEY"

Returns: title, author, description, engagement metrics, thumbnail, duration.

AI Extract (structured data from video)

Use when you need structured output — extract tools, prompts, workflows:

curl -s "https://api.supadata.ai/v1/extract" \
  -X POST \
  -H "x-api-key: $SUPADATA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "<VIDEO_URL>",
    "prompt": "Extract all prompts, workflows, and tool names shown or mentioned in this video."
  }'
# Returns jobId → poll /v1/extract/<jobId>

YouTube-specific (better quality for YouTube)

curl -s "https://api.supadata.ai/v1/youtube/transcript?url=<YOUTUBE_URL>&text=true" \
  -H "x-api-key: $SUPADATA_API_KEY"

Platform Routing

URL patternTranscript endpointMetadata endpoint
youtube.com / youtu.be/v1/youtube/transcript/v1/youtube/video
instagram.com/v1/transcript/v1/metadata
tiktok.com/v1/transcript/v1/metadata
twitter.com / x.com/v1/transcript/v1/metadata
facebook.com / fb.com/v1/transcript/v1/metadata

Execution Protocol

  1. Check API key — fail fast if missing
  2. Detect platform from URL
  3. Fetch metadata first — fast, often has description with full workflow text
  4. Fetch transcript — plain text, async if jobId returned
  5. If transcript fails → try /v1/extract with descriptive prompt
  6. Deliver output → combine metadata + transcript
  7. If user said "digest" → hand off to youtube-digest skill at Step 3

Fallback Chain

Supadata transcript → Supadata AI extract → browser-use-cloud → manual

Never skip to browser-use-cloud while Supadata paths are viable.


Output Format

**[Title]** — @[author] ([platform])

**Transcript:**
[full plain-text transcript]

**Metadata:**
- Duration: Xs
- Description: [text]
- Tags: [list]

Hard Rules

  • Always Supadata first. Never browser for video URLs without trying this.
  • If transcript unavailable → use /v1/extract before giving up.
  • If video is non-English → return as-is, optionally translate.
  • If jobId returned → poll to completion, don't return empty result.
  • Always report which path was used (transcript / extract / fallback).

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.04%
按下载量换算28

Claude

29.52%
按下载量换算23

Cursor

19.28%
按下载量换算15

Gemini CLI

10.06%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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