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BRAINIALL 说话人分离转录

通过计费的 BRAINIALL API,将一个明确授权的巴西葡萄牙语或西班牙语音频/视频文件转换为带说话人标签的 JSON、SRT 和 WebVTT 字幕,包含单词时间戳,且不自动重试。

BRAINIALL 说话人分离转录 是什么?

该技能用于将明确授权的巴西葡萄牙语或西班牙语音频/视频文件转换为带说话人标签的转录和字幕文件。它通过外部计费 API 生成 JSON、SRT 和 WebVTT 格式的输出,包含单词级时间戳和匿名说话人轮换标签。支持的输入格式包括 .mp3、.wav、.m4a、.mp4、.mpeg、.mpga、.webm、.ogg,文件大小上限为 25MB。在调用前必须确认录音授权和相关知情同意,且 API 密钥需通过环境变量 `BRAINIALL_API_KEY` 设置。每次请求仅发送一条,且不会自动重试,以避免重复计费,但生成的说话人标签不代表生物识别身份,需人工审核。在 Claude Code、Cursor、Codex 等支持自定义技能的 AI Agent 平台上使用。

兼容平台✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/brainiall-diarized-transcription

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打开一个已预加载此 Agent Skill 的新对话。

文档

BRAINIALL 说话人分离转录 是做什么的?

当智能体需要将一个明确授权的巴西葡萄牙语或西班牙语录音转换为可审阅的转录和字幕制品时,使用此技能。上游仓库提供了一个无依赖的 Node.js 22 客户端、模拟测试、公开的 OpenAPI 契约,以及包含单词时间戳和匿名说话人轮换标签的 JSON、SRT 和 WebVTT 输出。

BRAINIALL 端点是一个外部计费 API。在选择媒体之前,工作流程要求确认录音授权以及任何适用的说话人通知或同意。它接受一个本地常规的 .mp3、.wav、.m4a、.mp4、.mpeg、.mpga、.webm 或 .ogg 文件,大小不超过 25 MB。拒绝目录、通配符、符号链接、远程 URL、不支持的语言、已存在的输出目录以及缺少的确认。专用可撤销密钥存储在 BRAINIALL_API_KEY 环境变量中;密钥、媒体、转录、文件名以及上游响应体不记录在日志中。

客户端发送恰好一个请求,diarize=true。它永远不会自动重试模糊的上传,因为另一个请求可能产生另一个费用。仍需人工审核:说话人标签指示轮换,而非生物识别身份,生成的单词和时间可能出错。

安装

先克隆并检查上游源代码,然后再安装。这可以避免在安装路径中执行未经固定的第三方包:

git clone https://github.com/fasuizu-br/brainiall-transcription-skill.git
cd brainiall-transcription-skill
git rev-parse HEAD
npm test

审查签出的源代码和测试结果后,使用智能体宿主记录的安装过程,将 skills/brainiall-diarized-transcription 复制到本地技能目录。克隆目录本身不是宿主机的技能目录。

使用前请查阅公开源代码和测试。通过已安装的上游 SKILL.md 中特定于技能的设置链接创建或管理所需账户,并在任何实时请求之前检查当前价格和余额。

调用

在技能安装完毕,并确认了授权、费用、输入、语言和输出路径后,其捆绑的客户端在上游 SKILL.md 所在目录下运行:

node scripts/transcribe.mjs \
  --input /absolute/path/to/authorized-recording.wav \
  --language pt \
  --output-dir /absolute/path/to/new-output-directory \
  --rights-and-consent

除非用户明确要求显示敏感的转录内容,否则仅报告输出路径和说话人/单词数量。

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

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Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

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Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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