Meeting Assistant

用于构建和排查 SenseAudio 会议助手，覆盖实时会议转写、说话人区分、实时翻译、会议纪要生成、行动项提取与转录导出。Build and troubleshoot SenseAudio meeting assistants for live meeting transcription, speaker-aw...

Security Scan

The skill's requirements and runtime instructions are coherent with a SenseAudio meeting assistant: it only needs a SenseAudio API key and documents how to call SenseAudio endpoints for realtime and offline transcription, diarization, translation, and note generation.

Purpose & Capability

Name/description match the required credential and documented endpoints. The single required env var SENSEAUDIO_API_KEY and the referenced API URLs (api.senseaudio.cn / wss://api.senseaudio.cn) are appropriate for a meeting transcription/assistant skill.

Instruction Scope

SKILL.md and reference files instruct the agent to upload audio, open WebSocket sessions, and persist session identifiers and final segments for summarization. These actions are expected for the stated purpose, but they do involve transmitting user audio and metadata to the SenseAudio service and optionally storing logs/session ids—users should be aware of privacy/retention implications.

Install Mechanism

Instruction-only skill with no install spec or code to write to disk. This is the lowest-risk install model and matches the skill content.

Credentials

Only one required environment variable (SENSEAUDIO_API_KEY) is declared and used. That credential is necessary and proportionate for calling the documented SenseAudio REST/WebSocket APIs.

Persistence & Privilege

always is false and the skill does not request any elevated platform privileges or modify other skills. It allows autonomous invocation by default, which is standard for skills and consistent with its purpose.

Assessment

This skill appears internally consistent and will send meeting audio and transcript data to SenseAudio endpoints using the SENSEAUDIO_API_KEY you provide. Before installing, confirm you trust https://nightly.senseaudio.cn, review its data-retention and privacy policy, and avoid uploading highly sensitive audio unless the vendor's handling meets your requirements. Protect and rotate the API key like any secret. If you need the skill to avoid sending raw audio to an external service, request an offline/local-only workflow or inspect for a local-processing variant.

SenseAudio 会议助手 / SenseAudio Meeting Assistant

使用这个 skill 来构建基于 SenseAudio ASR 的会议类工作流。 Use this skill to build meeting-focused workflows on top of SenseAudio ASR.

先读哪些文件 / Read First

• references/realtime-workflow.md - 实时会议的 WebSocket 转写流程 / realtime WebSocket transcription flow for live meetings
• references/offline-meeting-transcription.md - 录音文件的 HTTP 转写、说话人分离、时间戳与翻译 / HTTP transcription with diarization, timestamps, sentiment, and translation
• references/note-generation.md - 如何把转写结果整理成会议纪要、决策与行动项 / how to turn transcripts into structured meeting notes, decisions, and action items
• references/examples.md - 常见会议助手场景的最小实现示例 / minimal examples for common meeting assistant tasks

按用户需求只加载必要的参考文件，不要一次性全读。 Load only the reference file(s) needed for the user's request.

适用场景 / When To Use

当用户需要以下能力时，使用这个 skill： Use this skill when the user wants any of the following:

• 实时会议字幕或实时转写 / live meeting captions or realtime transcripts
• 带说话人区分的会议记录 / speaker-separated meeting records
• 双语会议输出或会中翻译 / bilingual or translated meeting output
• 会议摘要、决策提取、行动项整理 / meeting summaries, decisions, and action items
• 基于会议音频或识别历史构建可搜索归档 / searchable archives built from meeting audio or ASR history
• 将 SenseAudio ASR 与 LLM 摘要能力结合的会议助手 / a meeting copilot combining SenseAudio ASR with LLM summarization

能力路由 / Capability Routing

优先选择满足需求的最小实现。 Choose the smallest implementation that satisfies the request.

1. 实时会议助手 / Live meeting assistant → 读取 references/realtime-workflow.md
2. 录音会议处理 / Recorded meeting processing → 读取 references/offline-meeting-transcription.md
3. 音质预检 / Audio quality triage → 先走音频质量分析接口
4. 历史记录查询 / Historical transcript lookup → 使用识别记录查询接口
5. 纪要与行动项整理 / Structured notes and actions → 再读取 references/note-generation.md

默认工作流 / Default Workflow

1. 先判断会议模式 / Pick meeting mode:

• 直播中 / 开会中 → 使用 WebSocket 实时识别 / live meeting → WebSocket realtime ASR
• 已有录音文件 → 使用 HTTP 文件转写 / uploaded recording → HTTP transcription

2. 再选择识别模型 / Choose recognition settings:

• sense-asr-pro：默认首选，适合会议场景，支持说话人分离、时间戳、情感与翻译 / best default for meetings needing diarization, timestamps, sentiment, and translation
• sense-asr：适合需要翻译但对会议增强能力要求较轻的场景 / useful when translation is needed but meeting constraints are lighter
• sense-asr-deepthink：适合实时 WebSocket 或更偏翻译理解的场景 / suitable for realtime WebSocket or translation-heavy semantic cleanup

3. 先构造最小可用请求 / Build a minimal valid request first:

• 加上 Authorization: Bearer <SENSEAUDIO_API_KEY>
• 先只保留必填参数 / keep only required fields initially
• 只有在确实需要时再开启说话人分离、时间戳、翻译、情感分析 / add diarization, timestamps, translation, or sentiment only when needed

4. 统一转写结果结构 / Normalize transcript output:

• 保留说话人、时间戳、翻译文本、分段边界 / preserve speaker, timestamps, translation, and segment boundaries
• 先把 ASR 原始结果归一化，再进入纪要或行动项生成 / normalize ASR output before summarization

5. 最后生成会议产物 / Generate meeting artifacts:

• 会议摘要 / summary
• 关键决策 / decisions
• 带负责人和时间定位的行动项 / action items with owner and timestamp when possible
• 可导出的 Markdown 或 JSON / export-ready Markdown or JSON

实现规则 / Implementation Rules

• 严禁硬编码密钥，统一从环境变量 SENSEAUDIO_API_KEY 读取。Do not hardcode secrets; read SENSEAUDIO_API_KEY from environment variables.
• 实时会议流式识别必须满足 pcm、16000Hz、单声道、16-bit little-endian。For realtime streaming, enforce pcm, 16000Hz, mono, signed 16-bit little-endian.
• 录音会议优先使用 response_format=verbose_json，保留会议所需元数据。For recorded meetings, prefer response_format=verbose_json.
• 说话人分离只在支持的模型上使用，max_speakers 仅适用于 sense-asr-pro。Use diarization only with supported models; max_speakers is only for sense-asr-pro.
• 使用 sense-asr-deepthink 时不要传 language，只使用 target_language。Do not send language with sense-asr-deepthink; use target_language only.
• 会议纪要生成属于第二阶段，必须建立在结构化转写结果之上。Treat note generation as a second stage after transcript normalization.
• 如果用户要生产级代码，输出中要包含超时、重试、日志与失败处理。Include timeout, retry, logging, and failure handling for production code.

输出检查清单 / Output Checklist

当你给出实现方案时，至少包含： When producing implementation output, include:

1. 选用的接口与模型 / chosen endpoint and model
2. 最小可运行请求示例 / minimal request example
3. 转写结果解析方式 / transcript parsing strategy
4. 纪要 / 行动项生成方式（如用户需要） / note and action-item generation strategy if requested
5. 会议场景下的限制说明，例如音频格式、说话人分离限制、翻译行为 / meeting-specific caveats such as audio format, diarization limits, or translation behavior

常见坑点 / Common Pitfalls

• 没有说话人字段 / Missing diarization fields：确认已开启 enable_speaker_diarization=true，并使用 sense-asr 或 sense-asr-pro
• 没有字级时间戳 / No word timestamps：确认设置了 timestamp_granularities[]=word
• 实时识别报错 / Realtime failures：检查发送的是原始 PCM 数据，而不是 wav/mp3 容器字节
• DeepThink 参数报错 / DeepThink errors：移除不支持的 language 或其他不兼容参数
• 纪要质量差 / Weak meeting notes：优先基于结构化 segments 总结，不要只对整段纯文本做摘要