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Boya Os Recordings

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infometa
boya-os-recordings

当用户要查看自己的录音、寻找某条录音里说过的内容、要转写正文、AI 纪要、思维导图或待办事项(action items),或想了解已绑定的录音设备与文件夹时使用。触发词:我的录音、录音列表、本周录了什么、找录音、搜录音、提到过、说过、转写、逐字稿、正文、纪要、摘要、总结、思维导图、待办、action items、我的待办、还有什么没做、设备、绑定了什么设备、文件夹、录音放在哪。

Overview

Publisherinfometa
Repositoryworkbuddyskills
Skill nameboya-os-recordings
Stars
376
Forks
124
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Boya Os Recordings 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.
    https://github.com/infometa/workbuddyskills/tree/main/connectors/boya-os/skills/boya-os-recordings
  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.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/infometa/workbuddyskills.git /tmp/workbuddyskills
mkdir -p .claude/skills
cp -r /tmp/workbuddyskills/connectors/boya-os/skills/boya-os-recordings .claude/skills/boya-os-recordings
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Boya Os Recordings 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 Boya Os Recordings 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 Boya Os Recordings 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.

Boya OS 录音助手

只读地检索用户自己的录音及其派生内容(转写正文 / AI 纪要 / 思维导图 / 待办)。本技能不产生任何写操作:不录音、不改标题、不生成或重新生成纪要。

所有数据均按当前登录账号隔离,只能访问该用户自己的数据。

一、先选工具(决策树)

用户想干什么用哪个工具
"我这周/今天录了什么""都有哪些录音"list_recordings
"我记得里面说过 X,是哪条录音"search_recordings
"录音放在哪些文件夹、各有多少条"list_folders
"我绑定了哪些设备"list_devices
"这条录音的详情/录了多久/转写了吗"get_recording
"把正文/逐字稿给我"get_transcript
"纪要给/总结一下这条录音"get_summary
"思维导图"get_map(只想要导图)/get_summary(要整份纪要)
"我的待办""还有什么没做"get_action_items

浏览 vs 检索:按日期/文件夹翻看全部录音 → list_recordings;只有模糊关键词、不知道是哪条 → search_recordings。

二、recording_id 串联(核心范式)

除 list_recordings / search_recordings / list_folders / list_devices 外,其余工具都必须先拿到 recording_id。

list_recordings / search_recordings
        → 取返回 JSON 里每条的 recordingId
        → 作为 recording_id 传给 get_recording / get_transcript / get_summary / get_map / get_action_items
  • recordingId 即上传/转写 ID,是唯一稳定的录音标识,不要用标题当 ID(标题可重复)。
  • 禁止凭空编造 recording_id。用户没指明是哪条时,先用 search_recordings 或在列表里定位,再取 recordingId。

三、分页必须取全

list_recordings / search_recordings 返回 total(匹配总数)与当前页 items。只要已返回条数 < total,就要递增 page 继续取,直到取满或用户不需要更多。

page_size 范围 1–100,默认 20。回答"这周录了什么"这类需要完整枚举的问题时,不要只看第一页就下结论。

四、按内容类型判断该调什么

list_recordings / get_recording 会返回派生标记,先用标记判断再决定是否调用下游工具,避免无效调用:

标记含义为 true 才值得调用
hasTranscript有可读转写正文get_transcript
hasSummary有 AI 纪要get_summary
hasMindmap有思维导图get_map
hasActionItems有标记,但只是开关明细一律调 get_action_items
statuspending / processing / success / failedsuccess 才可能有内容

五、"正常返回" vs "错误"——不要说错话

以下情况服务端返回的是正常响应,不是错误,需据实告知用户,而不是报故障:

情况返回应如何回复
录音未转写 / 转写失败get_transcript 返回 status != success、content 为空"这条录音还没有转写结果"
没有纪要或纪要生成失败get_summary 返回 hasSummary=false、内容字段为 null"这条录音还没有生成纪要"
没有思维导图get_map 返回 hasMap=false、mindmap 为空串"这条录音还没有思维导图"
没有任何待办get_action_items 返回 items: []、total: 0"目前没有待办事项"

纪要/导图需要生成或重新生成时,引导用户到 Boya OS App 端操作——本技能是只读的,永远不会触发生成。

六、待办事项的两类来源(务必讲清)

get_action_items 返回 items 是两类来源合并后的同一列表,用 source 区分:

  • source = memo → 已生成的结构化待办
  • source = main_text / mindmap → 从录音纪要里按规则抽取的行动项

用 completable 区分能力,回复用户时必须说明差别:

completable含义回复口径
true真实待办,有 itemId,可在 App 内完成或设提醒正常列出
false只是纪要里写着的行动项,尚未生成待办,无法完成或设提醒必须注明"这些是纪要中提到的,还不是待办"

其他要点:

  • 用户问"我的待办"时不要传 recording_id,否则只能列出该条录音派生的部分。
  • 默认只返回未完成项;include_completed=true 才含已完成。
  • 一旦带上 due_from/due_to/created_from/created_to 任一日期参数,只返回结构化待办(纪要抽取项没有日期)。

七、常见场景 → 调用序列

用户说调用序列
"我这周录了什么?"list_recordings(period=this_week, page_size=100) → 不足 total 继续翻页
"上周有哪些会议纪要?"list_recordings(period=last_week) → 用 hasSummary 筛出有纪要的 → 逐个 get_summary
"帮我找提到预算的那条录音"search_recordings(query="预算") → 命中项的 recordingId
"那条录音说了什么?"先定位 recordingId → get_transcript(format=text, include_speakers=true)
"这条录音讲了多久,转写了吗?"get_recording(recording_id=...)
"我有哪些待办?"get_action_items()(不传 recording_id)
"这条会议录音有什么行动项?"get_action_items(recording_id=...)
"我的录音怎么组织的?"list_folders() → 需要细看某个文件夹时 list_recordings(folder_id=...)
"我有哪些设备?"list_devices()

八、参数速查与字段定义

各工具完整入参、默认值、返回字段与空态说明见 @references/tool-params.md。

九、注意事项

  • 只读:不要尝试任何修改、删除、生成动作;相关诉求引导到 Boya OS App。
  • 不要用 list_devices 的返回值去筛选录音——该工具不提供按设备筛选。
  • list_folders.recordingCount 只统计该文件夹直属的未删除录音,不含子文件夹、不含根目录未分类录音。
  • audioUrl 是 10 分钟有效的预签名链接,过期需重新调 get_recording 获取。
  • 无权限或录音不存在时统一返回 RESOURCE_NOT_FOUND,不要据此推测录音是否存在。

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 Boya Os Recordings AI skill do?

当用户要查看自己的录音、寻找某条录音里说过的内容、要转写正文、AI 纪要、思维导图或待办事项(action items),或想了解已绑定的录音设备与文件夹时使用。触发词:我的录音、录音列表、本周录了什么、找录音、搜录音、提到过、说过、转写、逐字稿、正文、纪要、摘要、总结、思维导图、待办、action items、我的待办、还有什么没做、设备、绑定了什么设备、文件夹、录音放在哪。

Why use Boya Os Recordings on TypingMind?

Because you install it once and use it with any model. Boya Os Recordings 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 Boya Os Recordings in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/infometa/workbuddyskills/tree/main/connectors/boya-os/skills/boya-os-recordings. 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 Boya Os Recordings?

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 Boya Os Recordings?

As many as you like. As long as a model supports skills, you can use Boya Os Recordings with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Boya Os Recordings AI skill free?

It is published on GitHub by infometa. 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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