Skills Plugins MCP Prompt Model 博客 我的中心
生活とツール #meeting #agent

google-meet

Join a Google Meet call, transcribe live captions, optionally speak in realtime, and do the followup work afterwards. Use when the user asks the agent to sit in on a meeting, take notes, summarize, respond in-call, or action items from it.

DeepseekModel キュレーション済みスキル 品質 優秀 · 90 v1.0.0

取得

https://deepseekmodel.com/api/download.php?id=nousresearch-hermes-agent-plugins-google-meet-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name google_meet description Join a Google Meet call, transcribe live captions, optionally speak in realtime, and do the followup work afterwards. Use when the user asks the agent to sit in on a meeting, take notes, summarize, respond in-call, or action items from it. version 0.2.0 platforms ["linux","macos"] metadata {"hermes":{"tags":["meetings","google-meet","transcription","realtime-voice"]}} google_meet When to use The user says any of: "join my Meet at " "take notes on this meeting" "summarize the meeting and send followups" "sit in on my standup" "be a bot in this call and speak up when X" Two modes Mode What the bot does transcribe (default) Joins, enables captions, scrapes a transcript. Listen-only. realtime Same as transcribe PLUS speaks into the meeting via OpenAI Realtime. The agent calls meet_say(text) and the bot's voice comes out of the call. Pick realtime only when the user actually wants the agent to speak. It costs real money (OpenAI Realtime is pay-per-audio-minute) and requires a virtual audio device set up on the machine running the bot. Two locations Location When Local (default) Gateway machine runs the Playwright bot directly. Remote node ( node="<name>" ) Bot runs on a different machine that has a signed-in Chrome and (for realtime) a configured audio bridge. Useful when the gateway runs on a headless Linux box but the user's real signed-in Chrome lives on their Mac. Prerequisites the user must handle once Easiest path — run the built-in installer: hermes plugins enable google_meet hermes meet install # pip deps + Chromium (transcribe only) hermes meet install --realtime # + pulseaudio-utils / brew blackhole+ffmpeg hermes meet auth # optional; skips guest-lobby wait hermes meet setup # preflight checks hermes meet install --realtime prompts before running sudo apt-get (Linux) or brew install (macOS). Pass --yes to skip the prompt. It will NOT touch your macOS default-input setting — you have to select BlackHole 2ch in System Settings yourself before starting a realtime meeting. Or do it manually: pip install playwright websockets && python -m playwright install chromium # For realtime mode, additionally: # Linux: sudo apt install pulseaudio-utils # macOS: brew install blackhole-2ch ffmpeg # → System Settings → Sound → Input → BlackHole 2ch # Then set OPENAI_API_KEY or HERMES_MEET_REALTIME_KEY in ~/.hermes/.env For a remote node: # on the user's Mac (where Chrome is signed in): pip install playwright websockets && python -m playwright install chromium hermes plugins enable google_meet hermes meet node run --display-name my-mac # persistent server # copy the printed token # on the gateway: hermes meet node approve my-mac ws://<mac-ip>:18789 <token> hermes meet node ping my-mac # confirm reachable Run hermes meet setup to preflight local prereqs. Flow Join — call meet_join(url=..., mode=..., node=...) . Returns immediately. Announce yourself — no auto-consent. Say (in whatever channel the user is watching): "A Hermes agent bot is in this call taking notes." Poll — meet_status() for liveness, meet_transcript(last=20) for recent captions. Don't re-read the whole transcript every turn. Speak (realtime only) — meet_say(text="...") queues text for TTS. The speech lags by ~2s. Don't spam it. Leave — meet_leave() when done, or set duration="30m" on meet_join for auto-leave. Follow up — read meet_transcript() in full, summarize, and use regular tools to send the recap, file issues, schedule followups. Tool reference Tool Parameters Use meet_join url , mode? , guest_name? , duration? , headed? , node? Start bot meet_status node? Liveness + progress meet_transcript last? , node? Read captions meet_leave node? Close bot meet_say text , node? Speak in realtime meeting node? on all tools: pass a registered node name (or "auto" for the sole node) to operate a remote bot instead of a local one. Omit for local. Important limits Captions are only as good as Google Meet's live captions. English-biased, lossy on overlapping speakers. Guest mode sits in the lobby until a host admits. Warn the user; hermes meet auth avoids this. Lobby timeout : if the host doesn't admit the bot within 5 minutes (configurable via HERMES_MEET_LOBBY_TIMEOUT env), the bot leaves and meet_status reports leaveReason: "lobby_timeout" . One active meeting per install per location. A second meet_join leaves the first. Windows not supported. Realtime mode needs a virtual audio device. If the audio bridge setup fails, the bot falls back to transcribe mode and flags it in meet_status().error . meet_say requires mode='realtime' on the originating meet_join . Calling it against a transcribe-mode meeting returns a clear error. Barge-in is best-effort. When a caption arrives attributed to a real participant while the bot is generating audio, the bot sends response.cancel to OpenAI Realtime. Captions take ~500ms to show up, so the bot will talk over the first second or so of a human interruption. Status dict reference meet_status() returns (subset shown, there are more): Key Meaning inCall Past the lobby. False while waiting for admission. lobbyWaiting Clicked "Ask to join", waiting on host. joinAttemptedAt / joinedAt Timestamps for lobby-click and actual admission. captioning Caption observer is installed. transcriptLines / lastCaptionAt Transcript progress. realtime / realtimeReady Realtime mode provisioned / WS connected. realtimeDevice Audio device name the bot is feeding (e.g. hermes_meet_src ). audioBytesOut / lastAudioOutAt How much PCM the OpenAI session has produced. lastBargeInAt Timestamp of the most recent response.cancel sent. leaveReason duration_expired , lobby_timeout , denied , page_closed , or null. error Last error (soft — bot may still be running). Transcript location Local: $HERMES_HOME/workspace/meetings/<meeting-id>/transcript.txt Remote node: transcript lives on the node host's disk. Use meet_transcript(node=...) to read it over RPC. Safety URL regex: only https://meet.google.com/... URLs pass. No calendar scanning. No auto-dial. Remote nodes use bearer-token auth; tokens are generated on the node (32 hex chars, persisted in $HERMES_HOME/workspace/meetings/node_token.json ) and must be copied to the gateway via hermes meet node approve . meet_say text is rate-limited by the OpenAI Realtime session; spam-protection is the bot's problem, not yours, but still — don't queue hundreds of lines.
このスキルを起動するキーワード。クリックでコピーできます。

このスキルにはトリガーワードがありません。

ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

验证码 --

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。