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ghostmeet

AI meeting assistant via ghostmeet. Start sessions, get live transcripts, and generate AI summaries from any browser meeting.

Quellinformationen

Repository
Higangssh/ghostmeet
Letzte Quellaktivität
31. Juli 2026 um 14:29
Erkannte Sprache von SKILL.md
Englisch
Sterne
86
Forks
13

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Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
ghostmeet
description
AI meeting assistant via ghostmeet. Start sessions, get live transcripts, and generate AI summaries from any browser meeting.
metadata
{"openclaw":{"emoji":"👻","requires":{"anyBins":"[Truncated]"},"envHints":["GHOSTMEET_ANTHROPIC_KEY"]}}
# Ghostmeet — AI Meeting Assistant Control [ghostmeet](https://github.com/Higangssh/ghostmeet) from chat. Self-hosted meeting transcription with Whisper + AI summaries. ## Prerequisites ghostmeet backend must be running (Docker): ```bash # Quick start git clone https://github.com/Higangssh/ghostmeet.git cd ghostmeet cp .env.example .env # Edit .env: set GHOSTMEET_ANTHROPIC_KEY for AI summaries docker compose up -d ``` Chrome Extension must be installed in developer mode from `extension/` folder. Default backend: `http://127.0.0.1:8877` ## What This Skill Can Do - **List sessions** → query recorded meeting sessions - **Fetch transcripts** → retrieve full text from a session - **Generate summaries** → trigger AI summary via Claude API (requires `GHOSTMEET_ANTHROPIC_KEY`) - **Health check** → verify backend is running ## What This Skill Cannot Do - **Start/stop recording** → must be done manually via the Chrome Extension - **Install the Chrome Extension** → user must load it in developer mode from `extension/` folder - **Access browser audio** → only the Chrome Extension captures audio; this skill only reads API results ## Required Environment Variables - `GHOSTMEET_ANTHROPIC_KEY` — required for AI summary generation. Without it, transcription still works but summaries will fail. ## API Commands ### Health Check ```bash curl -s http://127.0.0.1:8877/api/health ``` Returns: `{"ok": true, "service": "ghostmeet-backend", "model": "base", "chunk_interval_sec": 10}` ### List Sessions ```bash curl -s http://127.0.0.1:8877/api/sessions ``` Returns list of all meeting sessions with IDs, start times, and segment counts. ### Get Transcript ```bash curl -s http://127.0.0.1:8877/api/sessions/{session_id}/transcript ``` Returns full transcript with timestamps and text segments. ### Generate Summary ```bash curl -s -X POST http://127.0.0.1:8877/api/sessions/{session_id}/summarize ``` Triggers AI summary generation (requires `GHOSTMEET_ANTHROPIC_KEY`). Returns: key decisions, action items, and next steps. ### Get Summary ```bash curl -s http://127.0.0.1:8877/api/sessions/{session_id}/summary ``` Returns previously generated summary. ## Workflow ### During a Meeting 1. User joins a meeting (Google Meet, Zoom, Teams) in Chrome 2. Clicks ghostmeet extension icon → side panel opens 3. Clicks "Start" → real-time transcription begins 4. Transcripts appear live in the side panel ### After a Meeting User asks: "Summarize my last meeting" 1. List sessions → find the latest session ID 2. Get transcript → review what was discussed 3. Generate summary → extract key points 4. Deliver summary to user ### Example Interaction User: "What was discussed in my last meeting?" → `curl http://127.0.0.1:8877/api/sessions` → get latest session → `curl http://127.0.0.1:8877/api/sessions/{id}/transcript` → get transcript → Summarize key points for the user User: "Generate a summary with action items" → `curl -X POST http://127.0.0.1:8877/api/sessions/{id}/summarize` → `curl http://127.0.0.1:8877/api/sessions/{id}/summary` → Deliver formatted summary User: "How many meetings did I have today?" → `curl http://127.0.0.1:8877/api/sessions` → count today's sessions ## Configuration | Variable | Default | Description | |----------|---------|-------------| | `GHOSTMEET_MODEL` | `base` | Whisper model (tiny/base/small/medium/large-v3) | | `GHOSTMEET_LANGUAGE` | auto | Force language (en/ko/ja etc.) or auto-detect | | `GHOSTMEET_CHUNK_INTERVAL` | `10` | Transcription interval in seconds | | `GHOSTMEET_ANTHROPIC_KEY` | — | Claude API key for summaries | | `GHOSTMEET_HOST` | `127.0.0.1` | Backend bind address (loopback — the API has no auth) | | `GHOSTMEET_PORT` | `8877` | Backend port | ### Model Size Guide - **tiny** (75MB): Fast, lower accuracy. Good for quick notes - **base** (145MB): Balanced. Recommended for most users - **small** (488MB): Better accuracy, slower - **medium** (1.5GB): High accuracy, needs good CPU/GPU - **large-v3** (3GB): Best accuracy, requires GPU ## Usage Guidelines 1. **Always check health first** — verify backend is running before other commands 2. **List sessions to find IDs** — session IDs are date-based (e.g., `20260308-065021`) 3. **Summarize only when asked** — summary generation costs API tokens 4. **Format transcripts nicely** — don't dump raw JSON, present as readable conversation 5. **Respect privacy** — meeting transcripts are sensitive. Never share outside the current chat 6. **If backend is down** — suggest `docker compose up -d` in the ghostmeet directory ## Privacy - **Transcription is 100% local** — Whisper runs on your machine, audio never leaves your device - **Summaries use Anthropic API** — when you click Summarize, transcript text is sent to Claude API. If you don't want this, skip the summarize feature; transcription works without it - **Chrome Extension captures tab audio only** — uses `chrome.tabCapture` API, limited to the active tab. It cannot access other tabs, microphone, or system audio. Audit the extension source in `extension/` before installing - **No telemetry** — ghostmeet sends zero analytics or tracking data ## Troubleshooting - **Connection refused** → Backend not running. `docker compose up -d` - **No sessions** → No meetings recorded yet. Chrome Extension must be active during meeting - **Summary fails** → `GHOSTMEET_ANTHROPIC_KEY` not set in `.env` - **Poor transcription** → Try larger Whisper model or set explicit language
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