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Percept Meetings

该技能为OpenClaw agent接入Zoom、Granola、Omi可穿戴设备的会议数据，核心功能包括搜索会议转录文本、识别发言者、提取行动项等。典型场景为用户询问会议内容、行动项、特定人员发言，或agent需会议上下文完成任务。通过命令行调用输出JSON结构化数据，可集成到工作流中，自动执行发邮件、建任务等后续跟进，支持批量同步与实时数据接入。

jarvis563
jarvis563
热度 28.73
最近更新 2026-05-18 12:09:09
分类：协作依赖：代码执行 / 读写文件 / 第三方 API应用场景：会议纪要 / 摘要总结 / 任务管理 / 工作流

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add percept-meetings
Metadata
name
percept-meetings
description
Give your OpenClaw agent context from meetings captured by Zoom, Granola, or Omi wearables. Search transcripts, extract action items, identify speakers, and act on meeting outcomes. Use when the user asks about meetings, what was discussed, action items, follow-ups, who said what, meeting summaries, or when the agent needs meeting context to complete a task. Also triggers for: what did we talk about, meeting notes, transcript, action items, follow up on, schedule based on our meeting, what did [person] say.

Percept Meetings

Give your OpenClaw agent ears. This skill connects meeting data from Zoom, Granola, and Omi wearables into your agent's context — searchable transcripts, speaker identification, entity extraction, and actionable follow-ups.

Quick Start

1. Install Percept

pip install getpercept   # or: git clone https://github.com/GetPercept/percept
cd percept && pip install -e .

2. Connect a Source

Granola (zero config — reads local cache):

percept granola-sync

Zoom (needs OAuth app):

export ZOOM_ACCOUNT_ID=xxx ZOOM_CLIENT_ID=xxx ZOOM_CLIENT_SECRET=xxx
percept zoom-sync --days 7

Omi wearable (real-time):

percept serve --port 8900
# Configure Omi webhook → https://your-host:8900/webhook/transcript?token=YOUR_TOKEN

3. Use Meeting Context

Search what was discussed:

percept search "budget approval"

List recent transcripts:

percept transcripts --today

Check who was in meetings:

percept speakers

Get action items from latest meeting:

percept actions

How to Use in Agent Workflows

Finding Meeting Context

When the user asks about meetings or you need context from a past conversation:

# Search by topic
percept search "VectorCare API migration"

# Search by person
percept search "what did Sarah say"

# Recent meetings
percept transcripts --limit 5

Output is JSON — parse it for structured data.

Acting on Meetings

When meetings produce action items or follow-ups:

  1. Search for the relevant meeting: percept search "<topic>"
  2. Extract action items from the transcript
  3. Use other OpenClaw tools to execute (send emails, create tasks, schedule follow-ups)

Example flow: User says "follow up on what we discussed with the sales team" → percept search "sales team" → find action items → draft follow-up email

Importing New Data

Granola auto-discovers meetings from ~/Library/Application Support/Granola/cache-v3.json. Run percept granola-sync to pull latest. Supports --since YYYY-MM-DD for date filtering.

Zoom requires a Server-to-Server OAuth app from marketplace.zoom.us:

  • Scopes needed: recording:read, user:read
  • Run percept zoom-sync to batch-import, or start webhook server for auto-import
  • See references/zoom-setup.md for detailed setup

Omi streams in real-time via webhook. See references/omi-setup.md.

Configuration

Percept stores data in percept/data/percept.db (SQLite with FTS5 full-text search).

Key env vars:

  • PERCEPT_DB_PATH — custom database location
  • PERCEPT_API_TOKEN — bearer token for API endpoints
  • ZOOM_ACCOUNT_ID, ZOOM_CLIENT_ID, ZOOM_CLIENT_SECRET — Zoom OAuth
  • GRANOLA_API_KEY — Granola Enterprise API (optional; local cache works without it)

Pipeline Health

percept status

Returns: server status, live stream status, today's conversation count, database stats.