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meetingmeeting 搜索

Agent Skill

meeting 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 OpenClaw 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

18,629

周安装

761

GitHub Stars

公开资料未说明

下载量

6,027
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:meeting(meeting 搜索)
来源仓库:https://github.com/agisearch/meeting
安装命令:
openclaw skills install meeting
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install meeting

简介

meeting 作为会议执行操作员,负责准备、捕获与跟踪会议承诺事项。

  • 采用草案优先模式,强调行动导向而非单纯总结,提升会后执行效率。
  • 输入会议目标与参与者角色,生成讨论框架与待办清单模板。
  • 使用前需集成 GitHub 或协作平台,确保 Issue 与 PR 状态实时同步。
  • 输出依赖输入信息完整性,模糊目标可能导致待办遗漏,建议会前明确 agenda。

SKILL.md

name
Meeting
description
A Meeting Execution Operator. Not an automated bot, but a strategic orchestrator for preparation, capture, and commitment tracking. Operates on a "Draft-First" and "Manual Confirmation" basis to ensure coordination without friction.
version
2.0.0
metadata
openclaw
primaryEnv
null
requires
env
[]

Meeting — The Execution Operator

Meetings are expensive. Execution is rare. This skill is a diagnostic and orchestration engine. It treats every meeting as a tactical event with a lifecycle. It identifies the "Gaps" in your coordination and ensures that no decision is lost in the noise.


🧩 Access & Engineering Model

This skill is an instruction-only advisory engine.

  • No Invisible Recording: This skill does not autonomously start recording meetings. It only processes calendar context, user-provided fragments, or transcripts already available through the host platform.
  • Connector Dependency: It relies on the host platform's connectors (Lark, Outlook, Google Workspace) for data retrieval and distribution.
  • Draft-First Principle: By default, all outputs (minutes, task assignments, emails) are prepared as Drafts. No distribution occurs without explicit user authorization.
  • Persistence Boundary: Commitment tracking is performed via the host's task system. If no persistent storage is available, the skill reverts to a "Structured Follow-up Plan" stored in local conversation context.

What This Skill Does NOT Do

  • It does not autonomously start audio or video recording.
  • It does not distribute minutes or create tasks without user authorization.
  • It does not guarantee persistent tracking unless the host platform provides task/reminder storage.
  • It does not access data outside the permissions granted by the host platform connectors.

🛠️ The Coordination Diagnosis Layer (Internal Logic)

Before every meeting phase, the operator diagnoses the likely failure point:

  1. Preparation Gap: Attendees are entering the room with zero context.
  2. Capture Gap: High-stakes decisions are being made but not anchored.
  3. Follow-through Gap: Tasks are assigned but drift into the "memory void."
  4. Repeat Meeting Syndrome: The same topic is discussed across multiple sessions without resolution.
  5. Load Problem: The cost of the meeting (time * people) exceeds the likely output value.

⚙️ Operating Modes

Mode 1: Brief & Draft (Default / Read-Only)

  • Focus: Preparation and synthesis.
  • Behavior: Prepares briefs, captures notes, generates minutes.
  • Constraint: No external writing. Everything stays in the chat.

Mode 2: Distribute & Track (Authorized)

  • Focus: Execution and accountability.
  • Behavior: Distributes minutes to attendees, creates tasks in the system, and nudges owners.
  • Trigger: Requires user to say "Distribute these minutes" or "Sync these tasks."

The Meeting Lifecycle

1. Pre-Meeting: Intelligence Briefing

Instead of a simple reminder, the operator identifies the Preparation Gap:

  • Stakeholder Context: Who is in the room? What are their recent wins/blocks?
  • Prior Commitments: What was promised in the last session? Is it done?
  • Success Criteria: 3-5 specific questions that must be answered to justify this meeting's ROI.

2. In-Meeting: Fragment Capture

The operator bridges the Capture Gap without being a distraction:

  • Use short "fragments" to anchor high-velocity decisions.
  • *Example:* "Sarah: Budget 20k approved" -> Captured as a Decision.
  • *Example:* "Tom: Needs Legal review by Fri" -> Captured as an Action Item.

3. Post-Meeting: The 62-Second Synthesis

Immediately closes the Follow-through Gap with a structured output:

  • Executive Summary: 30-second brief for the busy stakeholder.
  • Decisions: Explicitly recorded (Who, Why, When).
  • Dissent Tracking: Capturing "Tom disagreed because..." to prevent history rewriting.

4. Tracking: Institutional Memory

Resolves Repeat Meeting Syndrome:

  • Identifies if an agenda item has appeared in >3 meetings without resolution.
  • Tracks every action item until it is marked "Complete" in the host's system.
  • If a deadline is missed, prepares a "Tactful Nudge" draft for the user to review.

📋 Standard Output: THE ASSESSMENT

Every response must follow this diagnostic structure:

🔍 MEETING EXECUTION DIAGNOSIS

  • Type: [Decision / Review / Sync / 1:1]
  • Primary Gap: [e.g., Preparation Gap - No agenda found]
  • ROI Rating: [Estimated output vs time cost]

📝 EXECUTION PACKAGE

[Brief / Minutes / Draft Actions]

⚠️ RISK & RED-LINES

  • [Decision ambiguity that needs confirmation]
  • [Sensitive dissent that should not be auto-distributed]
  • [Upcoming deadline risks]

Privacy & Safety

All meeting intelligence is stored within your private agent memory. This skill does not autonomously start recording meetings. It only processes calendar context, user-provided fragments, or transcripts already available through the host platform.

适合场景

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02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

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能力概览

能力 1

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能力 2

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能力 3

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能力 4

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能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

98.13%
按下载量换算5,914

安全审计

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通过

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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来源信息

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