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pl-meeting-prepPL 会议准备

Agent Skill

pl-meeting-prep 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

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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:pl-meeting-prep(PL 会议准备)
来源仓库:https://github.com/samledger67-dotcom/pl-meeting-prep
安装命令:
openclaw skills install pl-meeting-prep
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。

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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 pl-meeting-prep

简介

自动执行会前研究、议程创建、谈话要点和会后行动跟踪,以实现知情且高效的客户、董事会或供应商会议。

SKILL.md

name
meeting-prep-agent
description
Pre-meeting research, agenda generation, talking points, and post-meeting action item capture. Use when preparing for client meetings, internal reviews, board presentations, vendor negotiations, or stakeholder briefings. Produces structured briefs, agendas, and follow-up documents. NOT for: scheduling (use calendar tools), recurring standup notes, or meetings where you have no context on participants or purpose.
version
1.0.0
author
PrecisionLedger
tags

Meeting Prep Agent

Automates pre-meeting research, agenda creation, and post-meeting action tracking. Designed for finance professionals, client advisors, and operations leads who need to show up prepared every time.


When to Use

Fire this skill when:

  • Irfan has an upcoming client meeting and needs a brief
  • Preparing for board, investor, or lender presentations
  • Vendor or contract negotiations require background research
  • Internal team reviews need structured agendas
  • Post-meeting — capturing decisions and action items while context is fresh

Do NOT use when:

  • Scheduling or rescheduling meetings (use calendar tools)
  • Recurring standups with no variable agenda
  • Meetings where purpose and participants are completely unknown (need at least a name and topic)
  • Real-time meeting facilitation or live note-taking (this is async prep, not live tooling)

Inputs Required

FieldRequiredExample
Meeting typeYesclient, board, vendor, internal
Participant names/companiesYes"John Smith, Apex Roofing"
Meeting topic/purposeYes"Q1 financial review"
Date/timeRecommended"Tuesday 2 PM CST"
Prior contextOptionalpast invoices, notes, deals
DurationOptional30 min, 1 hour

Workflow

1. Pre-Meeting Research Brief

Given participant names and company, compile:

MEETING BRIEF — [Company Name]
Date: [Date/Time]
Duration: [Duration]
Participants: [Names + Titles]

COMPANY SNAPSHOT
- Industry / Business type
- Size (employees, revenue range if public)
- Key services or products
- Recent news (last 90 days)

RELATIONSHIP HISTORY
- How long as client/prospect
- Prior engagements, invoices, or projects
- Any open issues, disputes, or pending items
- Last communication date and topic

MEETING PURPOSE
- Primary objective (decision, update, pitch, review)
- Secondary objectives
- Success criteria: what does a good outcome look like?

RISK FLAGS
- Overdue invoices or AR exposure
- Compliance issues pending
- Known sensitivities or pain points

2. Agenda Generation

AGENDA — [Meeting Name]
[Date] | [Time] | [Duration]

0:00 — Welcome & introductions (2 min)
0:02 — [Topic 1]: [brief descriptor] (X min)
0:XX — [Topic 2]: [brief descriptor] (X min)
...
X:XX — Open questions / next steps (5 min)
X:XX — Action item review & close (3 min)

Prepared materials: [list any decks, reports, or data needed]
Pre-read for participants: [if any]

3. Talking Points

For each agenda item, produce:

TOPIC: [Name]

KEY POINT: [The single most important thing to communicate]

SUPPORTING DATA:
- [Stat, figure, or fact #1]
- [Stat, figure, or fact #2]

ANTICIPATED QUESTIONS:
- Q: [likely question]
  A: [prepared response]
- Q: [likely pushback]
  A: [response + fallback]

DESIRED OUTCOME: [What you want decided or agreed by end of this item]

4. Post-Meeting Action Items

Capture immediately after the meeting:

MEETING SUMMARY — [Meeting Name]
Date: [Date]
Attendees: [Names]

DECISIONS MADE:
- [Decision 1]
- [Decision 2]

ACTION ITEMS:
| # | Task | Owner | Due Date | Priority |
|---|------|-------|----------|----------|
| 1 | [Task] | [Name] | [Date] | High/Med/Low |

FOLLOW-UPS REQUIRED:
- Send [document/report] to [person] by [date]
- Schedule [next meeting] for [timeframe]

OPEN ITEMS (unresolved):
- [Issue requiring further discussion]

NOTES:
[Any additional context, commitments, or flags]

Usage Examples

Example 1: Client Financial Review Meeting

Trigger: "Prep me for Tuesday's meeting with Apex Roofing — Q1 financial review."

Agent actions:

  1. Research Apex Roofing (industry, size, recent news)
  2. Pull any prior invoices, communications, or notes from memory/files
  3. Generate 1-page brief with company snapshot + relationship history
  4. Draft agenda: Q1 P&L walkthrough → budget vs. actuals → Q2 projections → questions
  5. Create talking points for each section with anticipated CFO-level questions
  6. Flag any overdue AR or open compliance items as risk flags

Output: PDF-ready brief + agenda in memory/meeting-prep/YYYY-MM-DD-apex-roofing.md


Example 2: Vendor Contract Negotiation

Trigger: "Prep for Thursday's negotiation with SaaS vendor over annual contract renewal."

Agent actions:

  1. Research vendor (market position, competitor alternatives, pricing benchmarks)
  2. Pull current contract terms from memory or files
  3. Identify leverage points (renewal timing, usage data, alternatives available)
  4. Draft negotiation agenda: current terms review → pain points → desired terms → fallback positions
  5. Talking points with BATNA (Best Alternative to Negotiated Agreement) framing

Example 3: Post-Meeting Debrief

Trigger: "We just finished the call with John Smith. Here's what happened: [notes dump]."

Agent actions:

  1. Parse raw notes into structured format
  2. Extract and classify: decisions, action items, open items
  3. Assign owners and due dates based on context
  4. Draft follow-up email copy for Irfan's review (not sent — for approval)
  5. Update memory file with relationship context

Output Files

Save all prep materials to:

memory/meeting-prep/YYYY-MM-DD-[company-slug].md

For recurring clients, maintain a running log:

memory/clients/[company-slug]/meeting-log.md

Integration Points

  • Calendar: Read upcoming meetings from gog (Google Calendar) to proactively trigger prep
  • CRM/Notes: Pull prior client context from memory files or Obsidian
  • Financial data: Reference AR aging, invoice history, budget files
  • Web research: Use web_search for recent news on company/participants
  • Email: Draft follow-up emails for Irfan's review (never send without approval)

Proactive Mode

When integrated with heartbeat:

  • Each morning, check calendar for meetings in next 24 hours
  • For any meeting >30 min with named participants, auto-generate brief and flag in heartbeat summary
  • Alert format: "📋 Meeting prep ready: Apex Roofing (2 PM today) — brief in memory/meeting-prep/"

Quality Standards

  • All research must cite source or note "from memory files" vs "web research"
  • Talking points should be crisp — one key message per topic, not a wall of text
  • Action items must have owner + due date — unassigned tasks don't get done
  • Risk flags are mandatory if any AR, compliance, or relationship issues exist
  • Never fabricate contact info, financial figures, or company details — flag as "needs verification" if uncertain

Privacy Rules

  • Meeting briefs may contain sensitive client data — never share externally
  • Post-meeting summaries go to memory files only, not external channels
  • If asked to share a brief with a third party, escalate to Irfan

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

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

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

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按下载量换算2,157

安全审计

VirusTotal

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ClawScan

可疑

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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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