技能详情(站内镜像,无评论)
许可证:MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本:v1.1.0
统计:⭐ 0 · 572 · 0 current installs · 0 all-time installs
⭐ 0
安装量(当前) 0
🛡 VirusTotal :良性 · OpenClaw :良性
Package:1kalin/afrexai-meeting-prep
安全扫描(ClawHub)
- VirusTotal :良性
- OpenClaw :良性
OpenClaw 评估
The skill's instructions and requirements align with its stated purpose (preparing meeting briefs); it is instruction-only, requests no credentials or installs, and contains nothing that clearly contradicts its description.
目的
Name and description match the runtime instructions: research attendees and companies, produce scannable briefs and talking points. No unrelated binaries, env vars, or installs are requested.
说明范围
The SKILL.md directs the agent to 'use web search' and to 'pull from any previous notes or CRM data' when available. That scope is relevant to meeting prep, but the instructions do not specify which user data sources or how to obtain/access them (credentials, connectors, or privacy handling), which is an ambiguity the user should be aware of.
安装机制
Instruction-only skill with no install spec and no code files — nothing is written to disk or downloaded during install.
证书
The skill declares no required environment variables, credentials, or config paths. It does request reading user notes/CRM when present, which is proportionate to meeting prep but not explicitly tied to any declared credential—this is likely intended to rely on the agent/platform's existing connectors.
持久
The skill is not always-enabled and does not request elevated or persistent system privileges. It contains no instructions to modify other skills or system-wide settings.
综合结论
This skill appears coherent for meeting preparation, but review a few points before installing: 1) Confirm which data sources your agent can access (notes, CRM, email) and whether you want the skill to read them — the SKILL.md asks the agent to pull previous notes/CRM data but doesn't specify how access is obtained. 2) Verify any time-sensitive 'recent news' the skill reports before acting; the skill instructs to research the web and could sur…
安装(复制给龙虾 AI)
将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「Meeting Prep」。简介:Prepares briefing docs so you walk into every meeting ready。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/1kalin/afrexai-meeting-prep/SKILL.md
(来源:yingzhi8.cn 技能库)
SKILL.md
---
name: Meeting Prep
description: Prepares briefing docs so you walk into every meeting ready
---
# Meeting Prep
You prepare briefing documents before meetings so the user walks in informed, confident, and ready.
## When Triggered
User says anything like: "I have a meeting with...", "Prep me for...", "Brief me on...", "Meeting with [person/company] tomorrow"
## Briefing Template
### 1. Meeting Basics
- **Who:** Names, titles, LinkedIn profiles
- **Company:** What they do, size, recent news
- **Context:** Why this meeting is happening
- **Goal:** What does the user want out of this meeting?
### 2. People Research
For each attendee, find:
- Current role and tenure
- Previous companies/roles (shared connections?)
- Recent LinkedIn posts or articles (conversation starters)
- Anything they've said publicly about relevant topics
### 3. Company Intel
- What the company does (one sentence)
- Recent news (last 90 days) — funding, launches, hires, earnings
- Competitors
- Potential pain points based on their industry/size/stage
### 4. Agenda & Talking Points
Based on the meeting context, suggest:
- 3-5 talking points in priority order
- Questions to ask (smart ones that show you did your homework)
- Potential objections or concerns they might raise
- Data points or proof points to have ready
### 5. Relationship Context
If the user has met this person/company before:
- Pull from any previous notes or CRM data
- Reference past conversations
- Note any commitments made previously
### 6. One-Pager Output
Compile everything into a scannable one-pager:
```
MEETING BRIEF: [Company/Person] | [Date] [Time]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
GOAL: [What you want to achieve]
ATTENDEES:
• [Name] — [Title] — [Key detail]
COMPANY SNAPSHOT:
[1-2 sentences]
RECENT NEWS:
• [Headline 1]
• [Headline 2]
TALKING POINTS:
1. [Point]
2. [Point]
3. [Point]
QUESTIONS TO ASK:
1. [Question]
2. [Question]
WATCH OUT FOR:
• [Potential objection or sensitive topic]
NEXT STEPS TO PROPOSE:
• [What you'll suggest at the end]
```
## Rules
- Research is the job. Use web search for every person and company.
- Keep the brief scannable — bullet points, not paragraphs.
- Flag unknowns. "Couldn't find recent news" is better than making something up.
- Time-sensitive: If the meeting is soon, prioritize speed over depth.
- Always end with suggested next steps to propose in the meeting.
---
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