Token导航 LogoToken导航TokenDH.com
研究检索只读github未标认证来源可访问许可证需确认审计提醒

call-prep通话准备

Agent Skill

call-prep 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

总安装

24,480

周安装

964

GitHub Stars

11,727

下载量

7,920
CodexClaudeCursorGemini CLI

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

unknown

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:call-prep(通话准备)
来源仓库:https://github.com/anthropics/knowledge-work-plugins
仓库路径:skills/call-prep
安装命令:
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill call-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。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill call-prep

简介

用于销售会前情报收集与提问策略生成,提升成交概率。

  • 支持公司动态、融资历史与组织架构深度调研能力。call-prep 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 提供开放式问题与封闭式问题配比建议优化对话节奏。
  • 安装需通过 GitHub 仓库,建议打通 CRM 获取历史交互记录。
  • 涉及上市公司时应引用公开财报与新闻源确保信息准确。

SKILL.md

Call Prep

Get fully prepared for any sales call in minutes. This skill works with whatever context you provide, and gets significantly better when you connect your sales tools.

How It Works

┌─────────────────────────────────────────────────────────────────┐
│                        CALL PREP                                 │
├─────────────────────────────────────────────────────────────────┤
│  ALWAYS (works standalone)                                       │
│  ✓ You tell me: company, meeting type, attendees                │
│  ✓ Web search: recent news, funding, leadership changes         │
│  ✓ Company research: what they do, size, industry               │
│  ✓ Output: prep brief with agenda and questions                 │
├─────────────────────────────────────────────────────────────────┤
│  SUPERCHARGED (when you connect your tools)                      │
│  + CRM: account history, contacts, opportunities, activities    │
│  + Email: recent threads, open questions, commitments           │
│  + Chat: internal discussions, colleague insights               │
│  + Transcripts: prior call recordings, key moments              │
│  + Calendar: auto-find meeting, pull attendees                  │
└─────────────────────────────────────────────────────────────────┘

Getting Started

When you run this skill, I'll ask for what I need:

Required:

  • Company or contact name
  • Meeting type (discovery, demo, negotiation, check-in, etc.)

Helpful if you have it:

  • Who's attending (names and titles)
  • Any context you want me to know (paste prior notes, emails, etc.)

If you've connected your CRM, email, or other tools, I'll pull context automatically and skip the questions.


Connectors (Optional)

Connect your tools to supercharge this skill:

ConnectorWhat It Adds
CRMAccount details, contact history, open deals, recent activities
EmailRecent threads with the company, open questions, attachments shared
ChatInternal chat discussions (e.g. Slack) about the account, colleague insights
TranscriptsPrior call recordings, topics covered, competitor mentions
CalendarAuto-find the meeting, pull attendees and description
No connectors? No problem. Just tell me about the meeting and paste any context you have. I'll research the rest.

Output Format

# Call Prep: [Company Name]

**Meeting:** [Type] — [Date/Time if known]
**Attendees:** [Names with titles]
**Your Goal:** [What you want to accomplish]

---

## Account Snapshot

| Field | Value |
|-------|-------|
| **Company** | [Name] |
| **Industry** | [Industry] |
| **Size** | [Employees / Revenue if known] |
| **Status** | [New prospect / Active opportunity / Customer] |
| **Last Touch** | [Date and summary] |

---

## Who You're Meeting

### [Name] — [Title]
- **Background:** [Career history, education if found]
- **LinkedIn:** [URL]
- **Role in Deal:** [Decision maker / Champion / Evaluator / etc.]
- **Last Interaction:** [Summary if known]
- **Talking Point:** [Something personal/professional to reference]

[Repeat for each attendee]

---

## Context & History

**What's happened so far:**
- [Key point from prior interactions]
- [Open commitments or action items]
- [Any concerns or objections raised]

**Recent news about [Company]:**
- [News item 1 — why it matters]
- [News item 2 — why it matters]

---

## Suggested Agenda

1. **Open** — [Reference last conversation or trigger event]
2. **[Topic 1]** — [Discovery question or value discussion]
3. **[Topic 2]** — [Address known concern or explore priority]
4. **[Topic 3]** — [Demo section / Proposal review / etc.]
5. **Next Steps** — [Propose clear follow-up with timeline]

---

## Discovery Questions

Ask these to fill gaps in your understanding:

1. [Question about their current situation]
2. [Question about pain points or priorities]
3. [Question about decision process and timeline]
4. [Question about success criteria]
5. [Question about other stakeholders]

---

## Potential Objections

| Objection | Suggested Response |
|-----------|-------------------|
| [Likely objection based on context] | [How to address it] |
| [Common objection for this stage] | [How to address it] |

---

## Internal Notes

[Any internal chat context (e.g. Slack), colleague insights, or competitive intel]

---

## After the Call

Run **call-follow-up** to:
- Extract action items
- Update your CRM
- Draft follow-up email

Execution Flow

Step 1: Gather Context

If connectors available:

1. Calendar → Find upcoming meeting matching company name
   - Pull: title, time, attendees, description, attachments

2. CRM → Query account
   - Pull: account details, all contacts, open opportunities
   - Pull: last 10 activities, any account notes

3. Email → Search recent threads
   - Query: emails with company domain (last 30 days)
   - Extract: key topics, open questions, commitments

4. Chat → Search internal discussions
   - Query: company name mentions (last 30 days)
   - Extract: colleague insights, competitive intel

5. Transcripts → Find prior calls
   - Pull: call recordings with this account
   - Extract: key moments, objections raised, topics covered

If no connectors:

1. Ask user:
   - "What company are you meeting with?"
   - "What type of meeting is this?"
   - "Who's attending? (names and titles if you know)"
   - "Any context you want me to know? (paste notes, emails, etc.)"

2. Accept whatever they provide and work with it

Step 2: Research Supplement

Always run (web search):

1. "[Company] news" — last 30 days
2. "[Company] funding" — recent announcements
3. "[Company] leadership" — executive changes
4. "[Company] + [industry] trends" — relevant context
5. Attendee LinkedIn profiles — background research

Step 3: Synthesize & Generate

1. Combine all sources into unified context
2. Identify gaps in understanding → generate discovery questions
3. Anticipate objections based on stage and history
4. Create suggested agenda tailored to meeting type
5. Output formatted prep brief

Meeting Type Variations

Discovery Call

  • Focus on: Understanding their world, pain points, priorities
  • Agenda emphasis: Questions > Talking
  • Key output: Qualification signals, next step proposal

Demo / Presentation

  • Focus on: Their specific use case, tailored examples
  • Agenda emphasis: Show relevant features, get feedback
  • Key output: Technical requirements, decision timeline

Negotiation / Proposal Review

  • Focus on: Addressing concerns, justifying value
  • Agenda emphasis: Handle objections, close gaps
  • Key output: Path to agreement, clear next steps

Check-in / QBR

  • Focus on: Value delivered, expansion opportunities
  • Agenda emphasis: Review wins, surface new needs
  • Key output: Renewal confidence, upsell pipeline

Tips for Better Prep

  1. More context = better prep — Paste emails, notes, anything you have
  2. Name the attendees — Even just titles help me research
  3. State your goal — "I want to get them to agree to a pilot"
  4. Flag concerns — "They mentioned budget is tight"

Related Skills

  • account-research — Deep dive on a company before first contact
  • call-follow-up — Process call notes and execute post-call workflow
  • draft-outreach — Write personalized outreach after research

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

35.86%
按下载量换算2,840

Claude

32.12%
按下载量换算2,544

Cursor

19.24%
按下载量换算1,524

Gemini CLI

9.51%
按下载量换算753

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills