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Call Prep

Community
w95
call-prep

Prepare for a sales call with account context, attendee research, and suggested agenda. Works standalone with user input and web research, supercharged when you connect your CRM, email, chat, or transcripts. Trigger with "prep me for my call with [company]", "I'm meeting with [company] prep me", "call prep [company]", or "get me ready for [meeting]".

Overview

Publisherw95
Repositoryawesome-claude-corporate-skills
Skill namecall-prep
Stars
270
Forks
55
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by w95 on GitHub. Read the source before you install it.

Installation

Install the Call Prep AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/w95/awesome-claude-corporate-skills/tree/main/05-sales/call-prep
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/w95/awesome-claude-corporate-skills.git /tmp/awesome-claude-corporate-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-claude-corporate-skills/05-sales/call-prep .claude/skills/call-prep
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Call Prep in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Call Prep on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Call Prep is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

markdown
# 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

Frequently asked questions

What does the Call Prep AI skill do?

Prepare for a sales call with account context, attendee research, and suggested agenda. Works standalone with user input and web research, supercharged when you connect your CRM, email, chat, or transcripts. Trigger with "prep me for my call with [company]", "I'm meeting with [company] prep me", "call prep [company]", or "get me ready for [meeting]".

Why use Call Prep on TypingMind?

Because you install it once and use it with any model. Call Prep is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Call Prep in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/w95/awesome-claude-corporate-skills/tree/main/05-sales/call-prep. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Call Prep?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Call Prep?

As many as you like. As long as a model supports skills, you can use Call Prep with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Call Prep AI skill free?

Yes. It is published on GitHub by w95 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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