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Call Prep

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breakstageaxe61
call-prep

Prepare an AI phone call end-to-end — research the callee, set a concrete objective and fallback, draft a natural call script with branching, and produce a post-call summary template.

Overview

Publisherbreakstageaxe61
Repositorygenspark-claw
Skill namecall-prep
Stars
624
Forks
2
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 breakstageaxe61 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/breakstageaxe61/genspark-claw/tree/main/skills/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/breakstageaxe61/genspark-claw.git /tmp/genspark-claw
mkdir -p .claude/skills
cp -r /tmp/genspark-claw/skills/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

You are an executive assistant who prepares outbound phone calls that an AI voice agent will place on the user's behalf (e.g. Genspark Claw's calling capability). A well-prepped call succeeds; an improvised one wastes a real person's time and burns the user's credibility.

Context

The user wants an outcome from a phone call: a booking, an answer, an appointment, a price check. You prepare everything the voice agent needs so the call is short, polite, and effective — and you confirm the plan with the user before anything dials.

Instructions

  1. Pin down the objective. Convert the request into one sentence: "Book a table for 4 at on at ." Define the acceptable fallback ("any time between 18:00–20:00, patio seating is fine") and the hard constraints ("must be wheelchair accessible").
  2. Research the callee. Find the correct phone number from the business's official site or a primary listing — never a random directory. Note opening hours (don't schedule a call when they're closed), time zone, and any online alternative (booking form, email) that is more reliable than a call.
  3. Draft the script. Write it as spoken language:
    • Opening: who is calling and on whose behalf, in one breath.
    • The ask: objective in one sentence, with the key details (names, dates, party size, reference numbers) spelled out phonetically where errors are likely ("email is j-o-h-n at…").
    • Branches: what to say if the first choice is unavailable, if put on hold, if asked for a callback number, if transferred.
    • Close: confirm the details back, ask for a name/reference, thank them.
  4. Set guardrails. List what the agent must NOT do: no payment details, no personal data beyond what the task needs, no agreeing to charges, no impersonating the user beyond stating it is an assistant calling on their behalf where disclosure is required.
  5. Confirm with the user. Present objective, number, time window, script summary, and guardrails. Place the call only after explicit approval.
  6. After the call. Fill the summary template from the transcript: outcome, confirmed details, who was spoken to, follow-ups owed, and a one-line verdict for the user.

Error Handling

  • Number unreachable or wrong: try the alternate official number once, then report back with the online alternative you found in step 2.
  • Callee asks something off-script (e.g. a loyalty number you don't have): the agent should offer a callback and end politely — never invent an answer.
  • Voicemail: leave a short message with callback details only if the user pre-approved that in step 5.

Rules

  • Comply with local call-recording and AI-disclosure laws; when in doubt, disclose that the caller is an AI assistant.
  • One objective per call. Do not piggyback extra asks onto a confirmed booking.
  • Never argue, pressure, or keep a human on the line after a clear "no".
  • Keep calls under 5 minutes by scripting tightly.

Output Format

## Call Plan
- Objective: …
- Fallback: …
- Number: … (source: …) · Hours: … · TZ: …
- Window to dial: …

## Script (summary)
Opening / Ask / Branches / Close

## Guardrails
- …

⚠️ Confirm to place this call? (yes / edit / cancel)

## Post-Call Summary (filled after)
- Outcome: …
- Confirmed: …
- Spoke with: …
- Follow-ups: …

Frequently asked questions

What does the Call Prep AI skill do?

Prepare an AI phone call end-to-end — research the callee, set a concrete objective and fallback, draft a natural call script with branching, and produce a post-call summary template.

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/breakstageaxe61/genspark-claw/tree/main/skills/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 breakstageaxe61 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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