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.

MITAuto-check passedSales & Support

Install Call Prep

skills CLI
$ npx skills add breakstageaxe61/genspark-claw --skill call-prep -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install breakstageaxe61/genspark-claw call-prep --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/breakstageaxe61/genspark-claw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/call-prep .claude/skills/call-prep && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
call-prep
GitHub stars
141
Token cost
~986 tokens
SKILL.md length
473 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 6 steps: Pin down the objective. Convert the… → Research the callee. Find the correct… → Draft the script. Write it as spoken… → …
  • Tasks that involve Sales call preparation
  • SKILL.md covers Context, Instructions, Error Handling and Rules, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Call Prep is an agent skill from breakstageaxe61/genspark-claw. 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.

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: ["genspark-claw","openclaw","hermes"]

It sits in Sales & Support, covering Sales call preparation and Meeting notes and agendas. It works with Model Context Protocol. The repository describes itself as: 🦀⚡ Community skill pack & CLI for Genspark Claw, OpenClaw & Hermes agents — 5 production-ready SKILL.md skills (deep research, reports, slides, browser automation, AI call…. The licence is MIT.

When your agent uses it

  • Tasks that involve Sales call preparation
  • Tasks that involve Meeting notes and agendas

Example prompts

  • “/call-prep”

Requirements

  • Compatibility (from SKILL.md): ["genspark-claw","openclaw","hermes"]

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Pin down the objective. Convert the request into one sentence
  2. Research the callee. Find the correct phone number from the business's
  3. Draft the script. Write it as spoken language
  4. Set guardrails. List what the agent must NOT do: no payment details, no
  5. Confirm with the user. Present objective, number, time window, script
  6. After the call. Fill the summary template from the transcript: outcome,

What it can do on your machine

Read from SKILL.md and the folder at commit 2ef198c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    ["genspark-claw","openclaw","hermes"]

    From compatibility in the SKILL.md frontmatter.

Context cost

Call Prep loads about 986 tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 473 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~986

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from breakstageaxe61/genspark-claw at commit 2ef198c, republished under its MIT licence (© breakstageaxe61). 473 words, ~986 tokens.

Download SKILL.mdSave it as .claude/skills/call-prep/SKILL.md (or your agent's skills folder).
name
call-prep
description
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.
compatibility
["genspark-claw","openclaw","hermes"]
version
1.0.0
license
MIT
triggers
call for me, phone call, book a table, make an appointment, call and ask, follow up by phone
metadata.category
communication
metadata.author
breakstageaxe61

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 <place> on <date> at <time>." 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.
Show full SKILL.md (121 more words)Show less

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: …

© breakstageaxe61, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/call-prep of breakstageaxe61/genspark-claw.

Open the folder on GitHubat commit 2ef198c

Compare with similar skills

Call Prep next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Call Prep compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Call Prep this skillbreakstageaxe61/genspark-claw141—~986Automated safety check: PassMIT
Minutes Prepsilverstein/minutes1.5k—~3.1kAutomated safety check: WarnMIT
Meeting Prep BriefBrianRWagner/ai-marketing-claude-code-skills4401 repos~922Automated safety check: PassNone
Customer Deck Builderzapier/gtm-cheat-codes342—~1.1kAutomated safety check: PassMIT
Morning Noterongxinzy/RongxinAI1541 repos~754Automated safety check: PassAGPL-3.0
Call DebriefTheCraigHewitt/skills157—~7.1kAutomated safety check: PassMIT

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Categories

Questions about Call Prep

What does Call Prep 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. Call Prep is an agent skill from breakstageaxe61/genspark-claw. 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.

When should I use Call Prep?

Call Prep fits situations like: tasks that involve Sales call preparation; tasks that involve Meeting notes and agendas.

How do I install Call Prep in Claude Code?

Run `npx skills add breakstageaxe61/genspark-claw --skill call-prep -a claude-code`. Or copy the skill folder (skills/call-prep in breakstageaxe61/genspark-claw) into .claude/skills/call-prep in your project. Claude Code loads it when a task matches its description.

How do I install Call Prep in Codex?

Run `npx skills add breakstageaxe61/genspark-claw --skill call-prep -a codex`. Or copy the skill folder (skills/call-prep in breakstageaxe61/genspark-claw) into .agents/skills/call-prep in your project. Codex loads it when a task matches its description.

Can I use Call Prep in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add breakstageaxe61/genspark-claw --skill call-prep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/call-prep, .gemini/skills/call-prep, .github/skills/call-prep and .opencode/skills/call-prep in your project.

What does Call Prep need to run?

SKILL.md names no scripts, command-line tools or credentials: Call Prep is instructions for the agent only. Compatibility (from SKILL.md): ["genspark-claw","openclaw","hermes"].

Does Call Prep access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Call Prep safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Call Prep use?

Call Prep is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Call Prep use?

About 986 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Call Prep?

Skills that share tags, products or a category with Call Prep: Minutes Prep (silverstein/minutes, 1.5k stars), Meeting Prep Brief (BrianRWagner/ai-marketing-claude-code-skills, 440 stars), Customer Deck Builder (zapier/gtm-cheat-codes, 342 stars) and Morning Note (rongxinzy/RongxinAI, 154 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Call Prep?

breakstageaxe61 (a GitHub user) maintains it in breakstageaxe61/genspark-claw, which has 141 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 26, 2026.

Source: breakstageaxe61/genspark-claw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.