sales-discovery-call-coach

sales-discovery-call-coach is a skill for Claude Code, Codex from jpeslar1/john-peslar-ai-skills. It costs 52 tokens per session (894 once invoked), scanned A, original, MIT.

A coach for preparing, practising, or reviewing a first sales discovery call for an automation service or internal pilot. A discovery call is an early business conversation used to learn about a buyer's problem and decide whether to proceed.

In plain words
What is it for?
It is used to create call agendas and openings, role-play conversations, review notes or transcripts, and prepare questions about the current process and desired outcome.
Why use it?
It helps separate verified facts from guesses and prevents a sales call from becoming an unfocused product demonstration. It also keeps attention on pain, funding, authority, timing, and a clear next step.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the sales-101 plugin — 10 skills shipped together

Good fit It is used to create call agendas and openings, role-play conversations, review notes or transcripts, and prepare questions about the current process and desired outcome.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jpeslar1/john-peslar-ai-skills/sales-discovery-call-coach
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add jpeslar1/john-peslar-ai-skills --skill sales-discovery-call-coach
Clone the repo
git clone --depth 1 https://github.com/jpeslar1/john-peslar-ai-skills

Made for: Claude Code, Codex.

Or install sales-101, the plugin that ships this one along with the rest of its 10 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for sales-discovery-call-coach

README.md
[![agentmods](https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/sales-discovery-call-coach/github.svg)](https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/sales-discovery-call-coach)
Your own site
<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/sales-discovery-call-coach"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/sales-discovery-call-coach/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for sales-discovery-call-coach

Your own site · 80×15
<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/sales-discovery-call-coach"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/sales-discovery-call-coach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 894 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.00894
Opus 5 $0.00026 $0.00447
Sonnet 5 $0.00010 $0.00179
Haiku 4.5 $0.00005 $0.00089

Measured 3d ago against content hash fb2cfee55e7e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

sales-discovery-call-coach scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

sales-discovery-call-coach/SKILL.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sales Discovery Call Coach

Prepare a conversation that establishes whether working together makes sense. When reviewing a call, use the actual notes or transcript; do not infer commitments from positive tone.

Before the call

Use the buyer's role, verified trigger, ICP, offer, known workflow, available meeting time, and existing correspondence. Separate known facts, hypotheses, and questions. If context is thin, produce a general agenda and flag the claims that cannot yet be personalized.

Draft an opening under 60 seconds: agree the purpose, available time, permission to ask about the current process, and a mutual next-step decision at the end. Avoid leading with a product tour.

Five illumination questions

Adapt these to the buyer's words and let answers determine follow-ups:

  1. How does this workflow work today, and where does it break down?
  2. What happens when that breaks, and who feels the impact?
  3. What have you tried, and what stopped that from solving it?
  4. What changed that makes this worth addressing now?
  5. How would you decide whether a pilot worked, and who would need to approve it?

Follow with funding, timing, access, volume, baseline, and implementation questions only where missing answers affect fit. Ask how the buyer estimates the cost rather than inventing revenue loss. A title is not proof of purchasing authority. Record both the user of the workflow and the approver.

Summarize what you heard and invite correction before connecting an offer to the problem. If there is no material pain, feasible funding path, priority, or deliverable fit, explain the mismatch and suggest a clean exit. Avoid overcoming a real disqualifier with more persuasion.

Close for a mutual next step

For a fit, name the next event, purpose, attendees, owner, date/time, and prerequisite. A proposal should answer a decision already understood. If another stakeholder is required, propose a joint review and ask what they need to decide. Do not treat "I'll send something" as progress.

Read the full file on GitHub · 57 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 57 lines · 52 tokens per session scan A fb2cfee55e7e

Subscribe to this mod's changes

sales-discovery-call-coach is a skill published in the GitHub repository jpeslar1/john-peslar-ai-skills (6 stars, last pushed 3d ago), licensed MIT. It adds 52 tokens to every session and 894 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-09.

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