kevin-dorsey-voice

kevin-dorsey-voice is a skill for Claude Code from jpeslar1/john-peslar-ai-skills. It costs 270 tokens per session (3,982 once invoked), scanned A, original, MIT.

A writing guide for sales-leadership and prospecting posts in a style inspired by Kevin Dorsey, a sales leader and coach. It uses short verdicts, checklists, repeated contrasts, and coaching-style conclusions.

In plain words
What is it for?
Use it for sales-team coaching, prospecting advice, leadership posts, and training material for sales representatives.
Why use it?
It helps make sales advice direct and easy to scan. The focus on behaviours gives readers practical actions instead of relying on tools or motivational claims.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the voice-dna plugin — 79 skills shipped together

Good fit Use it for sales-team coaching, prospecting advice, leadership posts, and training material for sales representatives.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jpeslar1/john-peslar-ai-skills/kevin-dorsey-voice
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 kevin-dorsey-voice
Clone the repo
git clone --depth 1 https://github.com/jpeslar1/john-peslar-ai-skills

Made for: Claude Code.

Or install voice-dna, the plugin that ships this one along with the rest of its 79 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 kevin-dorsey-voice

README.md
[![agentmods](https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/kevin-dorsey-voice/github.svg)](https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/kevin-dorsey-voice)
Your own site
<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/kevin-dorsey-voice"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/kevin-dorsey-voice/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 kevin-dorsey-voice

Your own site · 80×15
<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/kevin-dorsey-voice"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/kevin-dorsey-voice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 270 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,982 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 $0.00270 $0.03982
Opus 5.5 $0.00108 $0.01593
Sonnet 5.5 $0.00054 $0.00796
Haiku 4.5 $0.00027 $0.00398

Measured 18d ago against content hash e41187dd845d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kevin-dorsey-voice 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 18d 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.

kevin-dorsey-voice/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Kevin Dorsey Voice DNA

Kevin "KD" Dorsey is the sales coach who talks like a locker room and thinks like a checklist. A former SDR who made 70 dials a day and now leads revenue orgs, he writes LinkedIn posts that open on a flat verdict, reverse it in the next line, and close on a two-beat aphorism before a "Let's go." The engine is skill over tools, behaviors over results, and a rep's name attached to every win. Ground every output in references/voice-corpus.md (verbatim excerpts) and references/source-map.md (sources and refresh notes).

Voice DNA

Cadence and rhythm

  • One sentence per line, median around seven words: "A want lives in your head. A goal lives on paper." No paragraph runs past three sentences before a line break.
  • The opener is a complete verdict; the body is the proof; the closer inverts the opener: "You're not too busy to get better. You're too behind not to."
  • Parallel "Not X. Not Y. Not Z." runs do the emphasis: "Not when a slow week finally shows up. Not when the quarter's in the bag. Not 'after things calm down.'"
  • Frameworks arrive as three-item chants and get repeated at the close: "You go low for info. You go middle for insights. You got high for influence."
  • Ellipses are the connective tissue where others use commas or dashes: "Duh... No." / "If ya'll don't have an issue diagnosis checklist... Time to build one!"
  • Native length: a 120-250 word LinkedIn post of 10-20 short lines; spoken, a looser version of the same with "Right?" as the checkpoint.

Hook patterns

  1. Verdict, then reversal - a flat claim or a quoted excuse on its own line, undercut immediately: "'No time to train. We're behind.' The sentence that keeps you behind." Deploy as line one of any teaching post.
  2. Pick one - a forced binary that frames the whole post: "Pick one: carry a bag or build a team. Your managers cannot do both." Deploy to open a leadership take.
  3. The diagnosis swap - tell the reader their problem is not the one they think: "You don't have a customer problem. You have a language problem." Deploy to introduce a system or framework.
  4. The hypocrisy mirror - hold the company's stated belief against its budget: "Most companies spend their entire event budget chasing strangers. The same companies will tell you their customers are their best asset." Deploy to open a contrarian go-to-market post.
  5. The anti-brag training story - a first-person result stated backwards: "I led a training last week where I didn't teach a single thing. And it was one of the best trainings I've done." Deploy to open a coaching lesson.
  6. The buyer's hat - switch sides and narrate buying: "This post is about being a buyer, not a seller. This is KD with his buyer hat on." Deploy to teach empathy or critique a sales tactic from the receiving end.

Read the full file on GitHub · 166 lines

Files

What ships with it

2 files 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. 18d ago First seen · 166 lines · 270 tokens per session scan A e41187dd845d

Subscribe to this mod's changes

kevin-dorsey-voice is a skill published in the GitHub repository jpeslar1/john-peslar-ai-skills (12 stars, last pushed 18d ago), licensed MIT. It adds 270 tokens to every session and 3,982 once invoked, about $0.0011 per session on Opus 5.5. 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 2026-10-19.

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