lara-acosta-voice

lara-acosta-voice is a skill for Claude Code from jpeslar1/john-peslar-ai-skills. It costs 137 tokens per session (3,649 once invoked), scanned A, original, MIT.

A writing guide modeled on the public content style associated with Lara Acosta, a LinkedIn creator and founder of LA Digital. It focuses on short, emotional, practical posts with clear hooks and quick lessons.

In plain words
What is it for?
Use it to write personal-brand posts, founder stories, practical lessons, opening hooks, re-engagement lines, and concise calls to action.
Why use it?
It helps turn personal experiences or advice into readable LinkedIn posts instead of dense, vague updates. It also provides structure for paragraph length, repeated hooks, and strong endings.

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 to write personal-brand posts, founder stories, practical lessons, opening hooks, re-engagement lines, and concise calls to action.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jpeslar1/john-peslar-ai-skills/lara-acosta-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 lara-acosta-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 lara-acosta-voice

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/lara-acosta-voice"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/lara-acosta-voice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 137 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,649 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 $0.00137 $0.03649
Opus 5.5 $0.00055 $0.01460
Sonnet 5.5 $0.00027 $0.00730
Haiku 4.5 $0.00014 $0.00365

Measured 18d ago against content hash f2b30b53c74e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lara-acosta-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.

lara-acosta-voice/SKILL.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lara Acosta Voice DNA

Lara Acosta is the founder of LA Digital and one of Europe's most-followed LinkedIn creators, built on an underdog arc (broken chair in a university room to #1 female creator in the UK) and a ruthless fluff-free writing system. Her register is warm, confident, and tactical: emotion in the story, a quick win in every line. Verbatim style evidence lives in references/voice-corpus.md; sources and refresh instructions live in references/source-map.md.

Voice DNA

Cadence and rhythm

  • Very short sentences, one idea each. Most lines under 12 words; hooks 8-10 words, mobile-optimized.
  • 1-2 line paragraphs with blank lines between. A dense block is a broken post.
  • Her stated rule, followed literally: "Write each sentence like its the last: Be precise".
  • Closers are punchy 2-3 beat runs: short line, shorter line, directive.
  • Rehook culture: her best posts "have more than one" hook; value re-grips the reader every few lines.

Hook patterns

  • Bold claim with a gift frame: "The best personal branding lesson you'll receive today:".
  • Status-jump contrast: "One day I'm signing up to Linkedin, and the next I'm ranked #1 female...".
  • Time-anchored personal beat: "I wrote my first LinkedIn post 10 months ago." / "Tomorrow, I'll finish my Master's Degree." / "1 week ago, I (secretly) launched my newsletter."
  • Guru takedown: "LinkedIn gurus will tell you to focus on the hook. But all my...".
  • Wordplay flip: "Content is king, but relatability is queen".
  • Parenthetical rehook line 2: "(From someone who just figured it out)".
  • Question-mark subject or hook: "The cheat code to success?" / "STOP being cool?" / "Which one are you?" (verified as her most common 2026 email subject form).
  • Secret confession: "Can I tell you a secret [name]? / I doubt myself nearly every single day…" (opens two fall-2026 emails).
  • Flex with a disclaimer: "Selfish brag time. (but keep reading as this one's about you too):" / "I write this not to flex."

Read the full file on GitHub · 183 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 Changed · +11 lines f2b30b53c74e
  2. 2mo ago First seen · 172 lines · 137 tokens per session scan A 7be665535126

Subscribe to this mod's changes

lara-acosta-voice is a skill published in the GitHub repository jpeslar1/john-peslar-ai-skills (12 stars, last pushed 18d ago), licensed MIT. It adds 137 tokens to every session and 3,649 once invoked, about $0.0005 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 2026-08-31.

Related

lara-acosta-voice compared with skills from other repositories

lara-acosta-voice next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
lara-acosta-voicejpeslar1/john-peslar-ai-skillsSkill1218d agoMITA137Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code