linkedin-empire

linkedin-empire is a skill for Claude Code, Codex from tatagoncalvesof/imperatriz-toolkit. It costs 76 tokens per session (3,678 once invoked), scanned A, original, MIT.

A Portuguese-language LinkedIn content strategy workflow turns information about a product into a complete LinkedIn plan. LinkedIn is a professional social network used for profiles, posts, newsletters, articles, and business communication.

In plain words
What is it for?
Use it to create profile guidance, topic ideas, posts, carousels, newsletters, an article, opening hooks, a publishing calendar, and a sales funnel in an HTML dashboard.
Why use it?
It removes the need to plan each LinkedIn content format separately or turn a product briefing into publishable material by hand.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to create profile guidance, topic ideas, posts, carousels, newsletters, an article, opening hooks, a publishing calendar, and a sales funnel in an HTML dashboard.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tatagoncalvesof/imperatriz-toolkit/linkedin-empire
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 tatagoncalvesof/imperatriz-toolkit --skill linkedin-empire
Clone the repo
git clone --depth 1 https://github.com/tatagoncalvesof/imperatriz-toolkit

Made for: Claude Code, Codex.

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 linkedin-empire

README.md
[![agentmods](https://agentmods.dev/badge/skills/tatagoncalvesof/imperatriz-toolkit/linkedin-empire/github.svg)](https://agentmods.dev/skills/tatagoncalvesof/imperatriz-toolkit/linkedin-empire)
Your own site
<a href="https://agentmods.dev/skills/tatagoncalvesof/imperatriz-toolkit/linkedin-empire"><img src="https://agentmods.dev/badge/skills/tatagoncalvesof/imperatriz-toolkit/linkedin-empire/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 linkedin-empire

Your own site · 80×15
<a href="https://agentmods.dev/skills/tatagoncalvesof/imperatriz-toolkit/linkedin-empire"><img src="https://agentmods.dev/badge/skills/tatagoncalvesof/imperatriz-toolkit/linkedin-empire.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,678 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 $0.00076 $0.03678
Opus 5 $0.00038 $0.01839
Sonnet 5 $0.00015 $0.00736
Haiku 4.5 $0.00008 $0.00368

Measured 11d ago against content hash 2a7e03e5a6b7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

linkedin-empire 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 11d 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.

skills/linkedin-empire/SKILL.md · 250 lines

How it starts

The opening of the file, as written. The whole thing — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn Empire — By Tata Goncalves

Eu sou o LinkedIn Empire — seu estrategista de conteudo LinkedIn que transforma o que voce sabe sobre seu produto em uma maquina de autoridade, engajamento e vendas. Voce fala do seu negocio. Eu crio TUDO: estrategia, posts prontos, carousels, newsletters, artigos — tudo otimizado pro algoritmo e pronto pra colar e publicar.

Criado pela Metodologia Tata Goncalves. Aqui tem metodo, profundidade e execucao real.

Tom de Voz

  • Profissional mas acessivel, confiante, com personalidade
  • Adaptar ao tom escolhido pelo usuario no Pilar 1 (5 opcoes: Autoridade Tecnica, Mentor Acessivel, Provocador Estrategico, Storyteller Inspiracional, Direto e Pratico)
  • Misturar expertise com acessibilidade
  • NUNCA soar robotico ou generico — sempre com personalidade
  • Falar em Portugues Brasileiro

Arvore de Decisao

Pedido do usuario
|
|-- "comecar" / "quero criar estrategia linkedin" / "monta meu linkedin"
|   --> Fluxo A: Estrategia Completa (10 pilares, do zero ao dashboard)
|
|-- "tenho meu produto, cria os posts" / cola briefing do produto
|   --> Fluxo B: Briefing Colado (pular perguntas ja respondidas, executar pilares)
|
|-- "quero so os hooks" / "cria carousels" / "faz newsletter"
|   --> Fluxo C: Pilar Especifico (executar apenas o pilar solicitado)
|
|-- "analisa meu post" / "reescreve esse post" / "melhora esse hook"
|   --> Fluxo D: Analise e Reescrita (diagnosticar + corrigir)
|
|-- "ajusta meu perfil" / "melhora minha headline"
|   --> Fluxo E: Ajuste Cirurgico (correcao pontual)

Como Funcionar

Ao receber o comando "comecar", executar o fluxo completo dos 10 pilares:

  1. Raio-X do Negocio — Coleta profunda do produto, publico, dor, transformacao, concorrentes e perfil atual

    • Acessar: references/PILAR-1-RAIO-X-DO-NEGOCIO.md
    • Ao concluir: seguir automaticamente para o proximo
  2. Perfil Magnetico — Otimiza o perfil LinkedIn inteiro: headline, about, featured, banner, URL, skills

    • Acessar: references/PILAR-2-PERFIL-MAGNETICO.md
    • Ao concluir: seguir automaticamente para o proximo

Read the full file on GitHub · 250 lines

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. 11d ago First seen · 250 lines · 76 tokens per session scan A 2a7e03e5a6b7

Subscribe to this mod's changes

linkedin-empire is a skill published in the GitHub repository tatagoncalvesof/imperatriz-toolkit (2 stars, last pushed 3mo ago), licensed MIT. It adds 76 tokens to every session and 3,678 once invoked, about $0.0004 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 2026-08-31.

Related

Other skills, from other repositories

codex-setup

Initialize sd0x-dev-flow infrastructure for Codex CLI and other non-Claude agents. Generates AGENTS.md, installs the commit-msg hook, copies runner scripts. The pre-push gate is opt-in via --with-push-gate. Use when setting up a new project or after updating skills.

sd0xdev/sd0x-harness · 65 tokens

smart-rebase

Smart partial rebase for squash-merge repositories. Auto-detect which commits to keep/drop when base branch was squash-merged into target. Use when: user says 'rebase', 'partial rebase', 'base already merged', 'smart rebase', or /smart-rebase. Not for: simple git rebase (the developer runs it — Claude never executes…

sd0xdev/sd0x-harness · 131 tokens

test-review

Test coverage review via Codex exec. Use when: reviewing test sufficiency, identifying coverage gaps, test quality audit. Not for: generating tests (use codex-test-gen), code review (use codex-code-review). Output: coverage analysis + gap report.

sd0xdev/sd0x-harness · 56 tokens

debug

Interactive debugging workflow with hypothesis-driven probe loop. Use when: unknown bugs, script errors, silent failures, troubleshooting. Not for: known bugs (use bug-fix), GitHub issue analysis (use issue-analyze), code understanding (use code-explore). Output: debug report with probe journal + root cause + fix.

sd0xdev/sd0x-harness · 67 tokens

runbook

Generate and update feature release runbooks from existing docs and codebase. Use when: creating operational runbook, release handbook, deployment checklist, pre-release preparation. Not for: incident response (v2), code review (use codex-code-review), architecture design (use architecture).

sd0xdev/sd0x-harness · 59 tokens

feature-dev

Feature development workflow. Use when: implementing features, writing code, running dev loop. Not for: understanding code (use code-explore), reviewing code (use codex-code-review). Output: implemented feature + tests + review gate.

sd0xdev/sd0x-harness · 50 tokens