tracar-o-perfil-do-meu-cliente

tracar-o-perfil-do-meu-cliente is a skill for Claude Code, Codex from gethouston/houston. It costs 88 tokens per session (1,839 once invoked), scanned A, original, MIT.

A customer-profile skill that uses CRM records or information you provide to describe who buys from you, what they need, and what may stop them from buying.

In plain words
What is it for?
Use it to create or update buyer personas, rank customer problems, identify buying triggers and objections, and inform ads, landing pages, and emails.
Why use it?
It replaces guesses about your ideal customer with a profile based on real or supplied customer information.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to create or update buyer personas, rank customer problems, identify buying triggers and objections, and inform ads, landing pages, and emails.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gethouston/houston/tracar-o-perfil-do-meu-cliente
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 gethouston/houston --skill tracar-o-perfil-do-meu-cliente
Clone the repo
git clone --depth 1 https://github.com/gethouston/houston

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 tracar-o-perfil-do-meu-cliente

README.md
[![agentmods](https://agentmods.dev/badge/skills/gethouston/houston/tracar-o-perfil-do-meu-cliente/github.svg)](https://agentmods.dev/skills/gethouston/houston/tracar-o-perfil-do-meu-cliente)
Your own site
<a href="https://agentmods.dev/skills/gethouston/houston/tracar-o-perfil-do-meu-cliente"><img src="https://agentmods.dev/badge/skills/gethouston/houston/tracar-o-perfil-do-meu-cliente/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 tracar-o-perfil-do-meu-cliente

Your own site · 80×15
<a href="https://agentmods.dev/skills/gethouston/houston/tracar-o-perfil-do-meu-cliente"><img src="https://agentmods.dev/badge/skills/gethouston/houston/tracar-o-perfil-do-meu-cliente.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,839 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00088 $0.01839
Opus 5 $0.00044 $0.00920
Sonnet 5 $0.00018 $0.00368
Haiku 4.5 $0.00009 $0.00184

Measured 9d ago against content hash 2db330273cd2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

tracar-o-perfil-do-meu-cliente 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 9d 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.

store/agents-i18n/pt/marketing/.agents/skills/tracar-o-perfil-do-meu-cliente/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Traçar o perfil do meu cliente

Modelo de origem: Gumloop "Market Segmentation: Buyer Persona Pain Point Report". Adaptado para o fundador solo que toca tudo sozinho.

Quando usar

  • "trace o perfil do nosso cliente ideal" / "monte uma persona para {segment}" / "me ajude a acertar a persona do comprador para {role}".
  • "estamos subindo de mercado, refaça a persona" / "a persona de PME mudou, atualize".
  • "monte uma persona a partir das contas fechadas e ganhas" / "puxe do meu CRM, não de achismo" / "quem está realmente comprando isso, olhe as vendas fechadas".
  • Chamada implicitamente quando outra skill (ex.: plan-a-campaign, set-up-my-marketing-info) precisa de mais profundidade de persona do que config/ideal-customer.json oferece.

Conexões que eu preciso

Faço o trabalho externo pelo Composio. Antes de rodar esta skill, verifico se as categorias abaixo estão conectadas. Se faltar alguma, digo qual é a categoria, peço que você conecte pela aba de Integrações e paro.

  • CRM (HubSpot, Salesforce, Attio): puxo as principais contas ganhas e perdidas para a persona se basear em quem compra de verdade. Obrigatório se você quiser que eu deduza a persona, opcional se preferir colar.
  • Notas de reunião (Gong, Fireflies, Circleback): dores, objeções e gatilhos com as palavras exatas do cliente. Opcional, mas eleva muito a qualidade da persona.
  • Busca e raspagem na web (Exa, Perplexity, Firecrawl): preencho definições de cargo, relatórios de mercado e fluxos de trabalho comuns. Opcional.

Se você quiser uma persona baseada no CRM e nenhum CRM estiver conectado, paro e peço que você conecte HubSpot, Salesforce ou Attio (ou cole as principais contas).

Informações que eu preciso

Leio seu contexto de marketing primeiro. Para cada campo obrigatório que estiver faltando, faço UMA pergunta em linguagem simples (melhor modalidade: app conectado > envio de arquivo > URL > colar) e espero.

  • Seu posicionamento: obrigatório. Por que preciso: trabalho de persona sem uma âncora de posicionamento é trabalho jogado fora. Se faltar, pergunto: "Quer que eu rascunhe seu posicionamento primeiro? É uma skill só, leva uns cinco minutos."
  • O segmento a perfilar: obrigatório. Por que preciso: uma persona por rodada, não quero construir a errada. Se faltar, pergunto: "Qual segmento vamos perfilar, seu cliente ideal principal ou um novo? Uma descrição curta serve, ou me aponte para o seu CRM."
  • Principais contas para eu aprender: obrigatório. Por que preciso: não vou inventar dados demográficos. Se faltar, pergunto: "Conecte seu CRM para eu puxar sua lista de vendas fechadas, ou cole cinco contas (ganhas ou alvo) das quais você quer que eu aprenda."

Read the full file on GitHub · 96 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. 9d ago First seen · 96 lines · 88 tokens per session scan A 2db330273cd2

Subscribe to this mod's changes

tracar-o-perfil-do-meu-cliente is a skill published in the GitHub repository gethouston/houston (113 stars, last pushed yesterday), licensed MIT. It adds 88 tokens to every session and 1,839 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 2026-09-03.

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