What is mapear-rotinas?

A guided interview and creation process for turning repetitive daily or weekly tasks into custom agent skills, which are reusable instructions for automation.

Use it to map recurring tasks such as making a carousel, sending a client report, or preparing a brief, then propose and create approved skills for them.

It helps identify repeated work, define its inputs and expected results, and check whether an existing skill already covers it.

mapear-rotinas — Skill for Claude Code and Codex by felipenalves

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 felipenalves/InvOS --skill mapear-rotinas

Clone the repo

git clone --depth 1 https://github.com/felipenalves/InvOS

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/felipenalves/invos/mapear-rotinas/github.svg)](https://agentmods.dev/skills/felipenalves/invos/mapear-rotinas)

Your own site

<a href="https://agentmods.dev/skills/felipenalves/invos/mapear-rotinas"><img src="https://agentmods.dev/badge/skills/felipenalves/invos/mapear-rotinas/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/felipenalves/invos/mapear-rotinas"><img src="https://agentmods.dev/badge/skills/felipenalves/invos/mapear-rotinas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 884 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.

Model	Per session	Once invoked
Fable 5.1	$0.00108	$0.00884
Opus 5	$0.00054	$0.00442
Sonnet 5	$0.00022	$0.00177
Haiku 4.5	$0.00011	$0.00088

Measured 12d ago against content hash 7844cbc921c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

mapear-rotinas 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 12d 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.

.agents/skills/mapear-rotinas/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/mapear-rotinas — Mapeamento de tarefas repetitivas em skills

Skill de descoberta + criação. O objetivo é transformar o que o usuário repete em automações ativas.

Workflow

Passo 1 — Entrevista de descoberta

Fazer 3 perguntas, uma por vez:

"Quais 3 tarefas você repete toda semana e gostaria de não ter que pensar mais? (ex: 'criar carrossel', 'mandar relatório pro cliente', 'fazer briefing')"
"Pra cada uma delas, qual o input típico? (ex: 'um link de notícia', 'um arquivo de planilha', 'um nome de cliente')"
"E o que você espera de output? (ex: '5 slides em PNG', 'um email pronto pra enviar', 'um PDF resumindo')"

Passo 2 — Conferir catálogo

Listar .agents/skills/ (canônico). Se já existir skill que cobre a tarefa, sugerir ela em vez de criar outra:

"A tarefa X já é resolvida pela skill /<nome> que vem nativa. Quer ativar ela em vez de criar uma nova?"

Passo 3 — Proposta de skills

Pra cada tarefa que NÃO tem cobertura existente, propor uma skill no formato:

### /<nome-da-skill>
**O que faz:** [uma frase]
**Input:** [o que recebe]
**Output:** [o que entrega]
**Dependências:** [arquivos em `_memoria/`, `marca/`, ou ferramentas externas]

Mostrar todas as propostas juntas e perguntar:

"Quais skills dessa lista você quer que eu crie agora? (pode escolher todas, algumas, ou nenhuma — também pode pedir ajustes)"

Passo 4 — Criação das skills aprovadas

Pra cada skill aprovada:

Criar pasta .agents/skills/<nome>/ e symlink ln -s ../../.agents/skills/<nome> .claude/skills/<nome>
Criar SKILL.md com:
- Frontmatter: name, description (descreve quando deve ser invocada)
- Workflow estruturado em fases ou passos
- Lista de dependências (arquivos de contexto, ferramentas externas)
- Regras claras (o que sempre fazer, o que nunca fazer)
Se a skill precisar de templates ou exemplos, criar dentro da pasta da skill
Calibrar o tom e regras conforme _memoria/preferencias.md e _memoria/empresa.md

Read the full file on GitHub · 76 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.

12d ago First seen · 76 lines · 108 tokens per session scan A 7844cbc921c3

Subscribe to this mod's changes

mapear-rotinas is a skill published in the GitHub repository felipenalves/InvOS (7 stars, last pushed 9d ago), licensed MIT. It adds 108 tokens to every session and 884 once invoked, about $0.0005 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.

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