Skill Whatevertr Inventario Processos — Productivity skill for Claude Code
Claude Skill (método agnóstico de modelo) que transforma insumos brutos — transcrição, áudio, docs, anotações — em um Inventário de Processos SIPOC-R em .xlsx.
How to install Skill Whatevertr Inventario Processos
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open whatevertr/skill-whatevertr-inventario-processos and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Skill Whatevertr Inventario Processos does
Claude Skill (método agnóstico de modelo) que transforma insumos brutos — transcrição, áudio, docs, anotações — em um Inventário de Processos SIPOC-R em .xlsx. Parte do NUD | Constellation Method, de Thainá Ramos. CC-BY-4.0.
Alternatives in Productivity
- Skill Whatevertr Diagnostico De Riscos — Claude Skill (método agnóstico de modelo) que transforma um Inventário de Processos SIPOC-R em diagnóstico con 1 ★
- Skill Nud Inventario Processos — Claude Skill (método agnóstico de modelo) que transforma insumos brutos — transcrição, áudio, docs, anotações
- Skill Nud Diagnostico De Riscos — Claude Skill (método agnóstico de modelo) que transforma um Inventário de Processos SIPOC-R em diagnóstico con
README
whatevertr-inventario-processos
[](https://creativecommons.org/licenses/by/4.0/)
This is a **skill I built for Claude** (Anthropic) to turn raw inputs — transcripts, audio, `.pptx`, `.docx`, policies, procedures, notes and PDF flowcharts — into a **Process Inventory** in the **SIPOC-R** model, delivered as a ready-to-use `.xlsx`. I made it for my own process-engineering work and use it daily; I'm sharing it here in case it's useful to you too.
Part of the **NUD | Constellation Method**, by Thainá Ramos.
**How I use it & compatibility:** I package it as a **Claude Skill** (Anthropic's Agent Skills format, so it triggers on its own in Claude Code / claude.ai). It's **designed to be model-agnostic** — the method is just `SKILL.md` + `references/`, so I also paste it as context into other chat LLMs, and `builder.py` is plain Python (I've run it in ChatGPT's Code Interpreter). Everything needed to install and run is in this repo, and I keep improving that so it's easy to pick up.
**On evidence, honestly:** what I can vouch for is my own use — it works for me. You can reproduce the output yourself from the repo. How well the *method* generalizes beyond my cases is something I'm still learning, and I'd love to hear from you if you test it.
What it does
- Reads the input with process technique and puts each process on its own row (one owner per row).
- Fills the SIPOC-R model: Supplier · Input · Process · Owner · Output · Customer, plus SLA, Indicator, Systems, Legislation, Risks, Opportunities.
- **Infers risks (FMEA-inspired, severity only) and applicable legislat
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