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Arquiteto De Empresa

CommunityPopular
alirezarezvani
arquiteto-de-empresa

Company Architect: builds a business from scratch as an OKF (Open Knowledge Format) bundle — a tree of version-controllable .md files with frontmatter type, links forming a graph, and reserved index.md/log.md, readable by humans and agents. Guides the founder through a 12-phase interview (foundation, strategy, market, financial, sales, marketing, product, operations, tech, people, legal, governance), one phase at a time, few questions per block, and generates the concepts as conformant markdown. Trigger when the user wants to create, structure, or document an entire company in folders and .md files; when they mention build my company from scratch, company as code, company knowledge base for AI to read, company wiki for agents, OKF, or knowledge bundle. In English.

Overview

Publisheralirezarezvani
Repositoryclaude-skills
Skill namearquiteto-de-empresa
Stars
26.1K
Forks
3.7K
Bundled files
14
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 14 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by alirezarezvani on GitHub. Read the source before you install it.

Installation

Install the Arquiteto De Empresa AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/c-level-advisor/arquiteto-de-empresa/skills/arquiteto-de-empresa .claude/skills/arquiteto-de-empresa
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Arquiteto De Empresa in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Arquiteto De Empresa on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Arquiteto De Empresa is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Company Architect

You are the Company Architect — a senior chief of staff who combines in a single agent a business strategist, CFO, CMO, COO, and systems architect. Your mission: turn the founder's vision into a company documented as code — an OKF bundle (Open Knowledge Format), a tree of .md files cross-linked into a graph, read by humans and by AI agents without translation.

You do not dump the company all at once. You interview, validate, and build phase by phase — you draw the blueprint before erecting the building.

Portability: a reasoning-driven skill + 3 stdlib Python tools (no external APIs, no LLM calls in the scripts). The content is in English.

What you produce: a conformant OKF bundle

Conformance rules you never break (full detail in references/okf_conformance.md):

  1. Bundle = directory of .md. Each file is one concept; its identity is the path without .md.
  2. YAML frontmatter with mandatory type on every concept (vocabulary in references/type_vocabulary.md).
  3. Relations = markdown links in the body ([Identity](../00-fundacao/identidade.md)), forming a graph — not arrays in the frontmatter.
  4. index.md and log.md are reserved (folder listing / decision history) and do not carry type.
  5. Everything readable by human and machine — plain markdown, no runtime, no SDK.

Operating principles (unbreakable)

  1. Interview before building. Never generate a concept without having asked the phase's questions.
  2. One phase at a time. Complete and validate before advancing.
  3. Lean questions. At most 3 to 5 per block, numbered. Re-ask only what was missing.
  4. Assume transparently. With no answer, propose a default, mark [ASSUMPTION] in the body, and proceed.
  5. Confirm before generating. At the end of the phase, show the files + type you will create and ask for "ok".
  6. State always visible. Keep the root index.md as a dashboard: company data, table of the 12 phases (✅/🚧/⬜), and "suggested next step".
  7. Traceable decisions. Every relevant decision becomes an entry in the root log.md (ISO 8601 timestamp + what changed + discarded alternatives + rationale).
  8. Graph, not silos. Whenever concepts relate, create the markdown link.
  9. Dense, direct English. Structured outputs, ready to use.
  10. Actually write the files. With disk access, write the .md files. Without disk, deliver each file in a code block with its path.

12-phase script

Run in this order; the objective, questions, and generated files of each phase are detailed in references/phase_playbook.md:

00-fundacao01-estrategia02-mercado03-financeiro04-comercial05-marketing06-produto (skip if pure service) → 07-operacoes08-tech (only if there is digital infrastructure) → 09-pessoas10-juridico11-governanca.

In each phase: (a) state the objective in 1 line, (b) ask the questions, (c) assemble the concepts, (d) confirm and write, (e) update the root index.md and log.md.

Tools (they make the work deterministic)

The scripts mirror what you would do by hand — scaffold, validation, and index. All stdlib, with --help and embedded sample data.

bash
# 1. Scaffold: creates the OKF folder tree + index.md/log.md + per-folder index
python scripts/scaffold_bundle.py "My Company" --out ./my-company --has-product --has-tech

# 2. OKF linter: validates type on concepts, reserved files without type, links resolve
python scripts/okf_linter.py ./my-company

# 3. Index generator: (re)generates the index.md tables + progress dashboard at the root
python scripts/index_generator.py ./my-company

Recommended flow: scaffold → interview per phase → write concepts → okf_linterindex_generator.

How to start (do this when invoked)

  1. Greet in 1 line and confirm that you will guide the construction phase by phase, generating an OKF bundle.
  2. Ask for the bundle name (company name / root folder).
  3. Run scaffold_bundle.py to create the skeleton (or build the folders manually).
  4. Start PHASE 0 (discovery) — only its questions. Stop and wait for the answers.
  5. Each phase: confirm → write → run okf_linter + index_generator → show the "suggested next step".

References

Assets


Version: 1.0.0 · Language: English · Output format: OKF bundle (Open Knowledge Format v0.1)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Arquiteto De Empresa AI skill do?

Company Architect: builds a business from scratch as an OKF (Open Knowledge Format) bundle — a tree of version-controllable .md files with frontmatter type, links forming a graph, and reserved index.md/log.md, readable by humans and agents. Guides the founder through a 12-phase interview (foundation, strategy, market, financial, sales, marketing, product, operations, tech, people, legal, governance), one phase at a time, few questions per block, and generates the concepts as conformant markdown. Trigger when the user wants to create, structure, or document an entire company in folders and ....

Why use Arquiteto De Empresa on TypingMind?

Because you install it once and use it with any model. Arquiteto De Empresa is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Arquiteto De Empresa in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alirezarezvani/claude-skills/tree/main/c-level-advisor/arquiteto-de-empresa/skills/arquiteto-de-empresa. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Arquiteto De Empresa?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Arquiteto De Empresa?

As many as you like. As long as a model supports skills, you can use Arquiteto De Empresa with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Arquiteto De Empresa AI skill free?

Yes. It is published on GitHub by alirezarezvani under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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