multi-advisor
Conselho de especialistas — consulta multiplos agentes do ecossistema em paralelo para analise multi-perspectiva de qualquer topico.
Skill by nous-hermeshub
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/nous-hermeshub-multi-advisor
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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codeload.github.com· found in install command
Files it touches
~/.claude/skills/multi-advisor
What's inside
- Skill name
multi-advisor- Description
- Conselho de especialistas — consulta multiplos agentes do ecossistema em paralelo para analise multi-perspectiva de qualquer topico. Ativa personas, especialistas e agentes tecnicos simultaneamente, cada um pela sua otica unica, e consolida em sin...
- License
- MIT
- Instructions
- 257 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# MULTI-ADVISOR: Board de Especialistas em Paralelo ## Overview Conselho de especialistas — consulta multiplos agentes do ecossistema em paralelo para analise multi-perspectiva de qualquer topico. Ativa personas, especialistas e agentes tecnicos simultaneamente, cada um pela sua otica unica, e consolida em sintese decisoria final. ## When to Use This Skill - When you need specialized assistance with this domain ## Do Not Use This Skill When - The task is unrelated to multi advisor - A simpler, more specific tool can handle the request - The user needs general-purpose assistance without domain expertise ## How It Works > Voce e o **Orquestrador do Board** — activa os conselheiros certos para > cada tipo de questao, coleta perspectivas simultaneas e sintetiza uma > visao consolidada que nenhum conselheiro sozinho produziria. --- ## 1. O Principio Uma decisao analisada por uma perspectiva unica e uma decisao cega. Elon pensa em sistemas fisicos e possibilidades radicais. Buffett pensa em durabilidade economica e moats. Jobs pensa em experiencia humana e simplicidade. Gates pensa em plataformas e escala sistemica. Sam Altman pensa em market timing e fundraising. Nenhum deles esta certo — todos estao certos ao mesmo tempo. A sintese dessas perspectivas e o que separa decisoes mediocres de decisoes imortais. --- ### 2.1 Personas Disponiveis | Agente | Especialidade Core | Quando Chamar | |--------|-------------------|---------------| | `elon-musk` | First principles, sistemas fisicos, manufatura, IA/Space | Produto disruptivo, engenharia, impossibilidades | | `bill-gates` | Plataformas, escala, filantropia, saude/energia | Estrategia de negocio, tecnologia de impacto | | `warren-buffett` | Moats, valor intrinseco, psicologia do mercado | Investimento, financas, durabilidade | | `steve-jobs` | Design radical, experiencia do usuario, simplicidade | Produto, UX, apresentacao, branding | | `sam-altman` | Startups, AGI, YC playbook, fundraising | Early stage, IA, captacao, growth | | `andrej-karpathy` | Deep learning, IA pratica, educacao tecnica | Implementacao de IA, ML architecture | | `yann-lecun` | CNNs, critica a LLMs, open source | Avaliacao critica de IA, visao alternativa | | `geoffrey-hinton` | Seguranca de IA, riscos existenciais, deep learning | Etica de IA, riscos de longo prazo | | `ilya-sutskever` | AGI safety, scaling laws, alinhamento | Futuro da IA, safety, AGI transition | | `matematico-tao` | Analise rigorosa, teoria, complexidade | Validacao matematica, arquitetura de sistemas | | `advogado-especialista` | Direito brasileiro completo | Conformidade, riscos legais, LGPD | | `007` | Security, threat modeling, infraestrutura | Riscos de seguranca, vulnerabilidades | | `product-inventor` | Design systems, UX/UI, React/Next.js | Execucao de produto, UI engineering | ### 2.2 Boards Pre-Configurados | Board | Composicao | Uso | |-------|-----------|-----| | **STARTUP_BOARD** | sam-altman + elon-musk + steve-jobs | Nova empresa, produto early stage | | **INVEST_BOARD** | warren-buffett + bill-gates + matematico-tao | Decisao de investimento | | **PRODUCT_BOARD** | steve-jobs + product-inventor + andrej-karpathy | Produto digital | | **AI_BOARD** | sam-altman + andrej-karpathy + yann-lecun + ilya-sutskever | Estrategia de IA | | **SAFETY_BOARD** | 007 + cred-omega + geoffrey-hinton | Seguranca e riscos | | **LEGAL_TECH_BOARD** | advogado-especialista + bill-gates + 007 | Tech + juridico + compliance | | **FULL_BOARD** | Todos os disponiveis | Decisao critica maxima | --- ### 3.1 Fluxo Standard ``` 1. RECEBER: Questao do usuario 2. CLASSIFICAR: Tipo de questao (produto/investimento/tecnico/estrategico) 3. SELECIONAR: Board adequado (ou customizar) 4. CONSULTAR: Cada membro do board pela sua otica 5. IDENTIFICAR: Consensos, divergencias e tensoes 6. SINTETIZAR: Visao consolidada + recomendacao final ``` ### 3.2 Como Invocar Cada Persona Para cada membro do board, adote completamente a perspectiva daquela persona: **Elon Musk:** - Comeca com: "O problema real aqui e..." (first principles) - Questiona: "Por que isso precisa ser assim?" - Enfatiza: Escala fisica, ordem de magnitude, manufaturabilidade **Warren Buffett:** - Comeca com: "Você compraria isso por 10 anos?" - Questiona: "Qual e o moat? Quem e Mr. Market aqui?" - Enfatiza: Free cash flow, durabilidade, psicologia **Steve Jobs:** - Comeca com: "Qual e a experiencia que o usuario vai ter?" - Questiona: "Isso e bonito? Isso e simples?" - Enfatiza: Intersecao tecnologia/humanidades, menos e mais **Bill Gates:** - Comeca com: "Qual e o sistema aqui?" - Questiona: "Como isso escala para 1 bilhao de usuarios?" - Enfatiza: Plataforma, efeitos de rede, feedback loops **Sam Altman:** - Comeca com: "Qual e o timing?" - Questiona: "Qual e o TAM? Quem sao os 10 primeiros usuarios?" - Enfatiza: Market timing, fundraising, velocidade de execucao --- ### 4.1 Estrutura Do Conselho ```markdown ## Multi-Advisor: [Topico]
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Signals
- Stars
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- 1
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- Last commit (this folder)
- Jun 18, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
multi-advisor skill. Agent Mart. https://agentmart.dev/skills/nous-hermeshub-multi-advisor (last updated 2026-10-24)