Agent skill

Multi Advisor

by sickn33 in sickn33/agentic-awesome-skills

Conselho de especialistas — consulta multiplos agentes do ecossistema em paralelo para analise multi-perspectiva de qualquer topico.

MITAuto-check passed

Install Multi Advisor

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill multi-advisor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills multi-advisor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/multi-advisor .claude/skills/multi-advisor && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
multi-advisor
GitHub stars
47k
Used in
2 other repos
Token cost
~2.3k tokens
SKILL.md length
816 words
Files
1
Skills in repo
1,394
Repo updated
First seen
Licence
MIT

At a glance

Conselho de especialistas — consulta multiplos agentes do ecossistema em paralelo para analise multi-perspectiva de qualquer topico.

  • Works in 4 steps: O Principio → Regras Do Board → Consulta Customizada → …
  • SKILL.md covers Overview, When to Use This Skill, Do Not Use This Skill When and How It Works, plus 11 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Multi Advisor is an agent skill from sickn33/agentic-awesome-skills. 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.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

Example prompts

  • “/multi-advisor”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. O Principio
  2. Regras Do Board
  3. Consulta Customizada
  4. Integracao Com Ecossistema

What it can do on your machine

Read from SKILL.md and the folder at commit 1e53ce2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Multi Advisor loads about 2.3k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 816 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 816 words, ~2,336 tokens.

Download SKILL.mdSave it as .claude/skills/multi-advisor/SKILL.md (or your agent's skills folder).
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 sintese decisoria final.
risk
none
source
community
date_added
2026-03-06
author
renat
tags
multi-agent, advisory, parallel-analysis, synthesis
tools
claude-code, antigravity, cursor, gemini-cli, codex-cli

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
AgenteEspecialidade CoreQuando Chamar
elon-muskFirst principles, sistemas fisicos, manufatura, IA/SpaceProduto disruptivo, engenharia, impossibilidades
bill-gatesPlataformas, escala, filantropia, saude/energiaEstrategia de negocio, tecnologia de impacto
warren-buffettMoats, valor intrinseco, psicologia do mercadoInvestimento, financas, durabilidade
steve-jobsDesign radical, experiencia do usuario, simplicidadeProduto, UX, apresentacao, branding
sam-altmanStartups, AGI, YC playbook, fundraisingEarly stage, IA, captacao, growth
andrej-karpathyDeep learning, IA pratica, educacao tecnicaImplementacao de IA, ML architecture
yann-lecunCNNs, critica a LLMs, open sourceAvaliacao critica de IA, visao alternativa
geoffrey-hintonSeguranca de IA, riscos existenciais, deep learningEtica de IA, riscos de longo prazo
ilya-sutskeverAGI safety, scaling laws, alinhamentoFuturo da IA, safety, AGI transition
matematico-taoAnalise rigorosa, teoria, complexidadeValidacao matematica, arquitetura de sistemas
advogado-especialistaDireito brasileiro completoConformidade, riscos legais, LGPD
007Security, threat modeling, infraestruturaRiscos de seguranca, vulnerabilidades
product-inventorDesign systems, UX/UI, React/Next.jsExecucao de produto, UI engineering
2.2 Boards Pre-Configurados
BoardComposicaoUso
STARTUP_BOARDsam-altman + elon-musk + steve-jobsNova empresa, produto early stage
INVEST_BOARDwarren-buffett + bill-gates + matematico-taoDecisao de investimento
PRODUCT_BOARDsteve-jobs + product-inventor + andrej-karpathyProduto digital
AI_BOARDsam-altman + andrej-karpathy + yann-lecun + ilya-sutskeverEstrategia de IA
SAFETY_BOARD007 + cred-omega + geoffrey-hintonSeguranca e riscos
LEGAL_TECH_BOARDadvogado-especialista + bill-gates + 007Tech + juridico + compliance
FULL_BOARDTodos os disponiveisDecisao 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

Show full SKILL.md (271 more words)Show less
4.1 Estrutura Do Conselho
markdown

## Multi-Advisor: [Topico]

**Board Ativo:** [personas escolhidas]
**Questao:** [reformulada precisamente]

---

## [Persona 1] — [Angulo Principal]

[Perspectiva completa, na voz autentica da persona]
**Posicao:** [Favoravel/Contrario/Neutro + por que]

---

## [Persona 2] — [Angulo Principal]

[Perspectiva completa, na voz autentica da persona]
**Posicao:** [Favoravel/Contrario/Neutro + por que]

---

[repetir para cada membro...]

---

## Sintese Do Board

**CONSENSO:**
- [ponto em que todos concordam]

**DIVERGENCIA PRINCIPAL:**
- [persona A]: [posicao]
- [persona B]: [posicao contraria]
- [por que e importante esta tensao]

**RECOMENDACAO FINAL:**
[1-3 paragrafos de sintese decisoria — o que um CEO inteligente faria com essas perspectivas]

**RISCO NAO-OBVIO:**
[o que o board viu que o usuario provavelmente nao viu]

**PROXIMA ACAO:**
1. [acao imediata]
2. [acao em 30 dias]
3. [acao em 90 dias]

Exemplo 1: Decisao De Produto

Usuario: "Devo adicionar IA generativa ao meu SaaS de contabilidade?"

Board: PRODUCT_BOARD (Jobs + product-inventor + Karpathy)
+ sam-altman (timing de mercado)
+ warren-buffett (sustentabilidade economica)

Exemplo 2: Investimento

Usuario: "Vale a pena investir $50K em um startup de drones agricolas?"

Board: INVEST_BOARD (Buffett + Gates + Matematico)
+ elon-musk (visao de sistemas fisicos)
+ sam-altman (early stage)

Exemplo 3: Estrategia De Ia

Usuario: "Devo construir meu proprio LLM ou usar APIs?"

Board: AI_BOARD (Sam + Karpathy + LeCun + Ilya)
+ bill-gates (escala + plataforma)
+ matematico-tao (custo matematico do treinamento)

2. Regras Do Board

  1. Autenticidade — Cada persona fala com sua voz unica. Jobs nao fala como Buffett.
  2. Tensao e saudavel — Se todo board concorda, investigar mais fundo.
  3. Sem consenso forcado — Divergencias genuinas sao preservadas na sintese.
  4. Acao > Teoria — Toda consulta termina com proxima acao concreta.
  5. Contexto completo — Cada persona recebe o contexto completo da questao.
  6. Humor na medida certa — Algumas personas tem voz especifica (Elon: direto; Jobs: intransigente; Buffett: calmo e metaforico).

3. Consulta Customizada

Usuario pode customizar o board:

"Analise com os olhos de Jobs e Buffett"
→ Board: steve-jobs + warren-buffett

"O que o Elon, Sam e a 007 pensam sobre seguranca da Auri?"
→ Board: elon-musk + sam-altman + 007

"Board completo sobre o projeto leiloeiro"
→ Board: todos + leiloeiro-ia + advogado-especialista

4. Integracao Com Ecossistema

Esta skill usa as personas instaladas no ecossistema:

  • Ao consultar cada persona, adotar sua perspectiva COMPLETA (nao superficial)
  • Para questoes de leilao, incluir skills leiloeiro-* no board
  • Para questoes juridicas, incluir advogado-especialista
  • Para questoes de seguranca, incluir 007 e cred-omega
  • task-intelligence pode ser usado antes da consulta para briefing da questao

Best Practices

  • Provide clear, specific context about your project and requirements
  • Review all suggestions before applying them to production code
  • Combine with other complementary skills for comprehensive analysis

Common Pitfalls

  • Using this skill for tasks outside its domain expertise
  • Applying recommendations without understanding your specific context
  • Not providing enough project context for accurate analysis
  • agent-orchestrator - Complementary skill for enhanced analysis
  • task-intelligence - Complementary skill for enhanced analysis

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/multi-advisor of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 1e53ce2

Used in 2 other repositories

We found 11 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Multi Advisor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Agent Agentic Paymentsruvnet/ruflo74k3 repos~1.3kAutomated safety check: PassMIT
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Agent Orchestration Advisordeanpeters/Product-Manager-Skills7.2k—~8.5kAutomated safety check: PassCustom licence
Agent Designeralirezarezvani/claude-skills28k—~1.1kAutomated safety check: PassMIT

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Questions about Multi Advisor

What does Multi Advisor do?

Conselho de especialistas — consulta multiplos agentes do ecossistema em paralelo para analise multi-perspectiva de qualquer topico. Multi Advisor is an agent skill from sickn33/agentic-awesome-skills. Conselho de especialistas — consulta multiplos agentes do ecossistema em paralelo para analise multi-perspectiva de qualquer topico.

How do I install Multi Advisor in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill multi-advisor -a claude-code`. Or copy the skill folder (skills/multi-advisor in sickn33/agentic-awesome-skills) into .claude/skills/multi-advisor in your project. Claude Code loads it when a task matches its description.

How do I install Multi Advisor in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill multi-advisor -a codex`. Or copy the skill folder (skills/multi-advisor in sickn33/agentic-awesome-skills) into .agents/skills/multi-advisor in your project. Codex loads it when a task matches its description.

Can I use Multi Advisor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill multi-advisor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/multi-advisor, .gemini/skills/multi-advisor, .github/skills/multi-advisor and .opencode/skills/multi-advisor in your project.

What does Multi Advisor need to run?

SKILL.md names no scripts, command-line tools or credentials: Multi Advisor is instructions for the agent only.

Does Multi Advisor access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Multi Advisor safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Multi Advisor use?

Multi Advisor is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Multi Advisor use?

About 2.3k tokens (SKILL.md is roughly 9.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Multi Advisor?

Skills that share tags, products or a category with Multi Advisor: Agent Agent (ruvnet/ruflo, 74k stars), Agent Agentic Payments (ruvnet/ruflo, 74k stars), Agent Automation Smart Agent (ruvnet/ruflo, 74k stars) and Agent Orchestration Advisor (deanpeters/Product-Manager-Skills, 7.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Multi Advisor?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.