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Execute qualquer Skill no Manus com um clique

llm-council

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Atualizado20 de março de 2026 às 11:09

Multi-model LLM Council with live dashboard. Query multiple AI models simultaneously, see responses side-by-side in a swarm-style dashboard, synthesize consensus, and run anonymous model-to-model voting. Use when the user asks to start the LLM council, compare models, query multiple models, convene council, ask all models, do model comparison, run multi-model queries, or launch the council dashboard. Supports Claude Sonnet 4.5, Claude Opus 4.5, GPT-4o, GPT-5.1, Gemini 2.5 Flash, and Gemini 2.5 Pro via AI Gateway.

Instalação

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

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Fonte

happycapy-ai

happycapy-ai/Happycapy-skills

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Desenvolvedores de softwareInformática e Matemática·SOC 15-1252

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7 arquivos

SKILL.md

readonly

name

llm-council

description

LLM Council

Query multiple AI models in parallel with a live web dashboard.

Launch

cd ~/.claude/skills/llm-council/scripts
# Kill any existing server on the port
fuser -k 8787/tcp 2>/dev/null
# Start server
nohup python3 server.py > /tmp/council-server.log 2>&1 &
# Wait for startup, verify health
sleep 2 && curl -s --max-time 5 http://localhost:8787/health
# Export port for browser access
/app/export-port.sh 8787

Environment: COUNCIL_PORT (default 8787), AI_GATEWAY_API_KEY (required, auto-detected from environment).

Files

scripts/server.py - ThreadingHTTPServer, serves static files + API routes, SSE streaming
scripts/ai_gateway.py - AI Gateway client: query, parallel query, streaming, synthesis, anonymous voting
scripts/static/index.html - Dashboard UI (HappyCapy design system, light/dark theme)
scripts/static/app.js - Client-side logic (model selector, SSE parsing, markdown rendering, voting UI)

API

Method	Path	Description
GET	`/`	Dashboard
GET	`/api/models`	List models
GET	`/health`	Health check
POST	`/api/council/stream`	Query models (SSE)
POST	`/api/council/synthesize`	Synthesize consensus
POST	`/api/council/vote`	Anonymous model vote (SSE with keepalive)

Key Details

Server uses ThreadingHTTPServer for concurrent request handling
Vote endpoint streams SSE keepalive pings every 5s to prevent proxy timeouts (Cloudflare 524)
Static files served with Cache-Control: no-store, no-cache headers
Script tag uses cache-busting version param: app.js?v=... (bump when editing app.js)
Model IDs use dots not hyphens: anthropic/claude-sonnet-4.5 (not claude-sonnet-4-5)

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name

llm-council

description

LLM Council

Query multiple AI models in parallel with a live web dashboard.

Launch

cd ~/.claude/skills/llm-council/scripts
# Kill any existing server on the port
fuser -k 8787/tcp 2>/dev/null
# Start server
nohup python3 server.py > /tmp/council-server.log 2>&1 &
# Wait for startup, verify health
sleep 2 && curl -s --max-time 5 http://localhost:8787/health
# Export port for browser access
/app/export-port.sh 8787

Environment: COUNCIL_PORT (default 8787), AI_GATEWAY_API_KEY (required, auto-detected from environment).

Files

scripts/server.py - ThreadingHTTPServer, serves static files + API routes, SSE streaming
scripts/ai_gateway.py - AI Gateway client: query, parallel query, streaming, synthesis, anonymous voting
scripts/static/index.html - Dashboard UI (HappyCapy design system, light/dark theme)
scripts/static/app.js - Client-side logic (model selector, SSE parsing, markdown rendering, voting UI)

API

Method	Path	Description
GET	`/`	Dashboard
GET	`/api/models`	List models
GET	`/health`	Health check
POST	`/api/council/stream`	Query models (SSE)
POST	`/api/council/synthesize`	Synthesize consensus
POST	`/api/council/vote`	Anonymous model vote (SSE with keepalive)

Key Details

Server uses ThreadingHTTPServer for concurrent request handling
Vote endpoint streams SSE keepalive pings every 5s to prevent proxy timeouts (Cloudflare 524)
Static files served with Cache-Control: no-store, no-cache headers
Script tag uses cache-busting version param: app.js?v=... (bump when editing app.js)
Model IDs use dots not hyphens: anthropic/claude-sonnet-4.5 (not claude-sonnet-4-5)