Synaptic SkillsSynapticSkills
MarketplaceSkill GraphCriar SkillMCP ServerPlataformaEnterprise
v0.1.0-beta
Voltar ao Marketplace
AgentsAvançado

LLM Council Skill

poram-will·am-will· v1.0.0 · atualizado em 2026-04-10
82
Score

>

llm-councilmulti-agent-systemplanningprompt-engineeringllm-orchestrationai-agentscollaborative-agents
0Stars
0Forks
0Usos
Fork

Documento do Skill

SKILL.mdllm-council/workflow
1. Load the task specification and explore the codebase.
2. Ask intake questions to clarify the task.
3. Generate prompts for planner agents.
4. Launch planner agents in parallel.
5. Collect and validate agent outputs.
6. Anonymize and randomize plans.
7. Run the judge agent.
8. Save judge output and final plan.

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

Uso por Plataforma

Skills Relacionados

Similar aRemembering Conversations
60%
Hebbian Synapse
Composite0.600
w = 0.3·α + 0.5·β + 0.2·γ
80
Similar aInstaclaw 🦞
60%
Hebbian Synapse
Composite0.600
w = 0.3·α + 0.5·β + 0.2·γ
78
Similar aNotebookLM Automation
60%
Hebbian Synapse
Composite0.600
w = 0.3·α + 0.5·β + 0.2·γ
82

Árvore do Skill

LLM Council Skill
llm-council
Fases Cognitivas6
1.SENSE
2.CONTEXTUALIZE
3.HYPOTHESIZE
4.ACT
5.EVALUATE
6.REFLECT
Triggers7
run llm councilexecute multi-agent planningorchestrate llm agents for taskcreate a plan using llm counciluse llm council to solve a problemrun planning agents in paralleljudge llm agent outputs

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança50%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download llm-council
$ synaptic skills detail llm-council
$ synaptic skills live llm-council

Dependências

python3

Links

GitHub Repository