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Llm_council_skill

Say goodbye to single AI's subjective judgments
Brainstorm with an AI think tank
Core Principle:
LLM Council assembles multiple AI models as a 'council' to reach optimal solutions through rigorous deliberation. Stage 1 collects opinions, Stage 2 conducts anonymous peer reviews, and finally the 'Chairman' synthesizes the best answer. Ideal for critical decisions or complex technical problems requiring thorough debates.
KEY FEATURES
01Council Decision
Three-stage rigorous process ensures well-argued conclusions
02Anonymous Review
Hide model identities to avoid scoring bias
03Live Dashboard
Visually monitor each model's thinking progress
04Git Integration
Auto-generate separate work branches for each model
github.com/shuntacurosu/llm_council_skill
testing-security·shuntacurosu·2026-01-05·1·🔱 0
Curated by agent-skills.cc
Installation
Download
HTTPS
git clone https://github.com/shuntacurosu/llm_council_skill.git
SSH
git clone [email protected]:shuntacurosu/llm_council_skill.git
GitHub CLI
gh repo clone shuntacurosu/llm_council_skill
FAQ
Q: What are the installation steps for Llm_council_skill Agent Skills?
1.Collect Opinions: Each model answers independently
2.Anonymous Review: Models score each other
3.Final Synthesis: Chairman integrates best solution
4.Output Result: Return well-argued final answer
Q: What are the highlights of Llm_council_skill Agent Skills?
  • AI council system
  • Anonymous fair review
  • Real-time progress visualization
  • One-click merge best solution
Q: What are the use cases for Llm_council_skill Agent Skills?
  • Technical solution review
  • Code refactoring decision
  • Product strategy formulation
  • Academic paper revision
Q: What are the limitations of Llm_council_skill Agent Skills?
  • Requires multiple model API configurations
  • Longer response time than single model