Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge and merge into one final plan. Use when you need a robust, bias-resistant planning workflow, structured JSON outputs, retries, and failure handling across multiple CLI agents.
Quickly install llm-council AI skill to your development environment via command line
Source: carmandale/agent-config.
Agent configuration (taskspec) Use agents.planners to define any number of planning agents, and optionally agents.judge to override the judge. If agents.judge is omitted, the first planner config is reused as the judge.
If agents is omitted in the task spec, the CLI will use the user config file when present, otherwise it falls back to the default council.
Custom commands (stdin prompt) can be used by setting kind to custom and providing command and promptmode (stdin or arg). Use extraargs to append additional CLI flags for any agent.
Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge and merge into one final plan. Use when you need a robust, bias-resistant planning workflow, structured JSON outputs, retries, and failure handling across multiple CLI agents. Source: carmandale/agent-config.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/carmandale/agent-config --skill llm-councilOrchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge and merge into one final plan. Use when you need a robust, bias-resistant planning workflow, structured JSON outputs, retries, and failure handling across multiple CLI agents. Source: carmandale/agent-config.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/carmandale/agent-config --skill llm-council Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/carmandale/agent-config