LLM Council Skill

Quick start

• Always check for an existing agents config file first ($XDG_CONFIG_HOME/llm-council/agents.json or ~/.config/llm-council/agents.json). If none exists, tell the user to run ./setup.sh to configure or update agents.
• The orchestrator must always ask thorough intake questions first, then generates prompts so planners do not ask questions.
  • Even if the initial prompt is strong, ask at least a few clarifying questions about ambiguities, constraints, and success criteria.
• Tell the user that answering intake questions is optional, but more detail improves the quality of the final plan.
• Use python3 scripts/llm_council.py run --spec /path/to/spec.json to run the council.
• Plans are produced as Markdown files for auditability.
• Run artifacts are saved under ./llm-council/runs/<timestamp> relative to the current working directory.
• Configure defaults interactively with python3 scripts/llm_council.py configure (writes $XDG_CONFIG_HOME/llm-council/agents.json or ~/.config/llm-council/agents.json).