executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
llm-councilRun Fireworks-hosted open-weight model councils that compare responses and synthesize a final answer.
Independent GitHub snapshot · Automated classification · Original documentation governs
name: llm-council description: "Run Fireworks-hosted open-weight model councils that compare responses and synthesize a final answer." allowed-tools: Read, Write, Bash, AskUserQuestion category: "ai-agents" risk: "safe" source: "official" source_repo: "dair-ai/dair-academy-plugins" source_type: "official" date_added: "2026-06-19" author: "DAIR.AI" license: "MIT" license_source: "https://github.com/dair-ai/dair-academy-plugins/blob/main/README.md#license" tags:
Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
Use when this workflow matches the user request: Use this skill for its documented workflow.
Source: dair-ai/dair-academy-plugins (MIT).
This skill implements Karpathy's LLM Council concept where multiple open-weight LLMs deliberate on a query, powered entirely by Fireworks AI:
All inference runs through Fireworks AI using open-weight models. The speed and pricing of Fireworks makes it practical to run multi-model deliberation that would be slow or expensive on other providers.