# aiwithremy/claude-skills-llm-council

LLM Council — a Claude Code skill that runs your decisions through 5 AI advisors with peer review

Repository: https://github.com/aiwithremy/claude-skills-llm-council
Canonical: https://ross.abutalabs.com/products/claude-skills-llm-council
License Family: other
Last push: 2026-04-26T01:08:39+00:00

## Health v2 (maintenance only)
Score: 50/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 79, release rhythm 35, longevity 9
- inputs: {"age_days": 130, "days_push": 130, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1741, forks 161 (observed 2026-08-28T04:05:30.106899+00:00)

## What it is
A Claude Code skill that runs a user's question through five independent AI advisors who peer-review each other's answers, then synthesizes a final verdict via a chairman role. It is based on Andrej Karpathy's LLM Council methodology and installs as a SKILL.md instruction set for Claude Code and Claude Cowork.

## Use cases
- get multiple AI perspectives on a tough business decision
- compare five expert opinions before launching a product or pricing a course
- have AI advisors critique each other's reasoning on a strategic pivot
- stress-test landing page copy or positioning angles
- get a synthesized recommendation showing where advisors agree and disagree
- avoid single-model bias when facing high-stakes judgment calls

## When to choose
- you use Claude Code or Claude Cowork and face genuinely uncertain decisions
- you want multi-model-style deliberation without managing multiple API calls yourself
- the cost of a bad call is high and you want peer-reviewed perspectives
- you want a zero-terminal, copy-paste skill installation

## When to avoid
- you need a factual answer with one correct response
- the task is content creation or summarization rather than judgment
- you don't use Claude Code or Claude Cowork
- you need a production software library with an API rather than a prompt-based skill
- you require a permissively licensed or formally maintained package (no license is specified)

## Facets
- artifact type: plugin
- maturity: active
- function: agent-framework, prompt-engineering, llm-inference
- domain: artificial-intelligence, large-language-models, developer-tools
- platform: cli
- tags: claude-code, claude-skill, llm-council, decision-support, peer-review, multi-perspective, no-code-install, ai-agents, web-server

## Member repositories
- aiwithremy/claude-skills-llm-council (main) score 50

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:30.106899+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:30:01.819326+00:00, confidence not recorded.
  - readme: https://github.com/aiwithremy/claude-skills-llm-council (fetched 2026-08-28T04:05:30.106899+00:00, sha e0452775d3f0)
- Data as of 2026-08-30T08:39:29.467469+00:00.