K Lean — AI skill for Claude Code
⚰️ Archived. Multi-LLM consensus for Claude Code — the right idea about 18 months too early.
How to install K Lean
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open calinfaja/K-LEAN and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What K Lean does
⚰️ Archived. Multi-LLM consensus for Claude Code — the right idea about 18 months too early. Perplexity later shipped the same thing. Great to build, no longer needed now that coding harnesses got good.
Alternatives in AI
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- Claude Code Design Guide — From Early Internet Design Patterns to AI Agent Implementation — A Deep Dive into Claude Code for Developers 762 ★
- Real-World Pain Points — Project: https://github.com/Narwhal-Lab/MagicSkills For many teams building multi-agent systems, the first thi 277 ★
README
⚰️ Archived — here lies K-LEAN (2026)
K-LEAN tried to give Claude Code a committee: round up OpenAI, Gemini, DeepSeek, Moonshot & friends, make them argue, and ship only what they agreed on. A second opinion for your agent, before "second opinion for your agent" was a product.
The idea was good enough that other people — hi, **Perplexity** — went off and built the same thing. I'll take that as peer review.
Making it work taught me an enormous amount: LiteLLM proxying, multi-model consensus, cross-platform hooks on Windows/Linux/macOS, a persistent knowledge store, packaging to PyPI. Zero regrets on the learning.
Then the coding harnesses got *really* good. Turns out one very capable model in a very good harness beats a parliament of mediocre ones arguing in the comments. Asking five LLMs to vote on your diff became like hiring a focus group to help you tie your shoes.
Right idea, wrong decade — by about eighteen months. Archived with affection. The code still runs; it just no longer needs to.
— Calin
_(read-only now. the committee has adjourned.)_
Second opinions from multiple LLMs—right inside Claude Code
Why
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