SKLD — Skill Kinetics through Layered Darwinism

SKLD evolves Claude Agent Skills. It decomposes a skill into focused atomic variants, evolves each under targeted selection pressure with multi-layer fitness scoring, and assembles the winners into a composite skill you can download and install.

What you can do here

• Registry — browse evolved skills, inspect each variant's fitness breakdown, and download production-ready skill directories.
• SKLD-bench — controlled evaluation environments for Elixir lighthouse families (Phoenix LiveView, Ecto, Oban, and more) with hundreds of graded challenges.
• Taxonomy — explore the Domain → Focus → Language → Skill → Variant hierarchy that organizes every evolved package.
• Research — the problem SKLD is solving, the prior work it builds on, methodology, evaluation, findings so far, and the open questions.
• Evolution runs — watch the pipeline live: Taxonomist, Scientist, Spawner, Competitor, Reviewer, Breeder, Engineer agents collaborating over generations.
• Journal — the narrative record of how SKLD was built, session by session.

How it works

Each evolution run picks a skill family, decomposes it into foundation and capability dimensions, spawns a small population of variants per dimension, scores each against focused challenges, breeds survivors across generations, and assembles the winning traits into a final SKILL.md package — all observable in real time via WebSocket streams.

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