Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 1 skill

Use this as a shortlist, then open the skill detail page before adopting.

Decision summary

Strongest overall

llm-wiki

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

llm-wiki

Best first install candidate based on install readiness and adoption.

Freshest repo

llm-wiki

Most recent maintenance signal among this shortlist.

Signal	llm-wiki The foundational knowledge distillation pattern for building and maintaining an AI-powered Obsidian wiki. Based on Andrej Karpathy's LLM Wiki architecture. Use this skill whenever the user wants to understand the wiki pattern, set up a new knowledge base, or needs guidance on the three-layer architecture (raw sources → wiki → schema). Also use when discussing knowledge management strategy, wiki structure decisions, or how to organize distilled knowledge. This is the "theory" skill — other skills handle specific operations (ingesting, querying, linting).
Quality	82/100 Strong
Decision verdict	93/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.
Adoption	3.3K stars Verified outcomes are shown on each skill page
Freshness	Sep 3, 2026
Use-case fit	Research agents Document processing RAG and knowledge
Workflow fit	Research report agent RAG knowledge base
Platform hints	Claude Code
Warnings	The WRITING.md file appears to be an empty template with no actual writing preferences; it may confuse users if they expect guidance on tone or style. · No OpenAgentSkill engagement data yet