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 2 skills

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

Decision summary

Strongest overall

Superset

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

Fastest prototype

Superset

Best first install candidate based on install readiness and adoption.

Freshest repo

Superset

Most recent maintenance signal among this shortlist.

Signal	dspy-rlm-module Use dspy.RLM (Recursive Language Model) for reasoning over contexts too large to fit in an LLM's working window — entire codebases, long logs, massive documents, or multi-step data exploration that needs a sandboxed Python REPL. Use when the input is >100k tokens, needs recursive chunking, or benefits from the LLM writing and running code to probe data.	Superset Apache Superset is a Data Visualization and Data Exploration Platform
Quality	71/100 Strong	100/100 Excellent
Decision verdict	70/100 Prototype first Prototype with this skill first; keep a fallback candidate ready.	100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack.
Adoption	277 stars Verified outcomes are shown on each skill page	75K stars Verified outcomes are shown on each skill page
Freshness	Sep 5, 2026	Sep 7, 2026
Use-case fit	Research agents RAG and knowledge Document processing	Coding agents RAG and knowledge