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 4 skills

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

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Decision summary

Logseq is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.

Strongest overall

Logseq

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

Fastest prototype

Logseq

Best first install candidate based on install readiness and adoption.

Freshest repo

Logseq

Most recent maintenance signal among this shortlist.

SignalHtml To Markdown

High performance and CommonMark compliant HTML to Markdown converter. Maintained by the Kreuzberg team. Kreuzberg is a fast, polyglot document intelligence engine with a Rust core. It extracts structured data from 56+ document formats using streaming parsers and built-in OCR.

Logseq

A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: https://logseq.io/p/NX4mc_ggEV

LightRAG

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

Lancedb

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

Quality
80/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
95/100
Production-ready

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

100/100
Production-ready

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

100/100
Production-ready

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

100/100
Production-ready

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

Adoption767 stars
Verified outcomes are shown on each skill page
44K stars
Verified outcomes are shown on each skill page
37K stars
Verified outcomes are shown on each skill page
11K stars
Verified outcomes are shown on each skill page
FreshnessJun 14, 2026Jun 25, 2026Jun 18, 2026Jun 15, 2026
Use-case fit
Workflow fit
Platform hintsHTML, RAG, Claude CodeClojure, Knowledge Graph, Claude CodePython, Knowledge Graph, Claude Code, OpenAI AgentsHTML, Semantic Search, Claude Code
WarningsNo major risk signals from current metadataNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forDocument processing workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement7 views
1 install copies
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Install
$ npx skills add kreuzberg-dev/html-to-markdown
$ npx skills add logseq/logseq
$ npx skills add HKUDS/LightRAG
$ npx skills add lancedb/lancedb