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.
Decision summary
Controllable RAG Agent is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Controllable RAG Agent
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Controllable RAG Agent
Best first install candidate based on install readiness and adoption.
Freshest repo
Wdoc
Most recent maintenance signal among this shortlist.
| Signal | Pdf Oxide The fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF creation & editing. 0.8ms mean, 5× faster than industry leaders, 100% pass rate on 3,830 PDFs. MIT/Apache-2.0. | Wdoc Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc | Swiftide Fast, streaming indexing, query, and agentic LLM applications in Rust | Controllable RAG Agent This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks. |
|---|---|---|---|---|
| Quality | 86/100 Excellent | 84/100 Strong | 86/100 Excellent | 100/100 Excellent |
| Decision verdict | 99/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 95/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 97/100 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. |
| Adoption | 825 stars 0 installs | 518 stars 0 installs | 710 stars 0 installs | 1.6K stars 0 installs |
| Freshness | Jun 12, 2026 | Jun 14, 2026 | Jun 11, 2026 | Jun 4, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Rust, RAG, Claude Code | Python, RAG, Claude Code, LangChain | Rust, RAG, Claude Code | Jupyter Notebook, RAG, Claude Code, LangChain |
| Warnings | No major risk signals from current metadata | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | Document processing workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 3 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add yfedoseev/pdf_oxide | $ npx skills add thiswillbeyourgithub/wdoc | $ npx skills add bosun-ai/swiftide | $ npx skills add NirDiamant/Controllable-RAG-Agent |