Skill comparison
Compare agent skills before installing.
Comparing 2 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Firecrawl is the strongest overall pick here because it has a 100/100 readiness score and fits Web scraping.
Strongest overall
Firecrawl
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Firecrawl
Best first install candidate based on install readiness and adoption.
Freshest repo
Firecrawl
Most recent maintenance signal among this shortlist.
| Signal | RAG With Amazon Bedrock And Pgvector Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS) | Firecrawl Turn any website into LLM-ready markdown or structured data |
|---|---|---|
| Quality | 59/100 Promising | 100/100 Excellent |
| Decision verdict | 49/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 102 stars Verified outcomes are shown on each skill page | 134K stars Verified outcomes are shown on each skill page |
| Freshness | Oct 7, 2025 | Jun 17, 2026 |
| Use-case fit | ||
| Workflow fit | ||
| Platform hints | Python, RAG, Claude Code | Claude, GPT-4, LangChain, OpenClaw, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge workflows · Claude Code teams · builders willing to evaluate younger projects | Web scraping 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 |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add aws-samples/rag-with-amazon-bedrock-and-pgvector | $ npx skills add firecrawl/firecrawl |