Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Awesome Llm Apps is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
Awesome Llm Apps
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Awesome Llm Apps
Best first install candidate based on install readiness and adoption.
Freshest repo
Skills
Most recent maintenance signal among this shortlist.
| Signal | Skills A curated set of agent skills for Qdrant vector search, providing structured knowledge on scaling, optimization, monitoring, deployment, and SDK usage. | Awesome Llm Apps 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. | Hello Agents 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程 | Llm App Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more. |
|---|---|---|---|---|
| Quality | 96/100 Excellent | 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. |
| Adoption | 186 stars 0 installs | 114K stars 0 installs | 59K stars 0 installs | 59K stars 0 installs |
| Freshness | Jul 1, 2026 | Jun 13, 2026 | Jun 11, 2026 | Jun 10, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Claude Code | Python, RAG, Claude Code | Python, RAG, Claude Code | Jupyter Notebook, RAG, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | 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 | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents 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 | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add qdrant/skills | $ npx skills add Shubhamsaboo/awesome-llm-apps | $ npx skills add datawhalechina/hello-agents | $ npx skills add pathwaycom/llm-app |