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
Llm App is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Llm App
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Llm App
Best first install candidate based on install readiness and adoption.
Freshest repo
linkedin-engager-analytics
Most recent maintenance signal among this shortlist.
| Signal | linkedin-engager-analytics Pull the people who liked or commented on any LinkedIn post and segment them by ICP fit (peer / aspirational / prospect / other). Produces an engager roster, tier breakdown, and outbound action lists (follow back, comment-drop, DM-able with one-line openers). Powered by Apify, no LinkedIn login. Triggers on \"who liked my post\", \"who engaged\", \"engagers report\", \"audience analytics\". Not for tracking author replies to your comments (use linkedin-thread-monitor). | Sim Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce. | Khoj Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free. | 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 | 78/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 89/100 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 | 4.2K stars Verified outcomes are shown on each skill page | 29K stars Verified outcomes are shown on each skill page | 35K stars Verified outcomes are shown on each skill page | 59K stars Verified outcomes are shown on each skill page |
| Freshness | Oct 6, 2026 | Jul 18, 2026 | Jun 24, 2026 | Jun 10, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Claude Code | TypeScript, RAG, Claude Code | Python, RAG, Claude Code, OpenAI Agents | 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 | Research agents 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 | 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 sergebulaev/linkedin-skills --skill linkedin-engager-analytics | $ npx skills add simstudioai/sim | $ npx skills add khoj-ai/khoj | $ npx skills add pathwaycom/llm-app |