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

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

Sim

Most recent maintenance signal among this shortlist.

SignalSkills

Univer Skill enables AI agents to directly manipulate spreadsheets, Excel, and CSV files via CLI with Git-style diffs, reviews, approvals, and rollbacks.

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
68/100
Promising
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
67/100
Prototype first

Prototype with this skill first; keep a fallback candidate ready.

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.

Adoption50 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
FreshnessJul 6, 2026Jul 18, 2026Jun 24, 2026Jun 10, 2026
Use-case fit
Workflow fit
Platform hintsJavaScript, Claude Code, OpenAI Agents, CursorTypeScript, RAG, Claude CodePython, RAG, Claude Code, OpenAI AgentsJupyter Notebook, RAG, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forWorkflow automation workflows · Claude Code teams · builders willing to evaluate younger projectsRAG 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
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Install
$ npx skills add dream-num/skills
$ npx skills add simstudioai/sim
$ npx skills add khoj-ai/khoj
$ npx skills add pathwaycom/llm-app