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
Embabel Agent is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
Embabel Agent
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Embabel Agent
Best first install candidate based on install readiness and adoption.
Freshest repo
Embabel Agent
Most recent maintenance signal among this shortlist.
| Signal | LLMStack No-code multi-agent framework to build LLM Agents, workflows and applications with your data | Embabel Agent Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/ | Rai RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more. | Company Research Agent An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google's Gemini 2.5 Flash and OpenAI's GPT-5.1 on the backend for inference. |
|---|---|---|---|---|
| Quality | 69/100 Promising | 100/100 Excellent | 84/100 Strong | 100/100 Excellent |
| Decision verdict | 71/100 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. | 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. |
| Adoption | 2.3K stars 0 installs | 3.7K stars 0 installs | 528 stars 0 installs | 2.0K stars 0 installs |
| Freshness | Dec 11, 2024 | Jun 17, 2026 | Jun 4, 2026 | Jun 14, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, LLM, Claude Code | Kotlin, LLM, Claude Code | Python, LLM, Claude Code | Python, LLM, Claude Code, OpenAI Agents, LangChain |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet | No major risk signals from current metadata | No OpenAgentSkill engagement data yet | No major risk signals from current metadata |
| Best for | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Research agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository 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 | 4 views 0 install copies | 0 views 0 install copies | 1 views 0 install copies |
| Install | $ npx skills add trypromptly/LLMStack | $ npx skills add embabel/embabel-agent | $ npx skills add RobotecAI/rai | $ npx skills add guy-hartstein/company-research-agent |