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.
Decision summary
Deer Flow is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
Deer Flow
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Deer Flow
Best first install candidate based on install readiness and adoption.
Freshest repo
Deer Flow
Most recent maintenance signal among this shortlist.
| Signal | Skrl Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments | Gym Pybullet Drones PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control | AgileRL Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization. | Deer Flow An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours. |
|---|---|---|---|---|
| Quality | 96/100 Excellent | 100/100 Excellent | 87/100 Excellent | 100/100 Excellent |
| Decision verdict | 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. | 98/100 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 | 1.1K stars 0 installs | 2.0K stars 0 installs | 925 stars 0 installs | 71K stars 0 installs |
| Freshness | May 11, 2026 | May 31, 2026 | Jun 12, 2026 | Jun 14, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, Multi-Agent, Claude Code | Python, Multi-Agent, Claude Code | Python, Multi-Agent, Claude Code | Python, Multi-Agent, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | 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 | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents 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 | 4 views 1 install copies |
| Install | $ npx skills add Toni-SM/skrl | $ npx skills add learnsyslab/gym-pybullet-drones | $ npx skills add AgileRL/AgileRL | $ npx skills add bytedance/deer-flow |