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 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
TF2DeepFloorplan is the strongest overall pick here because it has a 40/100 readiness score and fits GitHub automation.
Strongest overall
TF2DeepFloorplan
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
TF2DeepFloorplan
Best first install candidate based on install readiness and adoption.
Freshest repo
TF2DeepFloorplan
Most recent maintenance signal among this shortlist.
| Signal | TF2DeepFloorplan TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab. |
|---|---|
| Quality | 50/100 Needs review |
| Decision verdict | 40/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 265 stars 0 installs |
| Freshness | Jul 17, 2023 |
| Use-case fit | |
| Stack fit | |
| Platform hints | Python, GitHub, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add zcemycl/TF2DeepFloorplan |