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
Distill is the strongest overall pick here because it has a 73/100 readiness score and fits Coding agents.
Strongest overall
Distill
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
Distill
Best first install candidate based on install readiness and adoption.
Freshest repo
Distill
Most recent maintenance signal among this shortlist.
| Signal | Distill Context intelligence layer for LLM agents: persistent memory with write-time dedup, sensitivity tagging, conflict detection, and hierarchical decay. ~12ms. No LLM calls. MIT. |
|---|---|
| Quality | 74/100 Strong |
| Decision verdict | 73/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 172 stars 0 installs |
| Freshness | May 9, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Go, Developer Tools, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add Siddhant-K-code/distill |