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
agent-development is the strongest overall pick here because it has a 57/100 readiness score and fits RAG and knowledge.
Strongest overall
agent-development
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
agent-development
Best first install candidate based on install readiness and adoption.
Freshest repo
agent-development
Most recent maintenance signal among this shortlist.
| Signal | agent-development Design and build AI agents with persistent memory, tool use, and multi-turn conversation. Covers architecture selection, memory design, model selection, tool configuration, and implementation patterns across agent frameworks. Use when creating, debugging, or improving AI agents. |
|---|---|
| Quality | 58/100 Promising |
| Decision verdict | 57/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 14 stars Verified outcomes are shown on each skill page |
| Freshness | Aug 22, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code, OpenAI Agents |
| Warnings | Low GitHub adoption signal · The SKILL.md is well-written but does not explicitly list 'Inputs' and 'Outputs' sections, which could improve clarity for agents invoking the skill. · No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add greedychipmunk/agent-skills --skill agent-development |