Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
Apple Design
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Apple Design
Best first install candidate based on install readiness and adoption.
Freshest repo
alphagbm-chokepoint
Most recent maintenance signal among this shortlist.
| Signal | alphagbm-chokepoint Serenity-style "Chokepoint Theory" applied to AI supply chains. Identifies physically irreplaceable bottleneck suppliers — small-cap near-monopolies buried 4–7 layers deep — whose capacity constraints force violent repricing when demand outgrows supply. Uses a 5-factor scoring model (Concentration, Irreplaceability, Qualification Gate, Discovery Gap, Demand Tension) to screen and rank candidates. This is AlphaGBM's independent reading of Serenity (@aleabitoreddit)'s publicly shared methodology — NOT affiliated with or endorsed by Serenity. Triggers: "chokepoint analysis", "AI supply chain bottleneck", "find the shiso leaf", "Serenity-style screen", "which small-caps own the bottleneck", "InP substrate play", "co-packaged optics chokepoint", "irreplaceable supplier in AI buildout", "supply chain concentration risk" | Apple Design Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces. |
|---|---|---|
| Quality | 75/100 Strong | 100/100 Excellent |
| Decision verdict | 86/100 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 | 2.4K stars Verified outcomes are shown on each skill page | 34K stars Verified outcomes are shown on each skill page |
| Freshness | Sep 13, 2026 | Aug 21, 2026 |
| Use-case fit |
| Workflow fit |
| Platform hints | Claude Code | Claude Code, Codex, Cursor, OpenAI Agents |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Finance and quant workflows · Claude Code teams · teams that value GitHub adoption signals | Design and creative 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 |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add AlphaGBM/skills --skill alphagbm-chokepoint | $ npx skills@latest add emilkowalski/skills |