Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Anthropic Brand Guidelines is the strongest overall pick here because it has a 100/100 readiness score and fits Design and creative.
Strongest overall
Anthropic Brand Guidelines
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Anthropic Brand Guidelines
Best first install candidate based on install readiness and adoption.
Freshest repo
Anthropic Brand Guidelines
Most recent maintenance signal among this shortlist.
| Signal | Anthropic Brand Guidelines Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts. | Vectorbt The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one. | FinanceDatabase This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets. | Qlib Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process. |
|---|---|---|---|---|
| Quality | 100/100 Excellent | 100/100 Excellent | 100/100 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. | 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. |
| Adoption | 166K stars 0 installs | 7.9K stars 0 installs | 7.9K stars 0 installs | 44K stars 0 installs |
| Freshness | Jul 24, 2026 | Jun 10, 2026 | Jun 17, 2026 | Apr 22, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Claude Code, Codex, Cursor, OpenAI Agents | Python, Finance, Claude Code | Python, Market Data, Claude Code | Python, Finance, Claude Code |
| Warnings | Brand guidance is source-specific; do not apply Anthropic identity to unrelated organizations without permission. · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Design and creative workflows · Claude Code teams · teams that value GitHub adoption signals | Finance and quant workflows · Claude Code teams · teams that value GitHub adoption signals | Finance and quant workflows · Claude Code teams · teams that value GitHub adoption signals | Finance and quant workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository 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 | 0 views 0 install copies |
| Install | $ npx skills add anthropics/skills --skill brand-guidelines | $ npx skills add polakowo/vectorbt | $ npx skills add JerBouma/FinanceDatabase | $ npx skills add microsoft/qlib |