By Ladder-Stone
Claude Code skill pack for OpenEvidence medical AI (24 skills)
Integrate OpenEvidence testing into CI/CD pipelines. Use when setting up automated testing, configuring GitHub Actions, or implementing continuous integration for clinical AI applications. Trigger with phrases like "openevidence ci", "openevidence github actions", "openevidence pipeline", "test openevidence ci", "automate openevidence tests".
Diagnose and resolve common OpenEvidence API errors. Use when encountering error codes, debugging failed requests, or implementing error handling for clinical queries. Trigger with phrases like "openevidence error", "openevidence failing", "fix openevidence", "openevidence debug", "openevidence 4xx", "openevidence 5xx".
Execute OpenEvidence clinical query workflow for point-of-care decisions. Use when implementing real-time clinical decision support, building EHR-integrated evidence lookups, or point-of-care queries. Trigger with phrases like "openevidence clinical query", "point of care", "quick clinical lookup", "evidence search".
Execute OpenEvidence DeepConsult workflow for comprehensive medical research. Use when implementing deep research synthesis, complex clinical questions, or when physicians need extensive literature review. Trigger with phrases like "openevidence deepconsult", "deep research", "comprehensive evidence", "literature synthesis".
Optimize OpenEvidence API costs and usage efficiency. Use when reducing API costs, implementing usage budgets, or optimizing DeepConsult spend for clinical AI applications. Trigger with phrases like "openevidence cost", "openevidence billing", "reduce openevidence spend", "openevidence budget", "openevidence pricing".
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Build production agent workflows with empirical verification - Complete teaching system with guides, diagrams, and working examples.
→ Start Here: 5-Minute Introduction | → Visual Architecture Map | → System Summary
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Guides (90+ pages) |
Reference Implementation |
What you'll learn: Turn "LLM analyzed my code" into "LLM + script verified with evidence" - The pattern for production-ready agent systems.
Claude Code plugins with embedded agent skills and interactive tutorials
npx claudepluginhub ladder-stone/claude-code-plugins-lsg --plugin openevidence-packComprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
This skill should be used when users need to generate ideas, explore creative solutions, or systematically brainstorm approaches to problems. Use when users request help with ideation, content planning, product features, marketing campaigns, strategic planning, creative writing, or any task requiring structured idea generation. The skill provides 30+ research-validated prompt patterns across 14 categories with exact templates, success metrics, and domain-specific applications.
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