Skill UI

Guides installing the OpenEvidence SDK, setting API keys and org IDs, and verifying the connection so developers can securely bootstrap OpenEvidence integrations for clinical decision support.

Controls OpenEvidence clinical API throughput by enforcing per-endpoint limits, prioritizing stat queries, and handling 429s with retries and backoff so latency-sensitive medical requests remain compliant and responsive.

Guides teams integrating with OpenEvidence to apply HIPAA-safe workflows for credential handling, PHI sanitization, audit logging, webhook verification, and retention policies before production deployment.

Guides upgrading the OpenEvidence SDK, migrating between API versions, and building adapters so clinical workflows keep running while you switch dependencies, type definitions, and deep consult integrations.

Implements load balancing strategies for OpenRouter by distributing requests across multiple API keys or configurations, ensuring scalable traffic handling and geographic distribution for resilient integrations.

Flash Attention optimizer delivers 2-4x speedup and 10-20x memory savings for transformer attention, ideal when training or running long-context models that hit GPU memory or latency limits; supports PyTorch native scaled_dot_product_attention, the flash-attn library, H100 FP8 precision, and sliding-window attention.

Helps analyze and enhance application caching strategies by reviewing TTLs, key structures, hit rates, and invalidation policies to boost Redis or Memcached performance.

Orchestrates complex multi-stage deployment pipelines by generating production-ready configs and setup code based on user requirements, ideal for automating CI/CD and reliable software releases.

Coordinates parallel test execution across suites, frameworks, and CI workers, handling sharding, retries, report aggregation, and resource-aware tiers for faster, reliable pipelines.

Enables Claude to orchestrate complex test workflows via the test-orchestrator plugin, defining dependencies, parallel execution, and smart selection so only affected suites run during CI/CD or manual optimization requests.

A specialized skill designed for agents to proactively identify, analyze, and strategize high-impact contributions within trending Open Source repositories. It systematically performs repository discovery, extracts targeted issues (like 'help wanted' or 'good first issue'), and conducts deep feasibility analysis (including mergeability and complexity). Finally, it generates a structured 'Contribution Dossier' with actionable plans, significantly accelerating the process of becoming a top-tier OSS contributor.

Automated guidance for DevOps practitioners handling package json manager tasks, offering best practices, configuration generation, and validation for foundational CI/CD and infrastructure workflows.