Create a minimal working Langfuse trace example. Use when starting a new Langfuse integration, testing your setup, or learning basic Langfuse tracing patterns. Trigger with phrases like "langfuse hello world", "langfuse example", "langfuse quick start", "first langfuse trace", "simple langfuse code".

Install and configure Groq SDK authentication for TypeScript or Python. Use when setting up a new Groq integration, configuring API keys, or initializing the groq-sdk in your project. Trigger with phrases like "install groq", "setup groq", "groq auth", "configure groq API key".

Create API gateways with routing, load balancing, rate limiting, and authentication. Use when routing and managing multiple API services. Trigger with phrases like "build API gateway", "create API router", or "setup API gateway".

Optimize Juicebox performance. Trigger: "juicebox performance", "optimize juicebox".

Configure Guidewire multi-environment: dev, staging, and production with configuration promotion. Trigger: "guidewire multi env setup", "multi-env-setup".

Optimize Fireflies.ai GraphQL query performance with field selection, caching, and batching. Use when experiencing slow API responses, implementing caching, or optimizing transcript processing throughput. Trigger with phrases like "fireflies performance", "optimize fireflies", "fireflies latency", "fireflies caching", "fireflies slow", "fireflies batch".

Deploy Firecrawl integrations to Vercel, Cloud Run, and Docker platforms. Use when deploying Firecrawl-powered applications to production, configuring platform-specific secrets, or setting up self-hosted Firecrawl. Trigger with phrases like "deploy firecrawl", "firecrawl Vercel", "firecrawl production deploy", "firecrawl Cloud Run", "firecrawl Docker".

Configure Deepgram multi-environment setup for dev, staging, and production. Use when setting up environment-specific configurations, managing multiple Deepgram projects, or implementing environment isolation. Trigger: "deepgram environments", "deepgram staging", "deepgram dev prod", "multi-environment deepgram", "deepgram config management".

Conduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).

Access COSMIC cancer mutation database. Query somatic mutations, Cancer Gene Census, mutational signatures, gene fusions, for cancer research and precision oncology. Requires authentication.

Detect patterns, anomalies, and trends in code and data. Use when identifying code smells, finding security vulnerabilities, or discovering recurring patterns. Handles regex patterns, AST analysis, and statistical anomaly detection.

Simulates NIH study section peer review for grant proposals. Triggers when user wants mock review, critique, or evaluation of a grant proposal before submission. Generates structured critique using official NIH scoring rubric (1-9 scale), identifies weaknesses, provides actionable revision recommendations, and produces a comprehensive review summary similar to actual NIH Summary Statement.

Execute use when you need to work with backup and recovery. This skill provides backup automation and disaster recovery with comprehensive guidance and automation. Trigger with phrases like "create backups", "automate backups", or "implement disaster recovery".

Execute comprehensive load and stress testing to validate API performance and scalability. Use when validating API performance under load. Trigger with phrases like "load test the API", "stress test API", or "benchmark API performance".

Generate concise summaries of source code at multiple scales. Use when users ask to summarize, explain, or understand code - whether it's a single function, a class, a module, or an entire codebase. Handles function-level code by explaining intention and core logic, and large codebases by providing high-level overviews with drill-down capabilities for specific modules.

Performs abstract interpretation to produce summarized execution traces and high-level program behavior representations. Highlights key control flow paths, variable relationships, loop invariants, function summaries, and potential runtime states using abstract domains (intervals, signs, nullness, etc.). Use when analyzing program behavior, understanding execution paths, computing loop invariants, tracking variable ranges, detecting potential runtime errors, or generating program summaries without concrete execution.

Demonstrates Living-off-the-Land (LotL) techniques using native OS tools to simulate realistic threat actor behavior during authorized penetration tests. Use when proving attack feasibility without custom malware, testing detection coverage, and validating what a real adversary could achieve with only built-in system capabilities.