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Found 468 Skills
Google Cloud Platform CLI (gcloud, gcloud storage, bq). Use when: managing GCP resources, deploying to Cloud Run/Cloud Functions/GKE/App Engine, working with Cloud Storage, BigQuery, IAM, Compute Engine, Cloud SQL, Pub/Sub, Secret Manager, Artifact Registry, Cloud Build, Cloud Scheduler, Cloud Tasks, Vertex AI, VPC/networking, DNS, logging/monitoring, or any GCP service. Also covers: authentication, project/config management, CI/CD integration, serverless deployments, container registry, docker push to GCP, managing secrets, Workload Identity Federation, and infrastructure automation.
Draft professional legal client alerts and publications that inform clients about significant legal developments. Use when asked to: write a client alert, draft a legal update, create a publication about new legislation/regulations/case law, or prepare a legal briefing for clients. Supports all practice areas including corporate, litigation, regulatory, employment, tax, IP, and more. Output available as Word (.docx) or Markdown (.md).
Parallel development with git worktrees and Claude Code agents. Handles Ghostty terminal launching, port allocation, and global registry. Use when creating worktrees, managing parallel development, or launching agents in isolated workspaces.
Form UX patterns, field types, multi-step wizards, and layout. Use when building forms, registration flows, or any data collection interfaces.
Convert mixed-format datasheets and hardware reference files (PDF, DOCX, HTML, Markdown, XLSX/CSV) into normalized Markdown knowledge files for AI coding agents. Use when a user asks to ingest datasheets, register maps, pinout/timing sheets, revision histories, or internal hardware notes before searching datasheet content or generating code. Produce RAG-ready section chunks, anchors, image references, and metadata under .context/knowledge.
Expert blueprint for FPS/TPS shooter games (Call of Duty, Counter-Strike, Apex Legends, Fortnite) covering weapon systems, recoil patterns, hitscan vs projectile, aim assist, multiplayer prediction, and gunplay feel. Use when building competitive shooters, battle royales, or tactical FPS games requiring responsive combat. Keywords hitscan, recoil pattern, aim assist, client prediction, weapon archetype, projectile physics, hit registration.
Search the USPTO trademark database to check name availability and get registration details. Use when the user wants to check if a name is trademarked, research trademark availability, or look up registration status. No API key required.
AI-driven patient-to-trial matching for precision medicine and oncology. Given a patient profile (disease, molecular alterations, stage, prior treatments), discovers and ranks clinical trials from ClinicalTrials.gov using multi-dimensional matching across molecular eligibility, clinical criteria, drug-biomarker alignment, evidence strength, and geographic feasibility. Produces a quantitative Trial Match Score (0-100) per trial with tiered recommendations and a comprehensive markdown report. Use when oncologists, molecular tumor boards, or patients ask about clinical trial options for specific cancer types, biomarker profiles, or post-progression scenarios.
Provide comprehensive clinical interpretation of somatic mutations in cancer. Given a gene symbol + variant (e.g., EGFR L858R, BRAF V600E) and optional cancer type, performs multi-database analysis covering clinical evidence (CIViC), mutation prevalence (cBioPortal), therapeutic associations (OpenTargets, ChEMBL, FDA), resistance mechanisms, clinical trials, prognostic impact, and pathway context. Generates an evidence-graded markdown report with actionable recommendations for precision oncology. Use when oncologists, molecular tumor boards, or researchers ask about treatment options for specific cancer mutations, resistance mechanisms, or clinical trial matching.
Predict patient response to immune checkpoint inhibitors (ICIs) using multi-biomarker integration. Given a cancer type, somatic mutations, and optional biomarkers (TMB, PD-L1, MSI status), performs systematic analysis across 11 phases covering TMB classification, neoantigen burden estimation, MSI/MMR assessment, PD-L1 evaluation, immune microenvironment profiling, mutation-based resistance/sensitivity prediction, clinical evidence retrieval, and multi-biomarker score integration. Generates a quantitative ICI Response Score (0-100), response likelihood tier, specific ICI drug recommendations with evidence, resistance risk factors, and a monitoring plan. Use when oncologists ask about immunotherapy eligibility, checkpoint inhibitor selection, or biomarker-guided ICI treatment decisions.
Perform statistical modeling and regression analysis on biomedical datasets. Supports linear regression, logistic regression (binary/ordinal/multinomial), mixed-effects models, Cox proportional hazards survival analysis, Kaplan-Meier estimation, and comprehensive model diagnostics. Extracts odds ratios, hazard ratios, confidence intervals, p-values, and effect sizes. Designed to solve BixBench statistical reasoning questions involving clinical/experimental data. Use when asked to fit regression models, compute odds ratios, perform survival analysis, run statistical tests, or interpret model coefficients from provided data.
Type-safe, file-based React routing with route loaders, search params validation, code splitting, preloading, navigation, route context, and TanStack Query integration. Use when setting up file-based routing, adding search params validation, implementing route loaders, code splitting routes, configuring virtual file routes, protecting routes with auth guards, or fixing type registration errors. Use for router setup, navigation patterns, URL state management, data loading.