Loading...
Loading...
Found 5,841 Skills
.NET MAUI Shell navigation guidance — Shell visual hierarchy, AppShell setup, tab bars, flyout menus, URI-based navigation with GoToAsync, route registration, query parameters, back navigation, and navigation events. Use when building or modifying Shell-based MAUI apps, adding pages/routes, configuring tabs or flyout, or implementing navigation with data passing.
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.
Lambda Layer Creator - Auto-activating skill for AWS Skills. Triggers on: lambda layer creator, lambda layer creator Part of the AWS Skills skill category.
Force critical evaluation of proposals, requirements, or decisions by analyzing from multiple adversarial perspectives. Triggers on: accepting a proposal without pushback, 'sounds good', 'let's go with', design decisions with unstated tradeoffs, unchallenged assumptions, premature consensus. Invoke with /challenge-that.
Comprehensive patient stratification for precision medicine by integrating genomic, clinical, and therapeutic data. Given a disease/condition, genomic data (germline variants, somatic mutations, expression), and optional clinical parameters, performs multi-phase analysis across 9 phases covering disease disambiguation, genetic risk assessment, disease-specific molecular stratification, pharmacogenomic profiling, comorbidity/DDI risk, pathway analysis, clinical evidence and guideline mapping, clinical trial matching, and integrated outcome prediction. Generates a quantitative Precision Medicine Risk Score (0-100) with risk tier assignment (Low/Intermediate/High/Very High), treatment algorithm (1st/2nd/3rd line), pharmacogenomic guidance, clinical trial matches, and monitoring plan. Use when clinicians ask about patient risk stratification, treatment selection, prognosis prediction, or personalized therapeutic strategy across cancer, metabolic, cardiovascular, neurological, or rare diseases.
Comprehensive computational validation of drug targets for early-stage drug discovery. Evaluates targets across 10 dimensions (disambiguation, disease association, druggability, chemical matter, clinical precedent, safety, pathway context, validation evidence, structural insights, validation roadmap) using 60+ ToolUniverse tools. Produces a quantitative Target Validation Score (0-100) with GO/NO-GO recommendation. Use when users ask about target validation, druggability assessment, target prioritization, or "is X a good drug target for Y?"
Query Web3 blockchain data from Moralis API. Use when user asks about wallet data (balances, tokens, NFTs, transaction history, profitability, net worth), token data (prices, metadata, DEX pairs, analytics, security scores), NFT data (metadata, transfers, traits, rarity, floor prices), DeFi positions, entity/label data for exchanges and funds, or block and transaction data. Supports EVM chains (Ethereum, Polygon, BSC, Arbitrum, Base, Optimism, Avalanche, etc.) and Solana. NOT for real-time streaming - use moralis-streams-api instead.
How to write well-structured Basic Memory notes: frontmatter, observations with semantic categories, relations with wiki-links, and best practices for building a rich knowledge graph. Use when creating or improving notes.
Complete 9-step Clay enrichment workflow for 90%+ data coverage plus 58 Clay templates across 8 categories. Use when building enrichment workflows, setting up Clay tables, or maximizing data quality.
Social media and web scraping using Apify actors. Use this skill when scraping Twitter/X tweets, Reddit posts, LinkedIn posts, Instagram profiles/posts/reels, Facebook pages/posts/groups, TikTok videos, YouTube content, Google Maps businesses/reviews, contact enrichment (emails/phones from websites), or when auto-detecting URL type to scrape. Triggers on requests to scrape social media, get trending posts, extract business info, find contact details, or extract content from social URLs.
Automates architecture validation for Clean Architecture, Hexagonal, Layered, and MVC patterns. Detects layer boundary violations, dependency rule breaches, and architectural anti-patterns. Use when asked to "validate architecture", "check layer boundaries", "architectural review", before major refactoring, or as pre-commit quality gate. Adapts to project's architectural style by reading ARCHITECTURE.md.
Use when working with Maven build phases, goals, profiles, or customizing the build process for Java projects.