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Found 369 Skills
Search UX, filter patterns, sort options, and empty states. Use when building search interfaces or filterable lists.
Guide for implementing configurable options for lint rules and assists. Use when rules need user-configurable behavior. Examples:<example>User wants to add options to a lint rule</example><example>User needs to implement JSON deserialization for rule config</example><example>User is testing rule behavior with different options</example>
Environment variables and parameters for running command line programs reliably in non-interactive environments (unattended). Includes silent modes, color/disable TTY, and reduced output options for 155 CLI tools.
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.
.NET test execution patterns and diagnostics. Use when running tests, analyzing test failures, or configuring test options.
Writing and authoring Quarto documents (.qmd), including code cell options, figure and table captions, cross-references, callout blocks (notes, warnings, tips), citations and bibliography, page layout and columns, Mermaid diagrams, YAML metadata configuration, and Quarto extensions. Also covers converting and migrating R Markdown (.Rmd), bookdown, blogdown, xaringan, and distill projects to Quarto, and creating Quarto websites, books, presentations, and reports.
Configures OrchestKit settings. Use when customizing MCP servers, plugin options, or preferences.
Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.
Guide product managers through creating an Opportunity Solution Tree (OST) by extracting target outcomes from stakeholder requests, generating opportunity options (problems to solve), mapping potentia
Validates JSON data against JSON Schema using the z-schema library. Use when the user needs to validate JSON, check data against a schema, handle validation errors, use custom format validators, work with JSON Schema drafts 04 through 2020-12, set up z-schema in a project, compile schemas with cross-references, resolve remote $ref, configure validation options, or inspect error details. Covers sync/async modes, safe error handling, schema pre-compilation, remote references, TypeScript types, and browser/UMD usage.
Use when making decisions under uncertainty with quantifiable outcomes, comparing risky options (investments, product bets, strategic choices), prioritizing projects by expected return, assessing whether to take a gamble, or when user mentions expected value, EV calculation, risk-adjusted return, probability-weighted outcomes, decision tree, or needs to choose between uncertain alternatives.