Loading...
Loading...
Found 9,680 Skills
Use when starting any Deno project, choosing packages, configuring deno.json, or running CLI commands. Provides foundational knowledge for building modern Deno applications.
Shared Go best practices for LlamaFarm CLI. Covers idiomatic patterns, error handling, and testing.
Run when the user asks for a review; use git CLI to list staged and unstaged changes, read GUIDELINES.md in this skill folder, produce a fix list, and offer to apply fixes after confirmation.
Promise-based HTTP client for making requests from browser and Node.js
Use when creating new Bun packages from zenobi-us/bun-module template - automates repo creation, cloning, and setup using GitHub CLI; note setup.sh runs non-interactively with defaults requiring manual package.json updates
This skill should be used when the user asks about "Server Components", "Client Components", "'use client' directive", "when to use server vs client", "RSC patterns", "component composition", "data fetching in components", or needs guidance on React Server Components architecture in Next.js.
View Jira ticket details using the jira CLI (jira-cli). Use when given a Jira issue key to fetch and display ticket information.
WeChat Official Account Title Optimization Expert, dedicated to optimizing titles for content creators in the tech/efficiency tool niche. Use this skill when you need to optimize WeChat Official Account article titles, increase article click-through rates, diagnose title issues, or seek inspiration for viral titles. Supports technical hotword protection, multi-dimensional optimization analysis, and scenario-based title recommendations.
This skill should be used when working with the Nostr protocol, implementing Nostr clients or relays, handling Nostr events, or discussing Nostr Implementation Possibilities (NIPs). Provides comprehensive knowledge of Nostr's decentralized protocol, event structure, cryptographic operations, and all standard NIPs.
Catalog GitHub starred repositories into a structured Obsidian vault with AI-synthesized summaries, normalized topic taxonomy, graph-optimized wikilinks, and Obsidian Bases (.base) index files for filtered views. Fetches repo metadata and READMEs via gh CLI, classifies repos into categories and normalized topics, generates individual repo notes with frontmatter, and creates hub notes for categories/topics/authors that serve as graph-view connection points. Use this skill when users want to: (1) Catalog or index their GitHub stars into Obsidian (2) Create a searchable knowledge base from starred repos (3) Organize and discover patterns in their GitHub stars (4) Export GitHub stars as structured markdown notes (5) Build a graph of starred repos by topic, language, or author For saving/distilling a specific URL to a note, use kcap instead. For browsing AI tweets, use ai-twitter-radar instead.
Use when given a Sentry issue URL and you need to fetch exception details, stacktrace, and request context using sentry-cli (and Sentry API fallback when needed).
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.