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Found 5,157 Skills
Instructions for using the ModelMix Node.js library to interact with multiple AI LLM providers through a unified interface. Use when integrating AI models (OpenAI, Anthropic, Google, Groq, Perplexity, Grok, etc.), chaining models with fallback, getting structured JSON from LLMs, adding MCP tools, streaming responses, or managing multi-provider AI workflows in Node.js.
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.
Create new UI elements for tryelements.dev registry. Use when: (1) Adding new UI components (buttons, inputs, cards), (2) Building integration components (Clerk, Stripe, Uploadthing), (3) Creating theme-related elements, (4) Any shadcn-style registry component. IMPORTANT: For logo components with variants (icon/wordmark/logo + dark/light), use the logo-with-variants skill instead. This skill includes scaffolding, registry schema, and component patterns. ALWAYS use Context7 MCP to fetch latest dependency docs before implementing.
Create SEO-optimized deep dive articles for the Open Education Hub. This skill combines proprietary OpenEd insights (podcasts, Slack, newsletters) with SEO-structured headers to create authoritative, non-generic content on homeschooling topics. Use when writing curriculum guides, pedagogical method explainers, grade-level guides, or state-specific homeschool content.
Design taxonomy structure for categories, tags, or hierarchical classification. Supports flat, hierarchical, and faceted patterns.
Generates dead code detection configurations for loom plan verification. Provides language-specific commands, fail patterns, and ignore patterns for Rust, TypeScript, Python, Go, and JavaScript. Use when adding code quality checks to acceptance criteria or truths fields in loom plans. Dead code detection catches incomplete wiring by identifying code that exists but is never called.
Prepare and execute deployments with pre-flight checks, release notes generation, and CI/CD integration. NEVER auto-deploy. Use when user explicitly says "deploy", "release", or "go live".
Deep dive into complex Deepgram migrations and provider transitions. Use when migrating from other transcription providers, planning large-scale migrations, or implementing phased rollout strategies. Trigger with phrases like "deepgram migration", "switch to deepgram", "migrate transcription", "deepgram from AWS", "deepgram from Google".
Design intuitive, meaningful interactions grounded in user goals and cognitive principles. Use when designing component behaviors, user flows, feedback systems, error handling, loading states, transitions, accessibility, keyboard navigation, touch/gesture interactions, or when evaluating interaction quality. Also use for modal vs modeless decisions, direct manipulation patterns, input device considerations, emotional/dramatic aspects of UX, or when asked about making interfaces feel responsive, humane, and goal-directed.
Sqs Queue Setup - Auto-activating skill for AWS Skills. Triggers on: sqs queue setup, sqs queue setup Part of the AWS Skills skill category.
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.
MetaSounds DSP specialist for Unreal Engine 5. Use when designing MetaSounds graphs, choosing DSP nodes, configuring filters/oscillators/envelopes, building signal chains, working with the Builder API, or creating audio templates. Covers 144 nodes across 20 categories.