Total 51,184 skills
Showing 12 of 51184 skills
OpenAI API via curl. Use this skill for GPT chat completions, DALL-E image generation, Whisper audio transcription, embeddings, and text-to-speech.
Build a conversational AI assistant with memory and state. Use when you need a customer support chatbot, helpdesk bot, onboarding assistant, sales qualification bot, FAQ assistant, or any multi-turn conversational AI. Powered by DSPy for response quality and LangGraph for conversation state management.
Comprehensive Tailscale VPN setup, configuration, and management for mesh networking, secure access, and zero-trust infrastructure. Covers installation, CLI commands, subnet routers, exit nodes, Tailscale SSH, ACL/grants configuration, MagicDNS, Tailscale Serve/Funnel, API automation, and production deployment best practices.
[Utilities] Convert markdown files to PDF with custom styling. Use when generating PDF documents from markdown, creating printable documentation, or exporting reports.
BigQuery Expert Engineer Skill - Comprehensive guide for GoogleSQL queries, data management, performance optimization, and cost management Use when: - Running bq commands (query, load, extract) - Writing GoogleSQL queries (functions, JOINs, CTEs) - Designing partitioned/clustered tables - Using BigQuery ML or external data sources
Use this skill when you need to review and refactor code to make it simpler, more maintainable, and easier to understand. Helps with identifying overly complex solutions, unnecessary abstractions.
Build a go-to-market (GTM) strategy for launching a product or entering a new market. Use when planning how to reach customers, position your product, choose channels, set pricing, and execute launch. Covers market entry strategy, customer segmentation, positioning, channel strategy, and GTM execution plan. Trigger on "go-to-market", "GTM strategy", "market entry", "launch strategy", "how to reach customers", "GTM plan".
Write GitHub Actions workflows with proper syntax, reusable workflows, composite actions, matrix builds, caching, and security best practices. Use when creating CI/CD workflows for GitHub-hosted projects or automating GitHub repository tasks.
Implements search and filter interfaces for both frontend (React/TypeScript) and backend (Python) with debouncing, query management, and database integration. Use when adding search functionality, building filter UIs, implementing faceted search, or optimizing search performance.
Generate rich personality profiles from social media data exports (Twitter/X, LinkedIn, Instagram). Use when a user wants to analyze their social media presence, create a personality profile for AI personalization, understand their communication patterns, or extract insights from their digital footprint. Triggers on requests like "analyze my Twitter data", "create a personality profile", "what can you learn about me from my posts", "personalize an AI for me", or when users provide social media export files.
LLM and ML model deployment for inference. Use when serving models in production, building AI APIs, or optimizing inference. Covers vLLM (LLM serving), TensorRT-LLM (GPU optimization), Ollama (local), BentoML (ML deployment), Triton (multi-model), LangChain (orchestration), LlamaIndex (RAG), and streaming patterns.
Develops resources for FiveM using the ESX Framework (Legacy). Covers resource creation, Core Object (ESX), xPlayer functions, Events, Callbacks, Items, Jobs, Database (oxmysql), and best practices. Use when the user works with FiveM, ESX, ESX Legacy, or mentions `ESX.GetCoreObject`, `xPlayer`, `ESX.GetPlayerFromId`, or `esx:`.