Loading...
Loading...
Found 147 Skills
Build with OpenAI stateless APIs - Chat Completions (GPT-5.2, o3), Realtime voice, Batch API (50% savings), Embeddings, DALL-E 3, Whisper, and TTS. Prevents 16 documented errors. Use when: implementing GPT-5 chat, streaming, function calling, embeddings for RAG, or troubleshooting rate limits (429), API errors, TypeScript issues, model name errors.
CLI interface for Perplexity AI. Perform AI-powered searches, queries, and research directly from terminal. Use when user mentions Perplexity, AI search, web research, or needs to query AI models like GPT, Claude, Grok, Gemini. Commands: query.
MCP server for querying and analyzing Facebook Ads Library data with batch processing and AI-powered video/image analysis
Design and build LLM-powered projects from ideation through deployment. Use when starting new agent projects, choosing between LLM and traditional approaches, or structuring batch processing pipelines.
Convert addresses to coordinates (geocoding) and coordinates to addresses (reverse geocoding). Use for location data enrichment or address validation.
Converts Markdown files (.md, .markdown) to DOCX using the markdown-docx npm package. Supports single and batch conversions, automatically generates output filenames, and creates Microsoft Word documents from Markdown content.
Use when "Modal", "serverless GPU", "cloud GPU", "deploy ML model", or asking about "serverless containers", "GPU compute", "batch processing", "scheduled jobs", "autoscaling ML"
Upscale images using each::sense AI. Enhance resolution for web, print, large format displays, with options for face enhancement, noise reduction, and AI art optimization.
Build CLI scripts alongside MCP servers for terminal environments. File I/O, batch processing, caching, richer output formats. Templates for TypeScript scripts and SCRIPTS.md. Use when: MCP companion scripts, batch processing, saving results to files, CLI API wrappers. Troubleshoot: context too large, no file access, batch input.
Pueue job queue for long-running tasks on remote GPU workstations. TRIGGERS - run on bigblack, run on littleblack, queue job, long-running task, cache population, batch processing, GPU workstation.
This skill should be used when the user asks to "create scheduled job", "scheduled script", "cron job", "automation schedule", "recurring task", "batch processing", "nightly job", or any ServiceNow Scheduled Job development.
>