Total 50,524 skills, AI & Machine Learning has 8481 skills
Showing 12 of 8481 skills
Query Pollinations text API with web-search models (gemini-search, perplexity-fast, nomnom, etc.). Use when you need web search grounded answers via Pollinations.
Triages GitHub issues by routing to oncall teams, applying labels, and closing questions. Use when processing new PyTorch issues or when asked to triage an issue.
In-depth analysis of AI papers, generating professional reading notes ready for direct publication
Генерация рекламных изображений через Gemini. Используй для создания креативов с текстом.
Conversational guidance for building software with AI agents, covering workflows, tool selection, prompt strategies, parallel agent management, and best practices based on real-world high-volume agentic development experience. Use this skill when users ask about setting up agentic workflows, choosing models, optimizing prompts, managing parallel agents, or improving agent output quality.
Use this skill to create investor pitch decks, partnership presentations, or business proposals. Triggers: "pitch deck", "investor deck", "fundraising presentation", "startup pitch", "investor presentation", "VC pitch", "seed deck", "series A deck", "business proposal", "partnership pitch", "sales deck", "demo day" Outputs: Structured slide content, talking points, and optional generated visuals.
Divide-and-conquer implementation from specs/plans. Decomposes a reference document into independent tasks, assigns each to a builder agent, executes in parallel waves respecting dependencies, then integrates results. Use when you have a spec, PRD, plan, or large feature to implement quickly with parallel execution.
This skill should be used when the user asks for "model council", "multi-model", "compare models", "ask multiple AIs", "consensus across models", "run on different models", or wants to get solutions from multiple AI providers (Claude, GPT, Gemini, Grok) and compare results. Orchestrates parallel execution across AI models/CLIs and synthesizes the best answer.
AI content generation with OpenAI and Claude, callAIWithPrompt usage, prompt storage in app_settings, structured outputs, response format validation, multi-criteria scoring, rate limiting, JSON schema, and AI API best practices. Use when generating content, creating prompts, scoring articles, or working with OpenAI/Claude APIs.
Configure and build Model Context Protocol (MCP) servers for Claude Code integration. Set up database, filesystem, git, and API connections. Build custom MCP servers with TypeScript/Python SDK, implement tools and resources, configure transports (stdio, HTTP), and deploy for production.
Fetches AI news from smol.ai RSS. Use when user asks about AI news or daily tech updates.
architecture design system planning structure pattern integration features