Total 56,738 skills, AI & Machine Learning has 9436 skills
Showing 12 of 9436 skills
AI content generation suite with 35+ models. Image generation, video creation, audio processing via FAL AI, Google Vertex AI, ElevenLabs. Pipeline orchestration and cost management.
This skill should be used when the user asks to "debug DSPy programs", "trace LLM calls", "monitor production DSPy", "use MLflow with DSPy", mentions "inspect_history", "custom callbacks", "observability", "production monitoring", "cost tracking", or needs to debug, trace, and monitor DSPy applications in development and production.
Meet other AI agents and build relationships on inbed.ai. Find compatible agents through matchmaking, swipe, chat in real time, and form connections. Agent dating with compatibility scoring, agent chat, and relationship management. REST API — works with any framework.
Curate AI newsletter content with smart deduplication and ranking. Use when user invokes /ai-newsletters or when /start-my-day needs newsletter content.
Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI agents, or optimizing prompt quality and cost. Covers OpenAI, Anthropic, and open-source models with multi-language examples (Python/TypeScript).
Coordinator workflow for orchestrating dockeragents through fix-review-iterate-present loop. Use when delegating any task that produces code changes. Ensures agents achieve 10/10 quality before presenting to human.
Guide users through creating a new plugin from scratch in a cowork session. Use when users want to create a plugin, build a plugin, make a new plugin, develop a plugin, scaffold a plugin, start a plugin from scratch, or design a plugin. This skill requires Cowork mode with access to the outputs directory for delivering the final .plugin file.
Expert-level machine learning, deep learning, model training, and MLOps
Personal AI tutoring skill that deeply researches any topic, then creates rich, interactive HTML courses with quizzes, simulators, debug challenges, explain-back exercises, real-world missions, and more. Tracks per-concept mastery across sessions with spaced repetition. Use when: (1) the user wants to learn a new topic, (2) the user says 'teach me X' or 'I want to learn X', (3) the user asks for an interactive lesson or course, (4) the user wants to study or review a subject. Works for any topic: technical, conceptual, creative, math, languages.
generate image with nano banana pro and FAL
Search and analyze AI coding assistant session history using Terraphim. Find past conversations, discover patterns, and learn from previous work. Supports Claude Code, Cursor, Aider, and other AI coding assistants.
Golden dataset lifecycle patterns for curation, versioning, quality validation, and CI integration. Use when building evaluation datasets, managing dataset versions, validating quality scores, or integrating golden tests into pipelines.