Total 44,228 skills, AI & Machine Learning has 7034 skills
Showing 12 of 7034 skills
Implementing providers for Beluga AI v2 registries. Use when creating LLM, embedding, vectorstore, voice, or any other provider.
Provides comprehensive guidance for Galileo AI design tool including AI-assisted design, component generation, and design automation. Use when the user asks about Galileo AI, needs to use AI for design, generate design components, or automate design workflows.
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.
Use when ML engineers need to identify symmetries in their data but don't know where to start. Invoke when user mentions data symmetry, invariance discovery, what transformations matter, or needs help recognizing patterns their model should respect. Works collaboratively through domain analysis, transformation testing, and physical constraint identification.
Scaffolds a new custom Tool class for the Agent Development Kit (ADK).
Create analytical archival summaries of AI conversations, capturing intellectual journeys, key insights, and technical logs. Use when archiving, saving, or documenting a chat session.
Extract project-specific coding rules and domain knowledge from existing codebase, generating markdown documentation for AI agents.
balancing accuracy with token efficiency.
Bridge between Claude Code and OpenAI Codex CLI - generates AGENTS.md from CLAUDE.md, provides Codex CLI execution helpers, and enables seamless interoperability between both tools
This skill should be used when the user asks to "create a DSPy signature", "define inputs and outputs", "design a signature", "use InputField or OutputField", "add type hints to DSPy", mentions "signature class", "type-safe DSPy", "Pydantic models in DSPy", or needs to define what a DSPy module should do with structured inputs and outputs.
Dynamic plugin enumeration and capability mapping with delegation priority and explicit routing announcements
Create production-ready skills from expert knowledge. Extracts domain expertise and system ontologies, uses scripts for deterministic work, loads knowledge progressively. Use when building skills that must work reliably in production.