Total 50,539 skills, AI & Machine Learning has 8483 skills
Showing 12 of 8483 skills
Version-controlled evolution engine that uses accumulated insight results to evolve soul profiles and workflow recipes with auditability, safety constraints, and rollbacks.
Meta-skill that teaches the Agent how to discover, select, execute, chain, and observe skills in the skill system. Load this skill when you need to: (1) find which skill can handle a capability, (2) execute a skill operation via its entrypoint, (3) chain multiple skill operations together, (4) check policy before executing, or (5) log skill execution for observability. This skill makes YOU the router — you decide what to run, in what order, based on context.
Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image with Gemini", "Gemini text generation", or needs vision-capable AI generation.
Optimize Claude Code prompts for Opus 4.6, Sonnet 4.5, and Haiku 4.5 with model-aware reasoning settings, context control, safe tool use, and concise output shaping.
ElevenLabs voice agent creation for client discovery and feedback calls. Use this skill when creating AI voice agents, setting up discovery call agents, or configuring automated phone conversations. Triggers on voice agent creation, ElevenLabs agent setup, or automated call agent requests.
Control OpenCode directly via the Agent Client Protocol (ACP). Start sessions, send prompts, resume conversations, and manage OpenCode updates.
Core DSPy framework guidance — signatures, modules, programs, compilation, and testing. Use when creating DSPy signatures, building modules, compiling programs, or learning DSPy fundamentals.
You must use this when seeking cross-domain analogies, applying first-principles reasoning, or overcoming creative bottlenecks.
This skill should be used when setting up or running the Ralph autonomous coding loop that iterates through stories, runs tests, commits, and logs learnings.
Interactive tutorial teaching Snowflake Cortex CLASSIFY_TEXT for categorizing unstructured text. Guide users through classifying customer reviews using Python and SQL. Use when user wants to learn text classification, Cortex LLM functions, or analyze unstructured feedback data.
Team composition knowledge for Claude Code Agent Teams - when to suggest teams, optimal sizing, spawn prompt patterns
Uses a local model to describe something about an image