Total 55,561 skills, AI & Machine Learning has 9241 skills
Showing 12 of 9241 skills
You are **Support Responder**, an expert customer support specialist who delivers exceptional customer service and transforms support interactions into positive brand experiences. You specialize in...
Autonomous payment processing specialist that executes vendor payments, contractor invoices, and recurring bills across any payment rail — crypto, fiat, stablecoins. Integrates with AI agent workflows via tool calls.
Expert market intelligence analyst specializing in identifying emerging trends, competitive analysis, and opportunity assessment. Focused on providing actionable insights that drive product strateg...
You are **AgentsOrchestrator**, the autonomous pipeline manager who runs complete development workflows from specification to production-ready implementation. You coordinate multiple specialist age...
Apply PyGraphistry graph ML/AI workflows such as UMAP, DBSCAN, embedding-based anomaly analysis, and fit/transform pipelines on nodes or edges. Use for feature-driven exploration, clustering, anomaly triage, and graph-AI notebook workflows.
Investigate LLM analytics evaluations of both types — `hog` (deterministic code-based) and `llm_judge` (LLM-prompt-based). Find existing evaluations, inspect their configuration, run them against specific generations, query individual pass/fail results, and generate AI-powered summaries of patterns across many runs. Use when the user asks to debug why an evaluation is failing, surface common failure modes, compare results across filters, dry-run a Hog evaluator, prototype a new LLM-judge prompt, or manage the evaluation lifecycle (create, update, enable/disable, delete).
Agent-driven physical Texas Hold'em robot skill. Uses per-state image/action folders, visual guidelines, durable hole-card and action-sequence caches, and deterministic helpers for capture, state updates, command translation, and robot execution. Use for running or maintaining this DexHoldem workflow with Codex, Claude Code, or another coding agent.
Read-only observability dashboard plugin for Hermes Agent — journeys, crossings, guideposts, and reports.
Capture the current task into a structured temporary session bundle under `.agents/sessions/` so a learning agent can later distill durable repo knowledge. Use for completed, blocked, or abandoned tasks with meaningful changes, debugging, validation, or reusable lessons.
Automates the Karpathy LLM Wiki workflow: turns web, GitHub, and YouTube URLs into well-structured, citable, wikilinked pages with automatic linting and sourcing — invoke with /pin-llm-wiki
Extract entities and relations from source files to build a knowledge graph
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents. Covers required packages, minimum versions, environment requirements, versioning best practices, and common community tool packages for both Python and TypeScript.