Total 54,172 skills, AI & Machine Learning has 9012 skills
Showing 12 of 9012 skills
Wide before deep. Fans out N parallel divergent thoughts under structurally different cognitive frames (regulator, biology, speedrunner, 10 year old, $0 budget), then scores, clusters, prunes traps, and deepens only the top survivors. The isolated parallel branches and the separated generator/critic phases are load-bearing. Do not collapse them into a single linear thought. Use when the user asks to brainstorm, ideate, generate options, design an architecture, name something, pick between approaches, plan a refactor, design an API or SDK surface, generate hypothesis classes for a fuzzy bug, or any prompt of the shape "give me a few ways to". Also use when the obvious answer feels obvious and wrong, or when the user explicitly invokes /adhd or asks for "ADHD mode".
Execute workflow agents iteratively for refinement and progressive improvement until quality criteria are met. Use when tasks require repetitive refinement, multi-iteration improvements, progressive optimization, or feedback loops until convergence.
Add x402 payment execution to AI agents — per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.
Eino framework overview, concepts, and navigation. Use when a user asks general questions about Eino, needs help getting started, wants to understand the architecture, or is unsure which Eino skill to use. Eino is a Go framework for building LLM applications with components, orchestration graphs, and an agent development kit.
Api4ai integration. Manage Leads, Persons, Organizations, Deals, Projects, Pipelines and more. Use when the user wants to interact with Api4ai data.
Answers AI agent evaluation methodology questions with practical, opinionated guidance grounded primarily in Microsoft's agent evaluation ecosystem (MS Learn, Eval Scenario Library, Triage & Improvement Playbook, Eval Guidance Kit) supplemented by select industry sources.
Karpathy-inspired autonomous research loop. Agent edits one file, evals, keeps or discards, repeats. Plateau-triggered web search breaks through ceilings. Git as state machine. Runs until stopped or budget exhausted.
Vi — HR Specialist and Execution Orchestrator for MEL/SRHR work. Receives an approved plan from Ann (or directly from Ane), designs the specialist roster, spawns specialists as subagents, reviews their outputs, compiles the final product, and returns it. General-purpose — invoked by Ann via Agent tool, or directly by Ane when a plan is already approved.
Launch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation
Complete reference for integrating with 300+ AI models through the OpenRouter TypeScript SDK using the callModel pattern
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed.