Total 54,019 skills, AI & Machine Learning has 8981 skills
Showing 12 of 8981 skills
Write dense storyboard-grid prompts for short-form image or previsualization workflows. Use this when a generation controller needs a 6-9 panel grid with hook logic, visible actions, product timing, and negative constraints before image or video request architecture.
Viral fake "ESPN behind-home-plate broadcast cutaway" of a user — broadcast-style still + 15s Kling-omni clip with native two-announcer commentary that names the user. Fixed trend: Yankees vs Red Sox ALCS Game 3 at Fenway Park, premium seats, scorebug + chyron with the user's name. Triggers: "make me a behind-home-plate cutaway", "fake MLB broadcast of me", "AI ESPN baseball crowd shot", "viral MLB broadcast trend", "Yankees Red Sox cutaway with me". Needs the user's name + one reference photo.
Operational guide for enabling Megatron FSDP in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.
Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.
Converts Claude skills into ChatGPT Project format (prompt instructions + 1 knowledge file as .docx). Use when user mentions "convert to ChatGPT," "ChatGPT project," "export skill," "GPT instructions," "skill to prompt," or "skill to GPT."
Reusable pattern for presenting the user with explicit choices and gating execution until they respond. Used by other skills when a decision point requires human input before proceeding. Platform-agnostic — works on Telegram (inline buttons), Discord, CLI, or any agent with a message tool.
Quickly creates new Claude Code skills or translates ChatGPT projects into Claude Code skills. Handles skill scaffolding, frontmatter, directory structure, and ChatGPT-to-Claude migration. Use when the user wants to 'create a skill,' 'make a new slash command,' 'convert a ChatGPT project,' 'translate a GPT to Claude,' or 'migrate prompts to Claude Code.' For full eval/testing/benchmarking workflows, use skill-creator instead.
Compress an agent's routing file (RESOLVER.md or AGENTS.md) by converting granular skill-per-row tables into functional-area dispatchers. Each area lists sub-skills in a "(dispatcher for: ...)" clause. The LLM reads one area entry and routes to the correct sub-skill. Proven via held-out A/B eval: dispatcher pattern outperforms naive pipe-table compression.
Building & extending Pi — authoring TypeScript extensions (ExtensionAPI, registerTool, registerProvider, /commands, UI hooks), publishing as npm/git packages (pi-package), embedding via JSON-RPC mode (--mode rpc/json, JSONL framing, AgentSession SDK), and developing inside the pi_agent_rust repo. Use for any "how do I build a Pi extension/package/SDK client" question.
Build agentic UIs using AG-UI protocol with Pydantic AI (Python backend) and CopilotKit (React/Next.js frontend). Use when creating AI-powered applications that need bidirectional agent-UI communication, shared state between frontend and backend, human-in-the-loop workflows, tool-based generative UI, or predictive state updates. Triggers on requests involving CopilotKit hooks (useCoAgent, useCopilotAction, useCoAgentStateRender), pydantic_ai with ag_ui adapters, or building chat interfaces with backend AI agents.
Local MCP memory server for AI coding assistants with verbatim recall, semantic search, and automatic session capture
Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.