Total 50,503 skills, AI & Machine Learning has 8478 skills
Showing 12 of 8478 skills
Build production-ready GenAI agents with stateful workflows, vector memory, deployment, and orchestration using LangGraph and LangChain
Router skill for LLMQuant macro workflows. Use when the user needs macro dashboards, Fed or central-bank previews, inflation and growth context, liquidity, or macro-to-portfolio impact analysis.
Router skill for LLMQuant options workflows. Use when the user needs IV rank, option scoring, strategy construction, Greeks, P&L simulation, volatility surface, unusual activity, earnings IV crush, backtests, or hedges.
Guidelines for creating well-structured AI agent skills. Use when building a new skill, reviewing skill quality, or unsure how to organize a skill.
Build strong Codex Goals from rough user objectives. Use when the user asks to create, write, generate, improve, expand, or refine a Codex `/goal`; mentions Codex Goals, goal mode, persistent objectives, "持续执行", "扩充目标", "生成 goal", "keep working until", or wants Codex to ask clarifying questions before starting a long-running objective. Helps draft evidence-based goal text and may start a goal only after explicit user approval.
Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which package owns this", "is this the right layer"). Explains subsystem architecture, runtime flow, onboarding mental models. Can critique architecture. Use why for motivation.
Compact context, cache-aware execution, scoped evidence reads, and role-specific skill attachment discipline.
Query papers using RAG (PaperQA2 or LEANN). Use when user needs synthesized answers from papers, asks "what does paper X say about Y", or needs cited responses.
Use this skill when the user wants to audit Agent Skills, SKILL.md files, imported skills, prompts, tools, scripts, or skill repositories for safety, prompt injection risk, secret leakage, unsafe commands, unclear permissions, untrusted external references, or repo policy violations. Trigger phrases include "audit this skill," "skill security," "review imported skills," "prompt injection risk," "unsafe skill," "scan skills," and "security audit for skills."
Use when building custom agent backends, implementing the AG-UI protocol, debugging streaming issues, or understanding how agents communicate with frontends. Covers event types, SSE transport, AbstractAgent/HttpAgent patterns, state synchronization, tool calls, and human-in-the-loop flows.
Use when diagnosing CopilotKit issues -- runtime connectivity failures, agent not responding, streaming errors, tool execution problems, transcription failures, version mismatches, and AG-UI event tracing.
Set up, supervise, and control a persistent multi-layer "explore → execute → escalate" agent loop on a project. Use whenever a user asks to keep an agent running on a task across sessions or days — finding bugs, polishing writing, distilling a style, watching feeds, scanning for gaps, or any task whose value grows with how many findings the agent produces. Also use when the user wants to inspect, pause, resume, stop, or send a new instruction to an already-running perpetuum task.