agent

通过 Tavily CLI 进行网页搜索、内容提取、抓取和深度研究。当用户需要搜索网页、查找文章、研究主题、在线查询、从 URL 提取内容、获取网页文本、抓取文档、下载网站页面、发现域名上的 URL 或进行带引用的深入研究时使用此技能。当用户说"获取此页面"、"拉取内容从"、"获取 https:// 页面"、"帮我找关于...的文章"或提及从外部网站提取数据时也使用。这提供 LLM 优化的网页搜索、内容提取、站点抓取、URL 发现和 AI 驱动的深度研究——超越智能体原生能力的功能。请勿在本地文件操作、git 命令、部署或代码编辑任务时触发。

Darwin Skill (达尔文.skill)：受 Karpathy 的 autoresearch 启发的自主技能优化器。使用 8 维度评估标准（结构 +…）评估 SKILL.md 文件

Redis performance optimization and best practices. Use this skill when working with Redis data structures, Redis Query Engine (RQE), vector search with…

为 NeurIPS、ICML、ICLR、ACL、AAAI、COLM 撰写达到发表标准的 ML/AI 论文。适用于基于研究仓库起草论文、组织论证结构、验证…

Comprehensive Tailwind CSS v4 documentation snapshot and workflow guidance. Use when answering Tailwind v4 questions, selecting utilities/variants, configuring…

Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG applications), or combined approaches. Also use when users need text containment, substring matching ('contains', 'includes', 'appears in'), case-insensitive or multi-field text search, or filtering across many fields with variable combinations. Provides workflows for selecting the right search type, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.

Optimize for search engine visibility, ranking, and AI citations. Use when asked to improve SEO, optimize for search, fix meta tags, add structured data, or…

Neural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation. Use when: pattern learning, model optimization, knowledge transfer, adaptive routing. Skip when: simple tasks, no learning required, one-off operations.

Creates root documentation files (AGENTS.md, CLAUDE.md, docs/README.md, standards, principles). Use for initial project doc setup.

Generate publication-quality LaTeX tables from experimental results. Convert JSON/CSV data to booktabs-styled tables with bold best results, multi-row layouts,…

Analyzes Story and builds optimal task plan (1-8 tasks), then routes to create or replan. Use when Story needs task breakdown or replanning.

Drives a Story through full pipeline (tasks, validation, execution, quality). Use when executing a Story end-to-end from kanban board.

Use when coordinating story quality evaluation with mandatory research, worker summaries, agent review, regression evidence, and bounded refinement.

Write ML experiment code with iterative improvement. Generate training/evaluation pipelines, debug errors, and optimize results through code reflection. Use…

GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT. Use whenever the user…

Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and…

Run and analyze molecular dynamics simulations with OpenMM and MDAnalysis. Set up protein/small molecule systems, define force fields, run energy minimization…

High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent…

IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization…

High-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames. Overlap, nearest, merge, coverage, complement, subtract for…