发现 Skills

Sla Monitor Setup - Auto-activating skill for Enterprise Workflows. Triggers on: sla monitor setup, sla monitor setup Part of the Enterprise Workflows skill category.

This skill enhances Claude's ability to conduct web research and translate findings into actionable GitHub issues. It automates the process of extracting key information from web search results and formatting it into a well-structured issue, ready for team action. Use this skill when you need to research a topic and create a corresponding GitHub issue for tracking, collaboration, and task management. Trigger this skill by requesting Claude to "research [topic] and create a ticket" or "find [information] and generate a GitHub issue".

Select, pair, and implement typefaces for web projects. Use when the user mentions "font pairing", "which typeface", "line height", "responsive typography", "web font loading", or "type hierarchy". Covers readability evaluation, CSS implementation, and performance optimization. For overall UI design systems, see refactoring-ui. For dramatic typographic experiences, see top-design. Trigger with 'web', 'typography'.

Generate and maintain GitHub Actions with Cascade assistance. Activate when users mention "github actions", "ci/cd pipeline", "workflow automation", "continuous integration", or "deployment pipeline". Handles CI/CD configuration with AI assistance. Use when working with windsurf cicd github actions functionality. Trigger with phrases like "windsurf cicd github actions", "windsurf actions", "windsurf".

PROACTIVE YAML INTELLIGENCE: Automatically activates when working with YAML files, configuration management, CI/CD pipelines, Kubernetes manifests, Docker Compose, or any YAML-based workflows. Provides intelligent validation, schema inference, linting, format conversion (JSON/TOML/XML), and structural transformations with deep understanding of YAML specifications and common anti-patterns.

Create publication-quality scientific diagrams, flowcharts, and schematics using Python (graphviz, matplotlib, schemdraw, networkx). Specialized in neural network architectures, system diagrams, and flowcharts. Generates SVG/EPS in figures/ folder with automated quality verification.

Expert guidance on SwiftNIO best practices, patterns, and implementation. Use when developers mention: (1) SwiftNIO, NIO, ByteBuffer, Channel, ChannelPipeline, ChannelHandler, EventLoop, NIOAsyncChannel, or NIOFileSystem, (2) EventLoopFuture, ServerBootstrap, or DatagramBootstrap, (3) TCP/UDP server or client implementation, (4) ByteToMessageDecoder or wire protocol codecs, (5) binary protocol parsing or serialization, (6) blocking the event loop issues.

Idiomatic Python 3.14+ development. Use when writing Python code, CLI tools, scripts, or services. Emphasizes stdlib, type hints, uv/ruff toolchain, and minimal dependencies.

Query Open Targets Platform for target-disease associations, drug target discovery, tractability/safety data, genetics/omics evidence, known drugs, for therapeutic target identification.

Create research posters using HTML/CSS that can be exported to PDF or PPTX. Use this skill ONLY when the user explicitly requests PowerPoint/PPTX poster format. For standard research posters, use latex-posters instead. This skill provides modern web-based poster design with responsive layouts and easy visual integration.

Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.

Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.

Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.

Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.

This skill provides patterns and templates for Java 21 Spring Boot 3.5.x WebFlux REST API development. It should be activated when creating controllers, services, repositories, DTOs, or reactive tests.

三点摘要：将输入文本提炼为三个要点。适用于：用户提供一段文字并要求总结、提炼要点、 生成摘要，或明确要求"三个要点""三点总结""bullet points"等场景。

This skill completely lacks a YAML frontmatter.

Deep-dive research and analysis using Codex. Use when the user asks "codex research", "codex 리서치", "codex 분석", "코덱스로 조사", "딥다이브", "이슈 분석해줘", wants Codex to investigate a topic, analyze a document, or provide a second opinion on technical questions. NOT for code review (use codex-review) or plan verification (use codex-verify).

撰写国家自然科学基金（NSFC）申请书，覆盖青年科学基金（C类）、优秀青年科学基金（B类）、国家杰出青年科学基金（A类）2026年度最新规范。提供分阶段写作工作流：基本信息、摘要、立项依据、研究内容、研究基础、个人简历、伦理与AI辅助声明等模块；内置文献检索策略与质量自查清单。工具中性，适配 Claude Code / Cursor / Codex / OpenClaw / Gemini CLI。触发词：国家自然科学基金、国自然、NSFC、青基、青年基金、优青、杰青、面上项目、natural science foundation of china、nsfc grant、青年科学基金申报

Patterns for organizing and structuring documentation including hierarchy, navigation, and information architecture.

Guidance for implementing Adaptive Rejection Sampling (ARS) algorithms. This skill should be used when implementing rejection sampling methods, log-concave distribution samplers, or statistical sampling algorithms that require envelope construction and adaptive updates. It provides procedural approaches, performance considerations, and verification strategies specific to ARS implementations.

Guidance for optimizing numerical linear algebra computations, particularly finding eigenvalues of small dense matrices faster than standard library implementations. This skill applies when the task involves performance optimization of matrix operations, beating numpy/scipy performance baselines, or writing high-performance numerical code with Cython/LAPACK.