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Found 5,560 Skills
Storybook 10 testing patterns with Vitest integration, ESM-only distribution, CSF3 typesafe factories, play() interaction tests, Chromatic TurboSnap visual regression, module automocking, accessibility addon testing, and autodocs generation. Use when writing component stories, setting up visual regression testing, configuring Storybook CI pipelines, or migrating from Storybook 9.
End-to-end testing patterns with Playwright — page objects, AI agent testing, visual regression, accessibility testing with axe-core, and CI integration. Use when writing E2E tests, setting up Playwright, implementing visual regression, or testing accessibility.
Design Azure infrastructure using natural language, or analyze existing Azure resources to auto-generate architecture diagrams, refine them through conversation, and deploy with Bicep. When to use this skill: - "Create X on Azure", "Set up a RAG architecture" (new design) - "Analyze my current Azure infrastructure", "Draw a diagram for rg-xxx" (existing analysis) - "Foundry is slow", "I want to reduce costs", "Strengthen security" (natural language modification) - Azure resource deployment, Bicep template generation, IaC code generation - Microsoft Foundry, AI Search, OpenAI, Fabric, ADLS Gen2, Databricks, and all Azure services
Send text messages to specified contacts via the WeChat desktop client on macOS. Used when the user provides a contact name and message content, such as "Send a WeChat message to Zhang San: xxx", "Open WeChat to send a message to someone", "Send specified text via WeChat". The WeChat desktop client must be installed before running, and accessibility permissions must be granted to the current terminal or Codex. Only exact matching is performed during execution: first search for the contact, then verify that the current session title exactly matches the target; stop if the match fails to avoid sending messages by mistake.
Implements Syncfusion .NET MAUI Chips (SfChip or SfChipGroup). Use when working with chips, tags, tag controls, selection chips, input chips, or filter chips in .NET MAUI applications. Covers chip types, chip customization, chip events, chip selection, chip groups, remove chips, close button chips, and chip data binding.
Execute a comprehensive, framework-agnostic Security Audit. Detects project type at runtime and adapts security checks accordingly. Analyzes sensitive files, source code secrets, dependency vulnerabilities, and optionally uses Gemini AI for advanced analysis. Produces a severity-classified report. Use when the user asks to audit security, scan for vulnerabilities, check for secrets, or assess dependency risks. Triggers on: 'security audit', 'vulnerability scan', 'secret scan', 'dependency audit', 'security check', 'pentest', 'owasp'.
Comprehensive security scanning and vulnerability detection. Includes input validation, path traversal prevention, CVE detection, and secure coding pattern enforcement. Use when: authentication implementation, authorization logic, payment processing, user data handling, API endpoint creation, file upload handling, database queries, external API integration. Skip when: read-only operations on public data, internal development tooling, static documentation, styling changes.
Scans code for security vulnerabilities including injection attacks, authentication flaws, exposed secrets, insecure dependencies, and data exposure. Use when the user says "security review", "is this secure?", "check for vulnerabilities", "audit this", or before deploying to production.
Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.
This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics, and other single-cell modalities. Use this skill for probabilistic modeling, batch correction, dimensionality reduction, differential expression, cell type annotation, multimodal integration, and spatial analysis tasks.
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.