1.8K skills · sorted by relevance
Save web pages as clean Markdown with source details such as title, author, and capture date. Chrome renders JavaScript content, while a wait mode lets you finish logging in or loading content before capture.
Use JavaScript through Figma's Plugin API to inspect file structure and edit design elements, components, variables, and layouts. Follow incremental steps with font loading, returned element IDs, and visual checks to validate changes.
Review Python, JavaScript/TypeScript, and Go code against security guidance for the languages and frameworks in use. Identify important weaknesses, suggest improvements, and produce prioritized reports with code references, or apply secure defaults when writing new code.
Build JavaScript or TypeScript apps that interact with NEAR. This skill guides token transfers, smart contract calls, account and key management, transaction signing, and message authentication through near-api-js v7 examples.
Set up JavaScript and TypeScript projects using Anthony Fu’s conventions for code organization, development tools, and package publishing. Establish shared checks for formatting, types, unused code, and tests before committing changes.
Extract data from websites or saved HTML using a suitable fetching method for each page. The skill generates and runs scripts for static pages, form-based logins, JavaScript rendering, and sites with Cloudflare or WAF protection.
Write JavaScript for actions/github-script@v8 in GitHub Actions. Apply consistent logging, pass outputs and environment variables to later steps, publish readable summaries, and handle errors with the action's provided utilities.
Investigate unsafe deserialization, where restoring objects from untrusted data can trigger code execution. The skill covers Java, PHP, Python, .NET, Ruby, and related patterns, with detection clues and callback-based checks for confirming execution.
Test whether user input becomes HTML markup in pages or notification emails instead of appearing as plain text. Use distinctive test markers to document reflected or stored injection, assess visible effects, and distinguish HTML injection from JavaScript execution.
Provides coding conventions for TypeScript, JavaScript, React, and Node.js. It guides naming, type safety, error handling, API structure, and tests, with examples for simplifying complex functions and keeping code consistent and maintainable.
Turn source code imports and folder structure into diagrams for understanding a project, reviewing dependencies, or preparing documentation. Supports Python, JavaScript, TypeScript, Go, and Java, with Mermaid text output and optional SVG images.
Guides authorized testing of unsafe deserialization, where restoring saved data can trigger unintended behavior. Covers Java, PHP, Python, and .NET, helping agents define scope, assess alternative paths, and organize verified reproduction evidence.
Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations. Triggers: "AIProjectClient java", "azure ai projects java", "Foundry project java", "ConnectionsClient", "DatasetsClient", "IndexesClient".
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Migrate Java EE javax.* imports to Jakarta EE jakarta.* namespace. Use when upgrading to Spring Boot 3.x, migrating javax.persistence, javax.validation, javax.servlet imports, or fixing compilation errors after Jakarta EE transition. Covers package mappings, batch sed commands, and verification steps.
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Modern Java 21+ language standards including Records, Pattern Matching, and Virtual Threads. Use for Java language constructs or Java-to-Java upgrades; defer Kotlin, tests, formatting/build tools, CompletableFuture, builder patterns, and isolated null-handling questions.
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Use when you need framework-agnostic Docker and container image guidance for Java projects - Dockerfile design, multi-stage Maven builds, jlink custom runtimes, micro runtime distributions such as Alpaquita, JVM container ergonomics, non-root execution, image metadata, .dockerignore, reproducible builds, vulnerability scanning, SBOM awareness, and production-safe container defaults. This should trigger for requests such as Review Java Dockerfile; Improve Docker image security; Add jlink runtime to a Java container; Add containerization to a Java project; Optimize Java container image size; Review Docker build reproducibility. Part of Plinth Toolkit
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Use when you need to apply data-oriented programming best practices in Java — including separating code (behavior) from data structures using records, designing immutable data with pure transformation functions, keeping data flat and denormalized with ID-based references, starting with generic data structures converting to specific types when needed, ensuring data integrity through pure validation functions, and creating flexible generic data access layers. This should trigger for requests such as Improve the code with Data-Oriented Programming; Apply Data-Oriented Programming; Refactor the code with Data-Oriented Programming; Model Java data with records and pure functions; Separate Java behavior from immutable data structures; Validate data integrity with pure Java functions. Part of Plinth Toolkit
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Use when you need to review, improve, or refactor Java code for generics quality — including avoiding raw types, applying the PECS (Producer Extends Consumer Super) principle for wildcards, using bounded type parameters, designing effective generic methods, leveraging the diamond operator, understanding type erasure implications, handling generic inheritance correctly, preventing heap pollution with @SafeVarargs, and integrating generics with modern Java features like Records, sealed types, and pattern matching. This should trigger for requests such as Improve the code with Generics; Apply Generics; Refactor the code with Generics; Improve generic type safety in Java APIs; Fix raw types and unchecked casts in Java code. Part of Plinth Toolkit
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Add a new OSGi configuration property to the oak-store-document module. Modifies Configuration.java, DocumentNodeStoreService.java, DocumentNodeStoreBuilder.java, RDBDocumentNodeStoreBuilder.java, Utils.java, and all relevant test files with 90%+ coverage.
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Converts pseudocode descriptions and algorithm specifications into complete, executable Java code. Use this skill when you need to implement algorithms from pseudocode, translate algorithm descriptions to Java, generate Java code from specifications, convert textbook algorithms to working code, or create executable implementations from high-level descriptions. Preserves logic and control flow while handling Java idioms, data structures, and includes test cases for verification.
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Validate API consistency between two versions of Java libraries. Use when you need to compare API behavior, signatures, and exceptions between Java library versions to identify breaking changes, incompatible modifications, and behavior differences. The skill performs static analysis of Java code, compares method signatures, class definitions, interface changes, parameter types, return types, exception declarations, and generates a detailed JSON report with breaking changes, warnings, and migration guidance. Supports Java libraries and packages.
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Azure AI Agents Persistent SDK for Java workflow skill. Use this skill when the user needs Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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Azure Document Intelligence (Form Recognizer) SDK for Java workflow skill. Use this skill when the user needs Build document analysis applications using the Azure AI Document Intelligence SDK for Java and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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Azure AI Anomaly Detector SDK for Java workflow skill. Use this skill when the user needs Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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