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Found 3,526 Skills
Analyze text to detect if it was written by AI. Returns a score from 0-100 with detailed metrics. Use when checking content before publishing or submitting.
Skill for writing fluent and readable test assertions with AwesomeAssertions. Use it when you need to write clear assertions, compare objects, validate collections, or handle complex comparisons. Covers complete APIs such as Should(), BeEquivalentTo(), Contain(), ThrowAsync(), etc. Keywords: assertions, awesome assertions, fluent assertions, Should(), Be(), BeEquivalentTo, Contain, ThrowAsync, NotBeNull, object comparison, collection validation, exception assertion, AwesomeAssertions, FluentAssertions, fluent syntax
Manage Google Sheets spreadsheets. Read/write cell values and ranges, manage sheets, formatting, and formulas. Use when working with Google Sheets spreadsheet management.
Apply when writing, modifying, or reviewing code. Behavioral guidelines to reduce common LLM coding mistakes. Triggers on implementation tasks, code changes, refactoring, bug fixes, or feature development.
Audit web pages for performance optimization following PageSpeed Insights guidelines. Use when analyzing page performance, optimizing web applications, reviewing performance metrics, implementing Core Web Vitals improvements, or when the user mentions page speed, performance optimization, Lighthouse scores, or Core Web Vitals.
Write correct and idiomatic Typst code for document typesetting. Use when creating or editing Typst (.typ) files, working with Typst markup, or answering questions about Typst syntax and features. Focuses on avoiding common syntax confusion (arrays vs content blocks, proper function definitions, state management).
A fast, extensible progress bar for Python and CLI. Instantly makes your loops show a smart progress meter with ETA, iterations per second, and customizable statistics. Minimal overhead. Use for monitoring long-running loops, simulations, data processing, ML training, file downloads, I/O operations, command-line tools, pandas operations, parallel tasks, and nested progress bars.
Common patterns for building store locators, restaurant finders, and location-based search applications with Mapbox. Covers marker display, filtering, distance calculation, and interactive lists.
Structure stories around protagonists who refuse to acknowledge what they're becoming. Use when exploring self-deception, moral transformation, or the gap between self-perception and reality.
Master fine-tuning of large language models for specific domains and tasks. Covers data preparation, training techniques, optimization strategies, and evaluation methods. Use when adapting models for specialized applications, reducing inference costs, or improving domain-specific performance.
The industry standard library for machine learning in Python. Provides simple and efficient tools for predictive data analysis, covering classification, regression, clustering, dimensionality reduction, model selection, and preprocessing.
Use when user describes a complex project goal, wants to set up multiple skills at once, asks "what skills do I need for X", or needs to manage installed skill bundles. Triggers on multi-skill setup, skill combination, project bootstrapping, or batch skill management.