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Found 6,275 Skills
A comprehensive skill for uni-app mini program development. Use when building uni-app mini programs, configuring mini program settings, or working with mini program components and APIs based on the official native support docs.
Creates, updates, or optimizes an AGENTS.md file for a repository with minimal, high-signal instructions covering non-discoverable coding conventions, tooling quirks, workflow preferences, and project-specific rules that agents cannot infer from reading the codebase. Use when setting up agent instructions or Claude configuration for a new repository, when an existing AGENTS.md is too long, generic, or stale, when agents repeatedly make avoidable mistakes, or when repository workflows have changed and the agent configuration needs pruning. Applies a discoverability filter—omitting anything Claude can learn from README, code, config, or directory structure—and a quality gate to verify each line remains accurate and operationally significant.
Routes .NET/C# requests to the correct domain skill and loads coding standards as baseline for all code paths. Determines whether the task needs API, UI, testing, devops, tooling, or debugging guidance based on prompt analysis and project signals, then invokes skills in the right order. Always invoked after [skill:using-dotnet] detects .NET intent. Do not use for deep API, UI, testing, devops, tooling, or debugging implementation guidance.
Provides strategic insights on AI-driven software democratization and agent-based development trends from Replit's perspective. Use when discussing the future of software engineering, AI agent infrastructure requirements, democratization of coding, or when analyzing how AI will transform software creation from expert-only to universal access. Triggers include questions about software engineering automation trends, agent sandbox environments, SWE-bench benchmarks, or strategic implications of AI coding assistants for startups and enterprises.
Pattern reference for building Deco storefronts. Covers how a site uses the framework (@deco/deco) and apps (deco-cx/apps) together — CMS wiring via __resolveType, section patterns (loaders, LoadingFallback, JSDoc annotations for admin), client-side patterns (invoke proxy, signals, islands, analytics), and app composition (site.ts factory, AppContext, theme, images). Based on analysis of production sites like osklenbr. Use when building new sections, wiring CMS data, creating islands, setting up analytics, composing apps, or understanding how sites connect to the Deco ecosystem.
Optimize code performance through iterative improvements (max 2 rounds). Benchmark execution time and memory usage, compare against baseline implementations, and generate detailed optimization reports. Supports C++, Python, Java, Rust, and other languages.
Knip finds unused files, dependencies, exports, and types in JavaScript/TypeScript projects. Plugin system for frameworks (React, Next.js, Vite), test runners (Vitest, Jest), and build tools. Use when cleaning up codebases, optimizing bundle size, or enforcing strict dependency hygiene in CI.
App Store screenshot generation skill with two workflows: (A) AI-powered: fetches app metadata via `asc` CLI, analyzes screenshots with Claude vision, writes a ScreenPlan JSON, then generates final marketing screenshots via Gemini (`asc app-shots generate`), and optionally translates them (`asc app-shots translate`). (B) HTML-based (deterministic): writes a CompositionPlan JSON with precise device placement, text overlays, and backgrounds, then runs `asc app-shots html` to produce a self-contained HTML page with real device mockup frames and client-side PNG export — no AI needed. Use this skill when: (1) User asks to "create App Store screenshots" or "generate screenshot plan" (2) User asks to "make an HTML screenshot page" or "compose screenshots with mockups" (3) User mentions "asc-app-shots", "app-shots html", "composition plan", or screenshot marketing (4) User wants deterministic, reproducible screenshot layouts with device mockups (5) User wants AI-generated screenshots via Gemini
Remove backgrounds from images using segmentation. Support for color-based, edge detection, and AI-assisted removal methods. Batch processing available.
Declarative web framework for building browser-based 3D, VR, and AR experiences using HTML and entity-component architecture. Use this skill when creating WebXR applications, VR experiences, AR experiences, 360-degree media viewers, or immersive web content with minimal JavaScript. Triggers on tasks involving A-Frame, WebXR, VR development, AR development, entity-component-system, declarative 3D, or HTML-based 3D scenes. Built on Three.js with accessible HTML-first approach.
Provides comprehensive guidance for input validation, data serialization, and ID management in backend APIs. This skill should be used when designing validation schemas, transforming request/response data, mapping database IDs to external identifiers, and ensuring type safety across API boundaries.
Design gesture-based interactions for touch and pointer devices.