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Found 520 Skills
Generate 3D models from text or images. Use when the user requests "Create 3D model", "Text to 3D", "Image to 3D", "3D generation", "Generate mesh", "3D asset".
Domain assessment and web application mapping - subdomain discovery, port scanning, endpoint enumeration, API discovery, and attack surface analysis.
Use-case-driven multi-step pipelines on fal.ai. Trigger when the user asks for a specific kind of content production rather than a single endpoint call: "make a commercial", "ad creative", "product photography", "cinematic shot", "film look", "character design", "consistent character", "anchor system", "storyboard", "multi-shot", "narrative video", "talking head", "lip sync", "make this person talk", "virtual try-on", "garment transfer", "restore image", "deblur", "denoise", "fix face", "old photo restore", "add audio to video", "video sound effects", "product shot", "photoreal", "realistic photo", "candid photo", "editorial portrait", "documentary photo", "looks like a real photograph", "iPhone-style photo", "film photo", "archival photo". Each recipe describes inputs, the genmedia call sequence, and quality checks.
Frappe server-side Python patterns for controllers, document events, whitelisted APIs, background jobs, and database operations. Use when writing controller logic, creating APIs, handling document events, or processing data on the server.
Build MCP servers using the LeanMCP SDK with decorator-based TypeScript. Use this skill when users ask for "leanmcp", "MCP with decorators", "MCP with authentication", "MCP with elicitation", "MCP with environment injection", or want a simpler, more elegant way to build MCP servers. LeanMCP provides automatic schema generation, dependency injection, authentication, and user input collection.
Color token contrast computation, framework token paths (Tailwind/MUI/Chakra/shadcn), focus ring validation, WCAG 2.4.13 Focus Appearance, motion tokens, and spacing tokens for touch target compliance. Use when validating design system tokens for WCAG AA/AAA contrast compliance before they reach deployed UI.
This Skill summarizes common TypeScript issues and their solutions in Lynx development, mainly covering environment configuration, type extending, event handling, components, and ReactLynx advanced usages. Trigger Scenarios: - User inputs TypeScript error messages related to Lynx and seeks fix suggestions - LSP diagnoses Lynx-related TypeScript errors, proactively invoke query to get fix solutions - User asks about TypeScript best practices or common errors related to Lynx, proactively invoke query to provide guidance - User requests to configure the TypeScript environment of the current project to support Lynx development, proactively invoke query to provide configuration steps
ReactLynx best practices covering dual-thread architecture and React patterns. Provides rules reference for writing, static analysis for reviewing, and auto-fix for refactoring.
This guide provides step-by-step instructions for recording Lynx performance traces. Use this guide when the user asks how to record a trace.
Specializes in analyzing Lynx trace data to diagnose performance issues and provide actionable optimization strategies. Key Scenarios: - Loading Performance: Diagnosing slow startup metrics (FCP, FMP, TTI) and white screen issues. - Smoothness Analysis: Investigating root causes for scroll jank, frame drops, and interaction lag. - Regression Detection: Comparing traces to identify performance degradation or verify optimization gains between versions. - Pipeline Deep Dive: Pinpointing bottlenecks in specific rendering stages like Layout, Paint, JS execution, and background threads. - Native Module Analysis: Investigating performance issues related to native module calls.
Remap the function_id:pc_index to the original source code position by provided debug info json file.
Generate clear, standardized git commit messages based on code changes (diffs), following Conventional Commits specification.