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Found 1,032 Skills
Real-time and streaming AI image generation — instant results for interactive use. Use when the user requests "Real-time generation", "Fast generation", "Streaming image", "Instant image", "Live generation", "Realtime".
Virtual try-on — see how clothes look on a person. Use when the user requests "Try on clothes", "Virtual try-on", "How does this look on me", "Fashion try-on", "Garment transfer".
Use when running controlled perf experiments to validate hypotheses.
Model-family-specific prompt craft for fal.ai endpoints. Trigger when the user mentions a specific model family by name and asks how to prompt it ("how do I prompt Kling", "GPT Image 2 prompt structure", "Happy Horse tips"), or when prompts to a routed endpoint keep coming back generic and the family's known nuances should be applied. For endpoint selection ("which model for X"), use `fal-models-catalog` instead. This skill is about how to talk to a model once it has been chosen.
One-click parsing of the actual download URL for WeChat Channels videos. Paste a WeChat Channels sharing link to get the video title, cover image, and HD watermark-free download URL. Trigger words: Use when the user mentions 'parse WeChat Channels', 'WeChat Channels download URL', 'WeChat Channels download', 'WeChat Channels watermark-free download'
Create a 60–90 second, collage-style HyperFrames explainer from a hiding-in-plain-sight topic or supplied documents and links. Use for requests such as 'make a plain-sight explainer', 'Vox-style history of X', 'why is X everywhere?', or 'turn this document into an explainer'. Covers topic or source routing, research, script, static design approval, voiceover timing, motion continuity, build, and numeric quality gates.
CVE vulnerability testing coordinator that identifies technology stacks, researches known vulnerabilities, and tests applications for exploitable CVEs using public exploits and proof-of-concept code.
Pull request authoring standards — structured descriptions, linking issues, providing test evidence, and writing good summaries. Reference when creating or describing pull requests.
Comprehensive code review criteria covering correctness, readability, maintainability, security, performance, and testing. Reference when reviewing code changes or preparing code for review.
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
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.
Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.