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Found 10,598 Skills
Run technical quality checks across accessibility, performance, theming, responsive design, and anti-patterns. Generates a scored report with P0-P3 severity ratings and actionable plan. Use when the user wants an accessibility check, performance audit, or technical quality review.
Apply Hegelian dialectics (thesis-antithesis-synthesis) to analyze contradictions and generate higher-order understanding. Use this skill when the user needs to resolve opposing viewpoints, find creative synthesis between conflicting positions, or move past binary thinking — even if they say 'both sides have valid points', 'how do we reconcile these views', or 'is there a third option'.
Python code refactoring skills, covering code smell identification, design pattern application, readability improvement, and practical experience. This skill is applicable when users request "refactor code", "refactor", "code optimization", "improve code quality", "code smell review", "apply design patterns", "enhance readability", or submit code review requests. It supports generating structured refactoring documents after refactoring completion ("output refactoring document", "generate refactoring report"). It includes practical patterns extracted from 20+ real refactoring PRs in the vllm-ascend repository.
This skill should be used when a developer wants to autonomously execute all tasks under a fully-specified Epic or Feature — for example "go", "start building", "implement everything", "run the loop", "execute the feature", "build it all", "kick it off". Requires that the Epic/Feature/Task tree is fully written before starting. Chains implement → verify → PR for every task in dependency order, with targeted human-in-the-loop gates for contradictions and ambiguities.
SEO methodologies, keyword research techniques, and optimization strategies for search engine visibility
Use when a user mentions Scandit, data capture SDK, barcode scanning products, smart data capture, choosing a scanning product, comparing scanning features, supported barcode symbologies, system requirements, device compatibility, or Scandit pricing. Helps choose the right Scandit product (SparkScan, Barcode Capture, MatrixScan, Smart Label Capture, ID Capture, etc.), points to the correct documentation and sample apps for their platform, and hands off to implementation skills.
Migrate Next.js, Vite, React, Vue, Svelte, and other web applications from Vercel to CreateOS. Parses vercel.json, maps environment variables, detects framework and build settings, and deploys to CreateOS via the CreateOS MCP server. Use this skill whenever the user mentions migrating from Vercel, leaving Vercel, moving a deployment off Vercel, replacing Vercel, or when a repository contains a vercel.json file and the user wants to deploy elsewhere. Also use when the user references concerns about Vercel reliability, pricing, security, or the Vercel breach, and wants an alternative.
Apple-tier soft web prototype. Silver/cream canvas, double-bezel cards, button-in-button CTAs, generous squircle radii, spring motion, ambient mesh. Distilled from Leonxlnx/taste-skill `soft-skill` + sections 4–8 of `taste-skill`.
Reviews Forge apps for security vulnerabilities, architecture issues, cost inefficiencies, performance problems, and trigger/scheduling waste before deployment. Use when the user says "review my Forge app", "check my app", "pre-deploy check", "is my app ready to deploy", "audit my Forge app", "check for security issues", "check performance", "review manifest", "check my Forge app for problems", "app review", "optimize my Forge app costs", "reduce invocations", "why is my app expensive", "check my triggers", or any request to evaluate a Forge app's quality, safety, cost efficiency, or readiness. Also triggers when users ask about Forge best practices, permission scopes, resolver optimization, storage efficiency, cold start reduction, frontend offloading, trigger filtering, scheduled trigger frequency, N+1 API calls, bulk API usage, verbose logging, or Forge platform pricing.
Summarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl) and per-user profiles across runs, with privacy guardrails baked in. Use when the user asks to "总结群聊", "群聊精华", "群聊摘要", "summarize group chat", "group chat digest", mentions a WeChat group name with a time range, says "帮我看看 XX 群最近聊了什么", "XX 群有什么值得看的", or asks to "回溯画像" / "初始化画像" / "backfill profiles". Adds the roast version when the user says "毒舌版", "roast 版", "再来个毒舌的", or similar.
Add multiple functional specs to the ***functional specs*** section of a ***plain spec file in a single batch. Use whenever more than one new functional spec is being added — whether the user explicitly asks, or another skill/workflow (e.g. forge-plain, add-feature) needs to author several specs in one pass. Bulk-writing or hand-authoring functional specs without invoking this skill is forbidden; for adding a single spec, use add-functional-spec instead.
Implement a unit-test runner script (Bash on macOS/Linux, PowerShell on Windows) for an arbitrary programming language, following the same conceptual pattern as the bundled Java reference script in assets/. Use when the user wants to add a testing script for a new language (Python, Node.js, Go, Rust, etc.) to a ***plain project, or wants to regenerate / adapt the existing Java runner.