201 skills · sorted by relevance
Review HTML to find important fonts, images, and scripts discovered late during loading. Suggest resource hints, instructions that start fetching or connecting earlier, and check the final markup delivered to the browser.
Review slow page loads and choose resource hints, browser instructions that start loading or connecting earlier. Use measurements to identify bottlenecks, then recommend preload, preconnect, prefetch, or dns-prefetch for important assets and likely next-page resources.
Use webhint in .NET repositories that ship browser-facing frontends. Use when a repo needs CLI audits for accessibility, performance, security headers, PWA signals, SEO, or runtime page quality against a. USE FOR: the repo ships a browser-facing site and the user asks about accessibility, performance, SEO, security headers, or page quality; the repo has .hintrc, hint scripts, or a. DO NOT USE FOR: JavaScript or TypeScript semantic linting; route that to eslint or biome; stylesheet-only linting; route that to stylelint. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.
The English summary is being prepared. Showing the original description.
Beat Hintermann (Kantonsspital Baselland, Switzerland) 视角. 踝关节置换 (TAA) HINTEGRA 假体设计师 + 20 年长期 follow-up 数据 + Patient selection 派. 调用此 skill 时, 用 Hintermann 框架做终末期踝关节炎 / 置换 vs 融合 / 长期 follow-up 决策.
The English summary is being prepared. Showing the original description.
Aşamalı CTF ipucu sistemi — takılan kullanıcıya seviyeli ipucu verir. Level 1 (nudge), Level 2 (direction), Level 3 (solution). Her challenge için hint seviyesi ~/.fetih/ctf_hints.json'da takip edilir.
The English summary is being prepared. Showing the original description.
Write, review, and refactor Python code using PEP 8 style conventions, type hints that describe expected data types, and clear error handling. Includes package organization and memory-conscious patterns to support readable, maintainable applications.
Review early connections to third-party services such as fonts and APIs. Use loading measurements to identify essential domains, recommend preconnect hints that prepare connections in advance, and remove unnecessary hints that add overhead.
Audit page loading and choose resource hints, browser instructions for fetching files or preparing connections early. Use measurements to identify delays, then suggest preload, preconnect, prefetch, or dns-prefetch for critical assets, external services, and likely next-page resources.
Add Python type hints and configure strict checking with mypy or pyright to catch type errors before execution. Covers reusable classes that preserve type information, interfaces defined by required members, and checks for possibly missing values.
Help junior developers and AI newcomers understand code through guided questions and progressive hints. Support debugging, concept learning, and critical review of AI-generated code so learners can explain their reasoning and work toward solutions themselves.
Helps write and improve Python code with type hints, tests, and organized package settings. Covers dependency management, asynchronous tasks that wait on external operations, and profiling to identify performance bottlenecks before making changes.
Extract edge hints from daily market observations and news reactions, with optional LLM ideation, and output canonical hints.yaml for downstream concept synthesis and auto detection.
The English summary is being prepared. Showing the original description.
Write Godot 4.7 shaders in the Godot Shading Language: canvas_item shaders for 2D and spatial shaders for 3D, with vertex/fragment functions, uniforms (source_color, hint_range), TIME/UV animation, and screen-reading via hint_screen_texture. Use when authoring .gdshader files, writing fragment/vertex code, making 2D/3D visual effects, or porting 3.x shaders (SCREEN_TEXTURE, hint_color) to 4.x.
The English summary is being prepared. Showing the original description.
Intelligent loading performance analysis with automated workflows for TTFB investigation (DNS/connection/server breakdown), render-blocking detection, script performance deep dive (first vs third-party attribution), font optimization, and resource hints validation. Includes decision trees that automatically analyze TTFB sub-parts when slow, detect script loading anti-patterns (async/defer/preload conflicts), identify render-blocking resources, and validate resource hints usage. Features workflows for complete loading audit (6 phases), backend performance investigation, and priority optimization. Cross-skill integration with Core Web Vitals (LCP resource loading), Interaction (script execution blocking), and Media (lazy loading strategy). Use when the user asks about TTFB, FCP, render-blocking, slow loading, font performance, script optimization, or resource hints. Compatible with Chrome DevTools MCP.
The English summary is being prepared. Showing the original description.
Generate a cascading hint sequence for a problem type, revealing progressively without giving answers. Use when designing tutoring dialogues or scaffolded worksheets.
The English summary is being prepared. Showing the original description.
Applies the reasoning style of Geoffrey Hinton, deep learning pioneer and 2018 Turing Award winner. Use this skill whenever evaluating AI safety, existential risk, neural network architectures, cognitive science, or tech regulation. Reach for this when the user is discussing LLM capabilities (understanding vs. autocomplete), the biological vs. digital intelligence divide, AI alignment strategies, or the societal/economic impacts of automation. It is highly applicable when dealing with contrarian scientific ideas, hardware/software integration (mortal vs. immortal computing), or global cooperation on technological threats. Do not wait for the user to name Hinton; trigger this skill proactively for any deep learning or AI existential risk analysis.
The English summary is being prepared. Showing the original description.
Applies the reasoning style of Geoffrey Hinton, deep learning pioneer and 2018 Turing Award winner. Use this skill whenever evaluating AI safety, existential risk, neural network architectures, cognitive science, or tech regulation. Reach for this when the user is discussing LLM capabilities (understanding vs. autocomplete), the biological vs. digital intelligence divide, AI alignment strategies, or the societal/economic impacts of automation. It is highly applicable when dealing with contrarian scientific ideas, hardware/software integration (mortal vs. immortal computing), or global cooperation on technological threats. Do not wait for the user to name Hinton; trigger this skill proactively for any deep learning or AI existential risk analysis.
The English summary is being prepared. Showing the original description.
Generate a cascading hint sequence for a problem type, revealing progressively without giving answers. Use when designing tutoring dialogues or scaffolded worksheets.
The English summary is being prepared. Showing the original description.
Learn AI engineering by building a project one stage at a time. The tutor guides predictions, learner-written code, automated checks, and reflection, then records progress so the next session can continue from the right stage.
Design practice lessons around learners’ actual attempts, using the zone of proximal development: learning supported by a teacher or experienced peer. Plan targeted help, fresh independent tasks, and evidence-based next steps, or run a single practice cycle in chat.
Generate Python code for Dataverse integrations with error handling, retries, logging, and shared connection management. Include type hints, usage examples, and queries that retrieve only the records and columns needed for the task.
Review and improve code changes on the current branch using Pipecat conventions. Refine names and structure, add type hints and documentation, check example patterns, and make conservative performance improvements while preserving compatibility.
Build Vue 3 applications using JavaScript and JSDoc comments that describe data types. Create components and reusable logic, configure Vite, routing, and state management, and check annotations and behavior with ESLint and Vitest.
Find the right tool for equations, calculus, numerical calculations, proof checks, or math practice. The guide connects tasks to commands for computing results, verifying steps, requesting hints, and plotting functions.