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Found 1,764 Skills
Guide for implementing Syncfusion WinUI DataGrid (SfDataGrid) for tabular data display in desktop applications. Use this skill when working with data grids, sorting, filtering, grouping, or CRUD operations. Covers data binding, column configuration, master-details views, Excel export, and performance optimization including data virtualization and custom templates.
Use when the user needs prompt design, optimization, few-shot examples, chain-of-thought patterns, structured output, evaluation metrics, or prompt versioning. Triggers: new prompt creation, prompt optimization, few-shot example design, structured output specification, A/B testing prompts, evaluation framework setup.
A complete guide to developing MusicFree desktop theme packs from scratch. It is triggered when users request to write, create, design MusicFree desktop theme packs, or ask to generate themes based on reference images, color schemes, or style keywords. It covers the full process including CSS variable system, color design paradigms, static themes, dynamic iframe themes, resource optimization, packaging testing, and submission to the theme market. This Skill is designed for AI execution, guiding AI to collaborate with community contributors (who may have no front-end experience) to complete theme pack development.
When the user wants help with Quality Score analysis, diagnosing low Quality Scores, improving Expected CTR, Ad Relevance, or Landing Page Experience, understanding Ad Rank, reducing CPCs through Quality Score, running a Quality Score audit, or tracking Quality Score over time. Triggers on 'quality score', 'QS', 'expected CTR', 'ad relevance', 'landing page experience', 'ad rank', 'low quality score', 'quality score audit', 'improve quality score', 'CPC too high', or 'below first page bid'. For search campaign structure and RSAs see google-ads-search. For keyword strategy see google-ads-keywords. For landing page optimization see page-cro.
When the user wants to audit a Google Ads account for a lead generation business — reviewing CPL, lead volume, lead quality, form conversion rates, offline conversion imports, and pipeline-focused optimization. Triggers on 'lead gen audit', 'Google Ads audit lead generation', 'CPL audit', 'audit my lead gen account', 'B2B Google Ads audit', 'lead quality audit', 'cost per lead audit', 'lead gen account review', or 'review lead generation Google Ads'. For general account audits see google-ads-account-audit. For ecommerce audits see google-ads-audit-ecommerce.
Looks up implementation details in the latest Cloudinary docs via llms.txt. Use when building code or answering questions relating to image or video uploads, optimization, or transformations, and for Cloudinary SDKs, APIs, webhooks, or integrations.
Generate Triton operator requirement documents suitable for Ascend NPU. Used when users need to design new Triton operators, write operator requirement documents, or perform operator performance optimization design.
Tracks cumulative LLM costs across DAG execution and makes real-time decisions to stay within budget. Downgrades models, skips optional nodes, or stops early when cost exceeds thresholds. Use when managing execution budgets, analyzing cost breakdowns, or optimizing model routing for cost. Activate on "cost budget", "too expensive", "reduce cost", "cost optimization", "model downgrade", "budget exceeded". NOT for LLM model selection logic (use llm-router), pricing comparisons across providers, or billing/invoicing.
Use this skill when applying visual effects to PixiJS v8 containers via the filter pipeline. Covers built-in filters (AlphaFilter, BlurFilter, ColorMatrixFilter, DisplacementFilter, NoiseFilter), custom Filter.from() with GLSL/WGSL, options (resolution, padding, antialias, blendRequired), filterArea optimization, pixi-filters community package. Triggers on: filters, BlurFilter, ColorMatrixFilter, DisplacementFilter, NoiseFilter, Filter.from, GLSL filter, pixi-filters, filterArea.
The Landing Page Audit skill performs comprehensive evaluations of post-click experiences, combining technical performance analysis with conversion rate optimization (CRO) assessment.
Comprehensive SEO, discoverability, and AI crawler optimization for web projects. Use for technical SEO audits, llms.txt/robots.txt setup, schema markup, social launch strategies (Product Hunt, HN, Reddit), and Answer Engine Optimization (AEO). Activate on 'SEO', 'discoverability', 'llms.txt', 'robots.txt', 'Product Hunt', 'launch strategy', 'get traffic', 'be found', 'search ranking'. NOT for paid advertising, PPC campaigns, or social media content creation (use marketing skills).
Build type-safe LLM applications with DSPy.rb — Ruby's programmatic prompt framework with signatures, modules, agents, and optimization. Use when implementing predictable AI features, creating LLM signatures and modules, configuring language model providers, building agent systems with tools, optimizing prompts, or testing LLM-powered functionality in Ruby applications.