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Found 1,248 Skills
Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.
Synthesize new works from extracted functional DNA documents. Use when adapting a source work to a new context, when combining multiple source extractions, or when generating variations that preserve function while changing form.
Expert blueprint for shader programming (visual effects, post-processing, material customization) using Godot's GLSL-like shader language. Covers canvas_item (2D), spatial (3D), uniforms, built-in variables, and performance. Use when implementing custom effects OR stylized rendering. Keywords shader, GLSL, fragment, vertex, canvas_item, spatial, uniform, UV, COLOR, ALBEDO, post-processing.
Apply Hyva UI template-based components to a Hyvä theme. This skill should be used when the user wants to add, install, or apply a Hyva UI component (such as header, footer, gallery, menu, minicart, etc.) to their Hyvä theme. It lists available non-CMS components and their variants, displays component README instructions, and copies component files to the theme directory.
Tech Stock Earnings Deep Dive Analysis and Multi-Perspective Investment Memo System (v3.0). Covers 16 major analysis modules (A-P), 6 investment philosophy perspectives, institutional-grade evidence standards, anti-bias framework, and actionable decision system. When users mention topics such as tech company earnings analysis, quarterly/annual report interpretation, earnings call, revenue growth analysis, margin changes, guidance, valuation models, DCF, reverse DCF, EV/EBITDA, PEG, Rule of 40, management analysis, competitive landscape, position sizing, whether to buy/sell/add to a tech stock position, how to interpret a company's latest earnings, doing a deep dive, multi-angle valuation, how investment masters view a company, variant view, key forces, kill conditions, ownership structure, executive team, partner ecosystem, macro policy impact, etc., this skill should be used. Even if the user simply asks "help me look at NVDA's latest earnings" or "how did META do this quarter" or "should I keep holding MSFT," this skill should be triggered to provide comprehensive earnings analysis and a multi-perspective investment memo. This skill complements the us-value-investing skill — us-value-investing focuses on long-term value four-dimensional scoring, while this skill focuses on in-depth dissection of the latest earnings, comprehensive judgment across multiple investment philosophies, and actionable position decisions.
Attach judges to AI Config variations for automatic LLM-as-a-judge evaluation. Create custom judges, configure sampling rates, and monitor quality scores.
Elite frontend image-direction skill for generating premium, artistic, implementation-friendly website design references. Uses combinatorial variation to avoid repetitive AI aesthetics, enforces cinematic hero minimalism, strong hierarchy, generous spacing, image-led composition, and anti-slop visual discipline. For visual frontend tasks, this skill must first generate the design image(s) itself, deeply analyze them, then implement the frontend to match them as closely as possible.
Define navigation tabs for Steedos applications. Tabs appear in the application sidebar and support three types: object (shows list view), page (renders a micro page), and url (opens internal/external URL). Covers .tab.yml structure, permissions per permission_set, icon/label configuration, desktop/mobile visibility, iframe/new-window options, license restrictions, and URL template variables.
Create logos using AI image generation. Discuss style/ratio, generate variations, iterate with user feedback, crop, remove background, and export as SVG. Use when user wants to create a logo, icon, favicon, or brand mark.
Check current Railway project status for this directory. Use when user asks "railway status", "is it running", "what's deployed", "deployment status", or about uptime. NOT for variables or configuration queries - use railway-environment skill for those.
Analyzes keyword usage in provided content, calculates density, suggests semantic variations and LSI keywords based on the topic. Prevents over-optimization. Use PROACTIVELY for content optimization.
Dead code & legacy audit worker (L3). Checks unreachable code, unused imports/variables/functions, commented-out code, backward compatibility shims, deprecated patterns. Returns findings.