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Found 1,976 Skills
When the user wants to design, optimize, or audit call-to-action (CTA) buttons. Also use when the user mentions "CTA," "call to action," "button design," "conversion button," "primary action," "CTA copy," "button text," "CTA placement," "conversion CTA," or "action button."
Web performance measurement and debugging toolkit. Use when the user asks about web performance, wants to audit a page, or says "analyze performance", "debug lcp", "check ttfb", "measure core web vitals", "audit images", or similar.
Use this skill when implementing web accessibility, adding ARIA attributes, ensuring keyboard navigation, or auditing WCAG compliance. Triggers on accessibility, a11y, ARIA roles, screen readers, keyboard navigation, focus management, color contrast, alt text, semantic HTML, and any task requiring WCAG 2.2 compliance or inclusive design.
Use this skill when working on technical SEO infrastructure - crawlability, indexing, XML sitemaps, canonical URLs, robots.txt, redirect chains, rendering strategies (SSR/SSG/ISR/CSR), crawl budget optimization, and search engine rendering. Triggers on fixing indexing issues, configuring crawl directives, choosing rendering strategies for SEO, debugging Google Search Console errors, or auditing site architecture for search engines.
Designer's eye plan review — interactive, like CEO and Eng review. Rates each design dimension 0-10, explains what would make it a 10, then fixes the plan to get there. Works in plan mode. For live site visual audits, use /design-review. Use when asked to "review the design plan" or "design critique". Proactively suggest when the user has a plan with UI/UX components that should be reviewed before implementation.
Creates missing instruction files (CLAUDE.md, AGENTS.md, GEMINI.md), audits token budget, prompt cache safety, cross-agent consistency. Use after setup or when instruction files need alignment.
Maps intelligence for local SEO — geo-grid rank tracking, GBP profile auditing via API, review intelligence across Google/Tripadvisor/Trustpilot, cross-platform NAP verification (Google/Bing/Apple/OSM), competitor radius mapping, and LocalBusiness schema generation from API data. Three-tier capability: free (Overpass + Geoapify), DataForSEO (full intelligence), DataForSEO + Google (maximum coverage). Use when user says "maps", "geo-grid", "rank tracking", "GBP audit", "review velocity", "competitor radius", "maps analysis", "local rank tracking", "Share of Local Voice", or "SoLV".
Document discovery, inventory building, and metadata extraction for accessibility audits. Use when scanning folders for Office documents (.docx, .xlsx, .pptx) and PDFs, building file inventories, detecting changes via git diff, or extracting document properties like title, author, and language.
Deep UI walkthrough with screenshot-based analysis across all pages and viewports (desktop + tablet + mobile). Delivers per-page improvement pitches grounded in what you actually see. Use when user says 'review the UI', 'pitch UI improvements', 'how does this look', 'UX audit', 'walk through the app'.
Analyze spending patterns and find savings. 50/30/20 rule, subscription audit, debt payoff strategies, emergency fund roadmap.
Builds and queries multi-language source code graphs for security analysis. Includes pre-analysis passes for blast radius, taint propagation, privilege boundaries, and entry point enumeration. Use when analyzing call paths, mapping attack surface, finding complexity hotspots, enumerating entry points, tracing taint propagation, measuring blast radius, or building a code graph for audit prioritization. Supports 16 languages including Solidity, Cairo, Circom, Rust, Go, Python, C/C++, TypeScript.
Augments Trailmark code graphs with external audit findings from SARIF static analysis results and weAudit annotation files. Maps findings to graph nodes by file and line overlap, creates severity-based subgraphs, and enables cross-referencing findings with pre-analysis data (blast radius, taint, etc.). Use when projecting SARIF results onto a code graph, overlaying weAudit annotations, cross-referencing Semgrep or CodeQL findings with call graph data, or visualizing audit findings in the context of code structure.