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Found 1,352 Skills
Iterative UI/UX polishing workflow for web applications. The exact prompt and methodology for achieving Stripe-level visual polish through multiple passes.
Validate startup ideas using Hexa's Opportunity Memo framework and Perceived Created Value (PCV) methodology. Assess problem-solution fit, market opportunity, and determine if an idea is worth pursuing.
The meta-skill that powers all other AI tools. Prompt engineering for creative applications is the art and science of communicating with AI models to produce exactly what you envision—in images, video, audio, and text. This isn't just "write better prompts." It's understanding how different models interpret language, how to structure requests for different modalities, how to iterate systematically, and how to build prompt libraries that encode your creative vision. The best prompt engineers have developed intuition for what words trigger what responses in each model. This skill is foundational—it amplifies the effectiveness of every other AI creative skill. Master this, and you master the interface to all AI creation. Use when "prompt, prompting, prompt engineering, better prompts, prompt optimization, how to prompt, prompt strategy, prompt library, prompt template, make AI understand, prompt-engineering, prompting, meta-skill, ai-creative, foundational, optimization, iteration" mentioned.
Designs robust function/tool calling schemas for LLMs with JSON schemas, validation strategies, typed interfaces, and example calls. Use when implementing "function calling", "tool use", "LLM tools", or "agent actions".
Recommend font combinations for different use cases. Provide Google Fonts alternatives to premium fonts with hierarchy examples.
Use when user input contains xlb topic queries (for example "xlb >vibe coding/vib", "xlb ??vibe coding", or "查询xlb vibe coding主题") and the task is to fetch Markdown index from local getPluginInfo API, then perform code-based retrieval with routing to available network skills/MCP tools when possible.
Run tests from skill examples and generate a report (project)
Helps Claude Code understand Sui blockchain keypair and cryptography operations, providing guidelines and examples for key generation, signing, verification, address derivation, and multi-signature scheme support. Use when working with cryptography in Sui development or when the user mentions keypairs, cryptography, signing, or verification.
Review secret detection patterns and scanning workflows. Use for identifying high-signal secrets like AWS keys, GitHub tokens, and DB passwords. Use proactively during all security audits to scan code and history. Examples: - user: "Scan for secrets in this repo" → run high-signal rg patterns and gitleaks - user: "Check for AWS keys" → scan for AKIA patterns and server-side exposure - user: "Audit my .env files" → ensure secrets are gitignored and not committed - user: "Verify secret redaction" → check that reported secrets follow 4+4 format - user: "Scan build artifacts for keys" → search dist/ and build/ for secret patterns
Review Bun runtime security audit patterns. Use for auditing Bun-specific vulnerabilities including shell injection, SQL injection, server security, and process spawning. Use proactively when reviewing Bun apps (bun.lockb, bunfig.toml, or bun:* imports present). Examples: - user: "Review this Bun shell script" → audit `$` usage and argument injection - user: "Check my bun:sqlite queries" → verify `sql` tagged template usage - user: "Audit my Bun.serve() setup" → check path traversal and request limits - user: "Is my Bun.spawn() usage safe?" → audit command injection and input validation - user: "Review WebSocket security in Bun" → check authentication before upgrade
Apply the formal standard for React component engineering focusing on accessibility, composition, and styling. Use for building professional, composable React artifacts. Use proactively when creating or reviewing React components. Examples: - user: "/component-create Button trigger" → build accessible button with asChild and keyboard map - user: "/component-review src/components/Input.tsx" → audit for accessibility and composition compliance - user: "Build a responsive slider" → select taxonomy type and implement with data attributes - user: "Review my layout component" → check for monolithic patterns vs composition
Comprehensive SEO analysis for any website or business type. Performs full site audits, single-page deep analysis, technical SEO checks (crawlability, indexability, Core Web Vitals with INP), schema markup detection/validation/generation, content quality assessment (E-E-A-T framework per Dec 2025 update extending to all competitive queries), image optimization, sitemap analysis, and Generative Engine Optimization (GEO) for AI Overviews, ChatGPT, and Perplexity citations. Analyzes AI crawler accessibility (GPTBot, ClaudeBot, PerplexityBot), llms.txt compliance, brand mention signals, and passage-level citability. Industry detection for SaaS, e-commerce, local business, publishers, agencies. Triggers on: "SEO", "audit", "schema", "Core Web Vitals", "sitemap", "E-E-A-T", "AI Overviews", "GEO", "technical SEO", "content quality", "page speed", "structured data".