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Found 2,026 Skills
Native SwiftUI WebKit integration with the new WebView struct and WebPage observable class. Covers WebView creation from URLs, WebPage for navigation control and state management, JavaScript execution (callJavaScript with arguments and content worlds), custom URL scheme handlers, navigation management (load, reload, back/forward), navigation decisions, text search (findNavigator), content capture (snapshots, PDF generation, web archives), and configuration (data stores, user agents, JS permissions). Use when embedding web content in SwiftUI apps instead of the old WKWebView + UIViewRepresentable/NSViewRepresentable bridge pattern. This is a brand new API — do NOT use the old WKWebView wrapping approach.
Highest level of research and reasoning capabilities for complex decision-making with significant consequences, strategic planning, technical architecture decisions, multi-stakeholder problems, or high-complexity troubleshooting requiring expert-level judgment and sophisticated reasoning chains. Prioritizes actively maintained repositories and validates website sources for 2025 relevance.
Manual QA testing — verify features end-to-end as a user would, using every tool available (browser, macOS, bash, APIs). Focuses on what formal test suites cannot capture: visual correctness, UX flows, usability judgment, integration reality, edge cases, and failure modes. Standalone or composable with /ship. Triggers: qa, qa test, manual test, test the feature, verify it works, exploratory testing, smoke test, end-to-end verification.
Creates beautiful, protein-focused weekly dinner menus for families with research capabilities. Generates printer-ready PDFs (8.5x11) with random design styles, identifies leftover opportunities, suggests local restaurants, emphasizes seasonal ingredients, and includes Homemade Pizza Fridays. Use when users want to plan family dinners, create refrigerator menus, or need meal planning assistance.
This skill provides semantic search capabilities using embedding-based similarity matching for code and text. Enables meaning-based search beyond keyword matching, with optional document parsing (PDF, DOCX, PPTX) support.
Add before/after comparison screenshots to a PR using browser automation. Captures UI on the base branch and the PR branch, saves to docs/screenshot/, and updates the PR body with a side-by-side comparison table using GitHub CDN URLs.
Complete ClickHouse operations guide for DevOps and SRE teams managing production deployments. Provides practical guidance on monitoring essential metrics (query latency, throughput, memory, disk), introspecting system tables, performance analysis, scaling strategies (vertical and horizontal), backup/disaster recovery, tuning at query/server/table levels, and troubleshooting common issues. Use when diagnosing ClickHouse problems, optimizing performance, planning capacity, setting up monitoring, implementing backups, or managing production clusters. Includes resource management strategies for disk space, connections, and background operations plus production checklists.
Automatically discover and recommend relevant Claude skills when users encounter tasks that could benefit from specialized capabilities. Use this skill proactively when detecting any of these patterns: (1) User mentions working with specific file formats (PDF, DOCX, Excel, images, etc.), (2) User describes repetitive or specialized tasks (data analysis, code review, deployment, testing, document processing), (3) User asks if there's a tool or capability for something, (4) User struggles with domain-specific work (React development, SQL queries, DevOps, content writing), (5) User mentions needing best practices or patterns for a technology, (6) Any situation where a specialized skill could save time or improve quality. Search using SkillsMP API (if configured), skills.sh leaderboard, or GitHub as fallback. Recommend 1-3 most relevant skills and offer to install via npx skills add.
Compound engineering loop — 5 stages to reduce rework. Use when: (1) starting new work (brainstorm); (2) planning implementation (plan); (3) writing code (work); (4) evaluating output (review); (5) capturing lessons (compound). NOT for: daily rhythm (use daily); task management only (use task).
Enables interaction with Google NotebookLM for advanced RAG (Retrieval-Augmented Generation) capabilities via the notebooklm-mcp-cli tool. Use when querying project documentation stored in NotebookLM, managing research notebooks and sources, retrieving AI-synthesized information, generating audio podcasts or reports from notebooks, or performing contextual queries against curated knowledge bases. Triggers on "notebooklm", "nlm", "notebook query", "research notebook", "query documentation in notebooklm".
Generate and edit images with Alibaba Qwen-Image-2.0 models via inference.sh CLI. Models: Qwen-Image-2.0 (fast), Qwen-Image-2.0-Pro (professional text rendering). Capabilities: text-to-image, multi-image editing, complex text rendering. Triggers: qwen image, qwen-image, alibaba image, dashscope image, qwen image 2, qwen image pro
Strategic guidance on AI scaling laws, capability trajectories, and building products at the frontier of AI capabilities. Use when users ask about AI scaling trends, capability forecasting, planning AI product development timelines, understanding pretraining vs reinforcement learning phases, interpreting AI benchmark improvements, deciding when to build AI products that don't quite work yet, or strategizing around rapidly advancing AI capabilities. Also triggers for questions about task horizon doubling, Jevons paradox in AI, or how to position products for future model improvements.