Need thorough, citation-backed research across multiple sources? This skill delivers verified, professional-grade reports through an 8-phase methodology with source credibility scoring and automatic citation validation. Stop spending hours searching and synthesizing—get comprehensive analysis ready for decisions.

Users struggle to describe visual content accurately when debugging UI issues or documenting designs. This skill provides detailed analysis of screenshots, diagrams, and visual content with actionable observations.

Finding and understanding documentation across libraries and frameworks takes significant time and effort. This skill provides accurate references and clear explanations by guiding the AI to prefer official documentation, highlight version-specific details, and provide concrete usage examples.

Converting web pages to markdown is time-consuming and error-prone. This skill uses intelligent content extraction with CSS selectors to fetch any URL and produce clean, readable markdown output for documentation, articles, and reference pages.

LLMs produce inconsistent results with poorly crafted prompts. This skill provides battle-tested patterns and templates for chain-of-thought reasoning, few-shot learning, and systematic prompt optimization to improve output quality.

You need consistent ways to measure LLM quality and regressions. This skill provides metrics, human review guidance, and testing frameworks for reliable AI assessment.

Content creators struggle to find trending topics that resonate with audiences. This skill fetches real-time hot list data from TopHub and uses Claude to identify high-potential topics and generate content suggestions.

Prevents AI models from treating search results as infallible truth. Establishes structured protocols for external evidence gathering, source tiering, and verification sprawl prevention.

Get current information beyond AI training data by searching the web instantly. Perfect for research, fact-checking, and staying updated with latest developments.

Enhance your AI agents with real-time web search and content extraction capabilities. This skill provides access to Tavily and Exa APIs through inference.sh CLI for research, fact-checking, and RAG pipelines.

Shallow code reviews lead to misunderstandings and bugs. This skill enforces rigorous, evidence-based investigation of codebases through structured multi-turn analysis.

An uncompromising Academic Research Engineer that applies scientific rigor, objective criticism, and zero fluff to engineering challenges. Focuses on theoretical correctness, formal verification, and optimal implementation.

Improve LLM outputs with proven prompt engineering techniques. This skill provides patterns for chain-of-thought reasoning, few-shot learning, and template systems that make AI interactions more reliable and controllable.

Stop the copy-paste dance between your browser and editor. This skill lets Claude Code chat directly with Google NotebookLM for source-grounded answers that cite your uploaded documents.

Stay current with fast-moving AI trends without drowning in noise. This skill surfaces what people are actually upvoting and discussing right now, then writes copy-paste prompts tailored to your target tool.

Deep research requires comprehensive information from multiple sources. This skill orchestrates 10 AI agents to work in parallel, gathering and synthesizing research faster than sequential methods.

Finding relevant information online is time-consuming with traditional keyword search. This skill enables semantic search using AI embeddings to discover similar content and conduct structured research through the Exa API.

Manual research is time-consuming and often incomplete. This skill automates multi-step research using Google Gemini Deep Research Agent to deliver comprehensive, cited reports in minutes.

This skill helps developers design and implement dynamic context management systems for AI applications, including vector databases, knowledge graphs, and intelligent memory architectures that provide the right information to AI systems at the right time.

Language models exhibit predictable performance degradation as context length increases. This skill helps diagnose lost-in-middle, poisoning, distraction, and clash patterns to build more reliable AI systems.