Complex codebases are difficult to analyze without full context. This skill delegates large-scale code analysis to Gemini CLI while Claude handles implementation, following a proven research-then-implement workflow.

Complex problems need multiple perspectives. Delphi coordinates parallel AI agents to explore the same question independently, revealing divergent insights you might miss with a single investigation.

Finding accurate information takes too long when checking multiple sources manually. This skill launches parallel research agents that search web, docs, and code simultaneously, then synthesize findings with confidence scores.

Stop manually coordinating research tasks across multiple sources. This skill provides structured templates for AI agents to conduct systematic research with proper source management and synthesis.

Finding qualified leads requires hours of research across multiple sources. This skill automates lead discovery by analyzing your product, identifying matching companies, and providing prioritized contact strategies for each prospect.

Competitor ad research requires manual browsing of multiple ad libraries. This skill automates the extraction and analysis process, identifying successful messaging patterns, pain points being targeted, and creative approaches that resonate with audiences.

Writing marketing copy without real customer language misses the mark. This skill extracts authentic customer quotes from forums, reviews, and social media to power conversion-focused messaging.

Competing for search rankings requires understanding why competitors rank higher and what signals Google uses to evaluate content. This skill analyzes Google ranking signals, identifies content gaps, and provides data-driven recommendations to improve search visibility.

Players face difficult decisions about scientific research and survival on an alien world. This interactive story teaches botanical concepts through immersive dialogue where choices determine whether Stella makes breakthrough discoveries or dangerous mistakes.

Single AI agents hit context limits when handling complex tasks. This skill teaches proven patterns to distribute work across multiple agents while maintaining coordination and avoiding common failure modes.

Finding current information and working code examples takes significant time and effort. This skill provides unified access to web search and code context retrieval through Exa AI, enabling efficient technical research with both articles and implementation examples.

Need current information for your project. This skill executes web searches using Gemini CLI to find documentation, error solutions, and technical content. Get comprehensive, cited results for complex research tasks.

Building Logseq templates requires understanding Schema.org standards. This skill researches classes, properties, and hierarchies to ensure proper integration. It fetches official definitions and provides actionable integration guidance.

Developers often struggle to find current industry standards and proven approaches for implementation challenges. This skill provides researched best practices, design patterns, and recommendations tailored to specific project contexts.

Understanding new or complex codebases takes significant time and effort. This skill provides systematic investigation techniques to quickly map code structure, trace dependencies, identify patterns, and find key implementations without reading every file manually.

Understanding code structure and patterns helps developers navigate unfamiliar codebases faster. This skill identifies design patterns, architectural styles, and recurring code structures to provide insights into how software is organized.

Research agents often hit API rate limits and show unclear progress, frustrating users. This skill adds exponential backoff, proper web search integration, and real-time progress updates so users stay informed during long research tasks.

Diagnose unexpected outcomes and anomalies by generating ranked explanations with evidence. This skill helps identify root causes when you have incomplete data and need to infer what happened.

Startups often struggle to validate market opportunities with data-backed insights. This skill provides structured frameworks for TAM/SAM/SOM analysis, competitive mapping, and customer profiling to inform go/no-go decisions.

Understanding unfamiliar codebases takes significant time and effort. DeepWiki MCP provides AI-powered repository analysis and RAG-based Q&A for GitHub, GitLab, and Bitbucket projects.