ai-llm-patterns
Anthropic Claude integration patterns: streaming, RAG with pgvector, tool use, model selection (Haiku/Sonnet/Opus), prompt caching, and cost management for AI-powered engineering.
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222 skills found
Anthropic Claude integration patterns: streaming, RAG with pgvector, tool use, model selection (Haiku/Sonnet/Opus), prompt caching, and cost management for AI-powered engineering.
A design-focused coding agent that brings world-class interface craft, motion, and systematic front-end engineering to your development workflow.
Generates structured, conventional git commit messages based on staged changes.
A structured workflow for co-authoring documentation, technical specs, and proposals, guiding users through context gathering, collaborative refinement, and reader verification.
Equip autonomous agents with a funded wallet, identity, and paid API tools for search, generative AI media creation, messaging, and remote communication.
Generate professional, compliant Git commit messages from your staged changes using Chris Beams' seven rules.
Analyze business contracts for risks, gaps, and unfavorable terms. Generate structured risk reports for NDAs, MSAs, SaaS agreements, and SOWs with actionable redline recommendations.
A structured prompting framework to transform casual inputs into professional, modular LLM prompts with persona, context, task, format, and guardrails.
Expert-level guidance for ffuf web fuzzing, enabling automated discovery of hidden directories, files, parameters, and vulnerabilities during penetration testing.
Retrieve current weather conditions, forecasts, and temperature data for global locations to assist with daily planning and travel.
Psychology of conversion for video and sponsored content. Uses emotional triggers, social proof, scarcity, and persuasion principles to optimize scripts and enhance audience engagement.
Executes Gradle-based Java tests, filters results for failures and key statistics, and provides concise reports to streamline backend development and debugging.