ai-llm-patterns
AI/LLM integration patterns: Anthropic SDK streaming with TypeScript, RAG architecture (chunking, embedding, vector search with pgvector), tool use / function calling, model selection guide (Haiku vs Sonnet vs Opus), prompt caching, structured output with Zod, token cost management. Use when building AI features, RAG pipelines, AI agents.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install rnavarych-alpha-engineer-ai-llm-patterns
Repository
Skill path: plugins/billy-milligan/skills/shared/ai-llm-patterns
AI/LLM integration patterns: Anthropic SDK streaming with TypeScript, RAG architecture (chunking, embedding, vector search with pgvector), tool use / function calling, model selection guide (Haiku vs Sonnet vs Opus), prompt caching, structured output with Zod, token cost management. Use when building AI features, RAG pipelines, AI agents.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Full Stack, Data / AI, Integration.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: rnavarych.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install ai-llm-patterns into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/rnavarych/alpha-engineer before adding ai-llm-patterns to shared team environments
- Use ai-llm-patterns for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.