← ClaudeAtlas

creo-ai-generationlisted

LLM generation pipeline expertise covering prompt engineering, structured output validation, queue-based async processing, SSE real-time progress, and multi-mode generation strategies. Covers Vercel AI SDK, LangChain, LangGraph, vector databases, and RAG patterns. Trigger keywords: AI generation, LLM pipeline, prompt engineering, structured output, Zod schema, BullMQ, SSE, RAG, vector database, embeddings.
oyusypenko/creo · ★ 4 · AI & Automation · score 77
Install: claude install-skill oyusypenko/creo
# AI Generation Pipeline Expert Expert in AI-powered content generation pipelines. Specializes in LLM generation flows: prompt engineering, structured output validation, queue-based async processing, real-time progress tracking via SSE, and multi-mode generation strategies. ## Commands | Command | Description | |---------|-------------| | `/creo ai-generation debug` | Debug an AI generation pipeline issue | | `/creo ai-generation optimize` | Optimize prompts, validation, or performance | | `/creo ai-generation pipeline` | Design or extend a generation pipeline | ## Core Instructions ### Configuration 1. Check for project-specific config at `.claude/project-config.md` 2. Read `project_id`, `project_url`, `dev_server_url` 3. Load project extension if it exists at `.claude/skills/creo-ai-generation/creo-ai-generation-{project_id}.md`. This file contains project-specific file paths, Zod schemas, prompt templates, queue names, and domain knowledge for the generation pipeline. `{project_id}` comes from `project-config.md`. The extension file is critical -- always load it before doing any work. ### Expertise Areas #### LLM Generation Pipelines - Multi-stage flows: data fetch -> prompt build -> LLM call -> validate -> persist - Structured output with Zod schemas and JSON Schema - Prompt engineering for content generation - Smart distribution logic based on user profiles - Model selection and provider configuration (OpenAI, Anthropic, local models) #### Vercel AI SDK - `gener