LLM application patterns for evaluation, streaming, and testing. Evaluation: LLM-as-judge, multi-dimension scoring, hallucination detection, Langfuse integration. Streaming: SSE, FastAPI endpoints, tool calls in streams, backpressure. Testing: mocking LLM responses, VCR.py recording, structured output validation. Use when: evaluating LLM quality, adding streaming, or testing AI features. Triggers on: LLM evaluation, LLM-as-judge, quality gate, streaming responses, SSE, test LLM, VCR, mock LLM
How to install llm-patterns?
ariegoldkin/claude-forge/llm-patterns
$npx -y skills add ariegoldkin/claude-forge --skill llm-patternsInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/ariegoldkin/claude-forge" --skill "ariegoldkin/claude-forge/llm-patterns"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/ariegoldkin/claude-forge" that are relevant to the current task. Run `npx skills add "https://github.com/ariegoldkin/claude-forge"` and select the relevant skills, then follow their instructions.
Related
6 picksType
- azure-aiUse for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR.Jul 2026
- ai-research-exploreRigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates.Jul 2026
- ai-research-reproductionRigor Reproduce compatible skill slug for README-first deep learning repository reproduction.Jul 2026
- explore-codeRigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories.Jul 2026
- run-trainRigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup…Jul 2026
- explore-runRigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories.Jul 2026
