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LangSmith Observability Platform

langsmith-observability

Orchestra-Research/AI-Research-SKILLs

LangSmith is an observability platform for debugging, evaluating, and monitoring LLM applications, combining tracing, dataset-backed evaluation, and production metrics to streamline AI testing and incident response.

LLM Evaluation Toolkit

sickn33/antigravity-awesome-skills

Guides comprehensive evaluation of LLM applications with automated metrics, human reviews, and LLM-as-judge patterns to benchmark prompts, detect regressions, and validate deployments.

Model Evaluation Metrics

model-evaluation-metrics

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for evaluating machine learning models, covering best practices, sample code, and validation patterns triggered by mentions of model evaluation metrics.

NeMo LLM Benchmark Evaluator

nemo-evaluator-sdk

Orchestra-Research/AI-Research-SKILLs

NeMo Evaluator SDK runs containerized, enterprise-grade evaluations across 100+ benchmarks and 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution on Docker, Slurm HPC, or cloud platforms for reproducible LLM insights.

Phoenix AI Observability

phoenix-observability

Orchestra-Research/AI-Research-SKILLs

Phoenix is an open-source AI observability and evaluation platform that captures traces, experiments, datasets, and real-time dashboards for debugging, evaluating, and monitoring production LLM systems.

LLM Prompt Engineering

prompt-engineer

Jeffallan/claude-skills

Designs, refines, and evaluates prompts for LLM workflows, covering zero/few-shot, chain-of-thought, system personas, structured outputs, and testable evaluation suites to boost accuracy and efficiency.

RAG System Architect

Jeffallan/claude-skills

Guides architects in building production-grade retrieval-augmented generation systems via document chunking, embedding generation, vector store setup, hybrid search, reranking, and evaluation for knowledge-backed AI services.

Prompt Engineering Toolkit

senior-prompt-engineer

alirezarezvani/claude-skills

Senior Prompt Engineer centralizes prompt optimization, RAG evaluation, and agent orchestration so teams can analyze token usage, build few-shot examples, and validate structured workflows for LLM projects.

Vertex Agent Builder

vertex-agent-builder

jeremylongshore/claude-code-plugins-plus-skills

Scaffolds production-ready generative AI agents on Vertex AI with Gemini models, multi-modal tools, RAG, and Cloud Run/Endpoint deployment, including observability and evaluation for enterprise scenarios.

Genomic Interval ML

K-Dense-AI/claude-scientific-skills

Geniml is a Python toolkit for applying machine learning to genomic interval data (BED/scATAC-seq), offering region and metadata embeddings, universe-building, and utilities for downstream similarity search, clustering, and evaluation.

LLM Evaluation Judgment

advanced-evaluation

sickn33/antigravity-awesome-skills

Guides building production-grade LLM-as-judge evaluation systems by defining scoring and pairwise comparison setups, bias mitigation, and metric choices for automated and human-aligned quality assessment.

Agentic Engineering Workflow

agentic-engineering

affaan-m/everything-claude-code

Guides agentic engineering efforts where AI agents execute implementation while humans focus on risk-aware evaluation, breaking work into verifiable units, routing models by complexity, and tracking costs and regression checks.

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