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Prompt Engineering Patterns

prompt-engineering

rohitg00/awesome-claude-code-toolkit

Document describes structured prompts, chain-of-thought guidance, few-shot examples, system prompt design, and tooling advice for building reliable prompt engineering workflows in LLM-augmented products.

Advanced Prompt Engineering

prompt-engineering-patterns

sickn33/antigravity-awesome-skills

Guides production-ready prompt engineering by describing patterns for few-shot learning, chain-of-thought, template systems, and system prompt design so practitioners can optimize LLM reliability, performance, and controllability across complex applications.

Advanced Vision Engineering Guide

senior-computer-vision

alirezarezvani/claude-skills

Guides production-level computer vision engineering with object detection, segmentation, model optimization, and deployment, covering YOLO/Faster R-CNN/DETR, Mask R-CNN/SAM, vision transformers, PyTorch tooling, ONNX/TensorRT pipelines, and deployment best practices.

Production ML Engineering Guide

senior-ml-engineer

alirezarezvani/claude-skills

Guides ML engineers through deploying models, building MLOps pipelines, integrating LLMs, implementing RAG systems, and monitoring drift while emphasizing production readiness, cost control, and operational reliability.

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.

TransformerLens Interpretability Guide

transformer-lens-interpretability

Orchestra-Research/AI-Research-SKILLs

Guides mechanistic interpretability research with TransformerLens by exposing HookPoints, activation caching, activation patching, and circuit-analysis workflows to inspect and manipulate GPT-style models for reverse-engineering attention behavior and causal tracing.

Protein Language Modeling Suite

K-Dense-AI/claude-scientific-skills

Toolkit for ESM protein language models providing generative design, structure prediction, embeddings, function conditioning, and Forge-powered batch inference for protein engineering and representation tasks.

Context Engineering Advisor

context-engineering-advisor

deanpeters/Product-Manager-Skills

Helps product managers diagnose whether AI workflows rely on indiscriminate context stuffing or deliberate context engineering, then apply bounded domains, retrieval, and Research→Plan→Reset→Implement practices to improve reliability and output quality.

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.

AI First Engineering

ai-first-engineering

affaan-m/everything-claude-code

Guides engineering teams working with AI-assisted code generation to prioritize planning, measurable coverage, resilient architectures, and behavior-focused reviews for safe, reliable delivery.

Filesystem Context Engineering

filesystem-context

sickn33/antigravity-awesome-skills

Manages agent context by offloading bulk data to the filesystem so relevant information can be discovered and loaded on demand, preventing context window bloat and enabling shared state, scratch pads, and plan persistence across agent workflows.

LLM Ops Production

sickn33/antigravity-awesome-skills

Guides production-grade LLM operations by combining RAG pipelines, embeddings, vector databases, fine-tuning, prompt engineering, cost control, evals, caching, streaming, and agent orchestration.

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