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Minimalist GPT Training
nanogpt
Orchestra-Research/AI-Research-SKILLs
239
NanoGPT is a hackable ~300-line PyTorch reproduction of GPT-2 for learning transformer internals; train Shakespeare or OpenWebText on CPUs or multi-GPU setups, experiment with fine-tuning/custom datasets, and prototype quickly.
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Notion Knowledge Capture
notion-knowledge-capture
Prat011/awesome-llm-skills
331
Transforms conversations into structured Notion pages by extracting insights, decisions, and how-to details, organizing them with templates, and linking the new documentation to related hubs for easy discovery.
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Spec To Implementation
notion-spec-to-implementation
Prat011/awesome-llm-skills
232
Transforms product or technical specifications into structured Notion implementation plans, breaking down requirements into tasks with acceptance criteria, effort estimates, and progress tracking so Claude code can execute projects end-to-end.
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Clinical AI SDK Patterns
openevidence-sdk-patterns
jeremylongshore/claude-code-plugins-plus-skills
418
Guides building clinical AI integrations with the OpenEvidence SDK, covering singleton client setup, typed query builders, response transformers, and caching strategies for reliable decision support.
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Flash Attention Optimization
optimizing-attention-flash
Orchestra-Research/AI-Research-SKILLs
169
Speeds up transformer attention with Flash Attention techniques, offering 2-4× throughput gains and 10-20× memory reduction. Ideal for long-context models on PyTorch (native or flash-attn lib), H100 FP8, and sliding window scenarios to resolve GPU memory bottlenecks and improve inference.
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Structured Text Generation
outlines
Orchestra-Research/AI-Research-SKILLs
137
Outlines guarantees valid JSON/XML/code generation via CFG-driven FSM filtering, Pydantic schemas, and fast local or API models (Transformers, vLLM, llama.cpp), making structured inference safe and high-performance.
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Pipeline Monitoring Setup
pipeline-monitoring-setup
jeremylongshore/claude-code-plugins-plus-skills
453
Guides users through setting up monitoring for data pipelines, covering ETL, transformation, orchestration, streaming, and validation with best-practice code and configuration.
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Automated Data Preprocessing
preprocessing-data-with-automated-pipelines
jeremylongshore/claude-code-plugins-plus-skills
335
This skill builds and executes automated pipelines to clean, validate, and transform data for machine learning, covering ETL workflows, error handling, and quality reporting so Claude can deliver analysis-ready datasets.
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Production Code Audit
production-code-audit
sickn33/antigravity-awesome-skills
439
Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations
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Pyspark Transformer Guide
pyspark-transformer
jeremylongshore/claude-code-plugins-plus-skills
121
Automated assistance for pyspark transformer work within data pipelines, activating when you request transformer patterns or best practices and covering ETL, data transformation, orchestration, and streaming scenarios.
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LLM Quantization Toolkit
quantizing-models-bitsandbytes
Orchestra-Research/AI-Research-SKILLs
243
Quantizes LLMs to 8-bit or 4-bit to cut memory by 50-75%, letting inference and QLoRA fine-tuning run on constrained GPUs while keeping accuracy high; supports Bitsandbytes, NF4/INT8 formats, 8-bit optimizers, and HuggingFace Transformers.
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Response Transformer Assistance
response-transformer
jeremylongshore/claude-code-plugins-plus-skills
490
Auto-activating API Integration skill that guides response transformer work, covering common patterns, third-party APIs, webhooks, SDK generation, and delivers best-practice code plus validation advice.
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