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Ray Data Processing

Orchestra-Research/AI-Research-SKILLs

Ray Data is a scalable distributed data processing library for ML workloads, streaming execution across CPU/GPU, integrates with Ray Train, PyTorch, TensorFlow, and handles Parquet/CSV/JSON/images for preprocessing, ETL, or batch inference from single node to cluster.

Ray Train Distributed Orchestration

Orchestra-Research/AI-Research-SKILLs

Ray Train orchestrates distributed PyTorch/TensorFlow/HuggingFace training from laptops to thousands of nodes, adding elastic scaling, hyperparameter search, and fault tolerance while keeping most code unchanged.

RetellAI Architecture Blueprints

retellai-architecture-variants

jeremylongshore/claude-code-plugins-plus-skills

Guides selecting and implementing Retell AI architecture blueprints from single webhook servers to event-driven voice pipelines, helping teams match scale, latency budgets, and state management when building or migrating voice agent integrations.

Retell AI Policy Guardrails

retellai-policy-guardrails

jeremylongshore/claude-code-plugins-plus-skills

Implements lint rules, policy enforcement, and guardrails for Retell AI voice agents, covering content filtering, consent flows, cost caps, and escalation checks for CI or pre-commit setups.

SentencePiece Tokenizer Engine

Orchestra-Research/AI-Research-SKILLs

SentencePiece provides a lightweight, deterministic subword tokenizer that trains on raw Unicode text and scales across multilingual and CJK applications without language-specific preprocessing.

Claude Skill Stocktake

skill-stocktake

affaan-m/everything-claude-code

Provides a slash command that audits every Claude skill and command using an AI-assisted checklist plus multi-mode scanning to catch regressions or outdated references before they ship.

Slime RL Training

slime-rl-training

Orchestra-Research/AI-Research-SKILLs

Guides LLM post-training with reinforcement learning using the Slime (Megatron + SGLang) framework, covering GLM-style training, custom data buffers, rollout management, and Megatron-LM integration for scalable policy tuning.

Solana Vulnerability Audit

solana-vulnerability-scanner

trailofbits/skills

Scans Solana and Anchor programs for six critical security vulnerabilities—arbitrary CPI, improper PDA validation, missing signer/ownership checks, sysvar spoofing, and instruction introspection issues—to support audits and pre-launch reviews.

TensorRT LLM Optimizer

Orchestra-Research/AI-Research-SKILLs

Optimizes LLM inference on NVIDIA GPUs, delivering 10-100× faster throughput, sub-10ms latency, and multi-GPU scaling with FP8/INT4 quantization, in-flight batching, and production-ready serving for real-time deployments.

Torchforge RL Training

torchforge-rl-training

Orchestra-Research/AI-Research-SKILLs

Torchforge RL Training documents Meta's PyTorch-native torchforge library, which separates algorithms from infrastructure so researchers can explore GRPO/SFT losses, manage Monarch actors, tap TorchTitan and vLLM for scalable distributed runs, and monitor KL/loss curves.

Vector Index Tuning

vector-index-tuning

sickn33/antigravity-awesome-skills

Optimize vector indexes by tuning HNSW parameters, choosing quantization strategies, and scaling infrastructure to hit latency, recall, and memory targets for large-scale search workloads.

Verl RL Training

verl-rl-training

Orchestra-Research/AI-Research-SKILLs

Guides RLHF-style LLM fine-tuning with verl's HybridFlow stack, scaling PPO/GRPO/DAPO across FSDP/Megatron/vLLM backends for math reasoning, agentic multiturn, and vision-language workflows.

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