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Search Parallel , found 15 results

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Multi-Agent Claude Orchestrator

jeremylongshore/claude-code-plugins-plus-skills

Gastown orchestrates parallel Claude Code agents, providing CLI tools to install, set up workspaces, track beads, manage agent lifecycles, recover from crashes, and merge outputs via the Refinery while reporting health and statuses.

Infinite Gratitude Research

infinite-gratitude

sickn33/antigravity-awesome-skills

Infinite Gratitude orchestrates ten specialized agents to run parallel research workflows, letting you gather and synthesize deep insights faster than single-stream investigations; refer to the official repo for installation and execution guidance.

LangChain Core Workflows

langchain-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

Guides developers to assemble LangChain LCEL chains and prompt templates for sequential, parallel, and branching LLM workflows with type-safe parsers and reusable components.

LangChain Migration Deep Dive

langchain-migration-deep-dive

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through complete LangChain migrations, covering assessment, SDK refactors, RAG/agent transitions, parallel validation, and feature-flag rollouts for legacy LLM systems.

RWKV Hybrid Architecture

rwkv-architecture

Orchestra-Research/AI-Research-SKILLs

RWKV hybrid architecture merges parallel Transformer training with sequential RNN inference to deliver linear-time, infinite-context generation without KV caches, enabling streaming text production and long-document processing on constrained hardware.

HighThroughput LLMS

serving-llms-vllm

Orchestra-Research/AI-Research-SKILLs

Deploy LLMs with vLLM to maximize throughput and minimize latency through PagedAttention, continuous batching, quantization, and tensor parallelism for production APIs or batch inference on constrained GPUs.

Megatron LLM Training

training-llms-megatron

Orchestra-Research/AI-Research-SKILLs

Megatron-Core orchestrates training of 2B–462B parameter LLMs with tensor/pipeline/context/expert parallelism, maximizing H100 MFU for production-grade distributed training pipelines.

PufferLib Reinforcement Learning

K-Dense-AI/claude-scientific-skills

PufferLib is a high-performance RL framework for fast parallel training, vectorized environments, and multi-agent workflows; use it when you need million-step-per-second PPO training, custom environments, or integration with Gymnasium, Atari, Procgen, and other ecosystems.

Research Lookup Router

research-lookup

K-Dense-AI/claude-scientific-skills

Automatic research lookup routing that picks Parallel Chat API for general inquiries and Perplexity sonic search for academic papers, making it ideal for finding studies, verifying claims, gathering market data, or sourcing citations for documentation.

Parallel Web Research

K-Dense-AI/claude-scientific-skills

Parallel Web Research orchestrates the Parallel Chat and Extract APIs to search the live web, gather market and technical intelligence, and synthesize cited summaries, making it the go-to tool for research requests and general information gathering workflows.

Multi-Advisor Expert Board

sickn33/antigravity-awesome-skills

Simultaneously activates multiple expert agents to analyze any topic through parallel perspectives, then synthesizes their insights into one decisive recommendation for complex product, strategy or policy questions.

Task Intelligence Protocol

task-intelligence

sickn33/antigravity-awesome-skills

Activates all relevant agents before executing any request, enriching context through parallel analysis, time estimation, risk mapping, and contingency planning to prevent rework on complex tasks.

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