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Claude Agent Guide

agent-development

anthropics/claude-plugins-official

Provides structured guidance for designing Claude Code plugin agents, covering frontmatter fields, system prompts, example triggering scenarios, and tooling practices so developers can consistently build autonomous subprocesses.

Agent Memory Architecture

agent-memory-systems

sickn33/antigravity-awesome-skills

Defines best practices for designing agent memory systems, focusing on retrieval, chunking strategies, vector stores, and metadata handling to keep multi-agent interactions coherent over millions of exchanges.

Lindy Integration Blueprints

lindy-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Provides production-ready reference architectures for designing Lindy AI systems, covering basic integrations, event-driven queues, multi-agent orchestration, and high-availability failover.

Memory Systems Design

sickn33/antigravity-awesome-skills

Designs short-term, long-term, and graph-based memory architectures so agents keep context, reason over accumulated knowledge, and persist entities across sessions.

Coordinated Multi-Agent Systems

multi-agent-patterns

sickn33/antigravity-awesome-skills

Guides designers of language-model multi-agent systems through supervisor, swarm, and hierarchical patterns while stressing context isolation, coordination protocols, and token economics for complex research or tool-intensive workflows.

Prompt Engineering Suite

prompt-engineer

Jeffallan/claude-skills

Guides teams through designing, refining, and evaluating LLM prompts with structured output schemas, system guardrails, chain-of-thought techniques, and documented test metrics.

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.

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