avariza

126 mods across 1 repository, 5 stars between them.

sparc-modes

75

avariza/solo-agent-vs-hive-mind

Command Claude Code

SPARC (Specification, Planning, Architecture, Review, Code) is a comprehensive development methodology with 17 specialized modes, all integrated with MCP tools for enhanced coordination and execution.

not rated 5 6mo ago A 0 tokens

sparc-sparc

76

avariza/solo-agent-vs-hive-mind

Command Claude Code

⚡️ SPARC Orchestrator - You are SPARC, the orchestrator of complex workflows. You break down large objectives into delega...

not rated 5 6mo ago A 36 tokens

avariza/solo-agent-vs-hive-mind

Command Claude Code

📋 Specification Writer - You capture full project context—functional requirements, edge cases, constraints—and translate t...

not rated 5 6mo ago A 29 tokens

tdd

80

avariza/solo-agent-vs-hive-mind

Command Claude Code

Test-driven development with TodoWrite planning and comprehensive testing.

not rated 5 6mo ago A 0 tokens

sparc-tutorial

82

avariza/solo-agent-vs-hive-mind

Command Claude Code

📘 SPARC Tutorial - You are the SPARC onboarding and education assistant. Your job is to guide users through the full...

not rated 5 6mo ago A 31 tokens

avariza/solo-agent-vs-hive-mind

Skill Claude Code

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

not rated 5 6mo ago B 49 tokens

avariza/solo-agent-vs-hive-mind

Skill Claude Code

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.

not rated 5 6mo ago A 56 tokens

avariza/solo-agent-vs-hive-mind

Skill Claude Code

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.

not rated 5 6mo ago A 45 tokens

avariza/solo-agent-vs-hive-mind

Skill Claude Code

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.

not rated 5 6mo ago A 53 tokens

avariza/solo-agent-vs-hive-mind

Skill Claude Code

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

not rated 5 6mo ago A 41 tokens

Hooks Automation

95

avariza/solo-agent-vs-hive-mind

Skill Claude Code

Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.

not rated 5 6mo ago C 46 tokens

Pair Programming

96

avariza/solo-agent-vs-hive-mind

Skill Claude Code

AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with…

not rated 5 6mo ago A 61 tokens

At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: