attentiondotnet
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Agent Skills by attentiondotnet
Showing 176 vetted skills indexed across 4 GitHub repositories.
V3 MCP Optimization
Optimize claude-flow v3 MCP servers with connection pooling and tool registry indexing.
stream-chain
Coordinate multi-agent prompts into sequential streaming data workflows.
sparc-methodology
Coordinate parallel software development workflows across five SPARC phases.
Hooks Automation
Automate Claude Code workflows with pre/post hooks and MCP coordination.
V3 CLI Modernization
Modernize claude-flow v3 CLIs with modular commands, interactive prompts, and enhanced hooks.
github-workflow-automation
Coordinate GitHub Actions workflows with AI swarm orchestration.
Verification & Quality Assurance
Run and manage the full lifecycle of your containerized applications with a single tool.
V3 Deep Integration
Consolidates claude-flow into an extension of agentic-flow@alpha.
Skill Builder
Automate creation and documentation of Claude Code Skills with YAML frontmatter and progressive-disclosure templates.
V3 Core Implementation
Automate V3 core module setup with DDD, clean architecture, and DI patterns.
ReasoningBank with AgentDB
Integrate ReasoningBank with AgentDB's vector DB for adaptive agent reasoning.
ReasoningBank Intelligence
Enable adaptive learning for AI agents with pattern recognition and strategy optimization.
V3 Security Overhaul
Orchestrate a security overhaul for claude-flow v3 to fix critical CVEs.
swarm-advanced
Coordinate multi-agent swarms across mesh, hierarchical, star, or ring topologies.
github-release-management
Automate GitHub release orchestration with versioning, testing, deployment, and rollback.
AgentDB Advanced Features
Coordinate distributed AI systems across multiple AgentDB instances with QUIC-based synchronization.
browser
Automate browser navigation, form filling, and UI testing with AI-optimized element references.
V3 DDD Architecture
Decompose claude-flow v3 into bounded contexts with a microkernel pattern.
Swarm Orchestration
Coordinate multi-agent swarms for distributed tasks with automated load balancing and fault tolerance.
V3 Memory Unification
Consolidate multiple memory systems into a unified AgentDB backend with HNSW indexing.
AgentDB Performance Optimization
Optimize AgentDB vector search performance and memory usage with quantization and HNSW indexing.
AgentDB Memory Patterns
Store and retrieve session memories and long-term facts with AgentDB.
V3 Performance Optimization
Automate benchmarking, tuning, and validation of Claude v3 acceleration techniques.
AgentDB Learning Plugins
Configure 9 reinforcement learning algorithms via AgentDB plugins.