KentwareDemo
Community@KentwareDemo
KentwareDemo provides claude-flow v3 orchestration skills spanning multi-agent swarms, AgentDB vector memory, GitHub CI/CD, and SPARC methodology.
Agent Skills by KentwareDemo
Showing 30 vetted skills indexed across 1 GitHub repositories.
KentwareDemoV3 MCP Optimization
Implements connection pooling, load balancing, and tool registry optimization for MCP servers.
KentwareDemostream-chain
Chains sequential prompts into multi-step agent workflows with context flowing between steps.
KentwareDemosparc-methodology
Orchestrates multi-agent software development using the SPARC phased methodology with TDD workflows.
KentwareDemoHooks Automation
Automates pre/post-operation hooks, session management, and memory coordination for Claude Code workflows.
KentwareDemoV3 CLI Modernization
Modernizes claude-flow v3 CLI with modular commands, interactive prompts, and hooks integration.
KentwareDemogithub-workflow-automation
Automates GitHub Actions CI/CD pipelines with swarm-coordinated workflow generation and analysis.
KentwareDemoVerification & Quality Assurance
Verifies code quality with truth scoring, automated checks, and rollback for agent outputs.
KentwareDemoV3 Deep Integration
Migrates claude-flow onto agentic-flow@alpha adapters to eliminate duplicate orchestration code.
KentwareDemoSkill Builder
Creates Claude Code Skills with YAML frontmatter and progressive disclosure structure.
KentwareDemoV3 Core Implementation
Implements DDD domains, clean architecture, and dependency injection for TypeScript codebases.
KentwareDemoReasoningBank with AgentDB
Implements adaptive learning memory for agents using AgentDB vector storage and reasoning modules.
KentwareDemoReasoningBank Intelligence
Implements adaptive learning for agents using pattern recognition and strategy optimization.
KentwareDemoV3 Security Overhaul
Remediates critical CVEs and implements secure-by-default patterns for claude-flow v3.
KentwareDemoswarm-advanced
Orchestrates multi-agent swarms for research, development, testing, and analysis workflows.
KentwareDemogithub-release-management
Automates GitHub release orchestration with versioning, testing, deployment, and rollback workflows.
KentwareDemoAgentDB Advanced Features
Configures QUIC synchronization, hybrid search, and multi-database management for AgentDB vector stores.
KentwareDemobrowser
Automates web browser navigation, interaction, and data extraction using AI-optimized accessibility snapshots.
KentwareDemoV3 DDD Architecture
Decomposes monolithic orchestrator code into bounded contexts using Domain-Driven Design patterns.
KentwareDemoSwarm Orchestration
Orchestrates multi-agent swarms with mesh, hierarchical, and adaptive topologies for parallel task execution.
KentwareDemoV3 Memory Unification
Consolidates multiple memory backends into AgentDB with HNSW vector search indexing.
KentwareDemogithub-code-review
Coordinates multi-agent code reviews on GitHub pull requests using swarm orchestration.
KentwareDemoAgentDB Performance Optimization
Optimize AgentDB vector databases using quantization, HNSW indexing, caching, and batch operations.
KentwareDemoAgentDB Memory Patterns
Implement persistent memory patterns for AI agents using AgentDB vector storage.
KentwareDemoV3 Performance Optimization
Validates and benchmarks claude-flow v3 performance targets including Flash Attention, HNSW search, and memory reduction.
Frequently Asked Questions About KentwareDemo
FAQPage SchemaWhat tasks can I accomplish with KentwareDemo's skills?▼
You can orchestrate multi-agent swarms, implement SPARC methodology, automate GitHub Actions CI/CD and releases, run swarm-based code reviews, build semantic vector search with AgentDB, train reinforcement learning plugins, optimize MCP server transport, and enforce truth-scored quality verification with automatic rollback.
Who are these skills designed for?▼
These skills target engineers building distributed multi-agent systems, DevOps teams managing GitHub repositories and releases, and developers implementing persistent agent memory, RAG retrieval, or pair-programming sessions with TDD, debugging, and refactoring support.
What are the installation prerequisites and dependencies?▼
GitHub skills require the gh CLI, git, Node.js (v16+ or v20+ depending on skill), and claude-flow@alpha. Project management skills need ruv-swarm or a claude-flow MCP server configured, plus repository access permissions. Multi-repo coordination requires ruv-swarm@^1.0.11 and gh-cli@^2.0.0.
How do the AgentDB skills improve agent performance?▼
AgentDB skills deliver HNSW indexing for 150x faster search, quantization for 4-32x memory reduction, QUIC synchronization, hybrid search, and nine reinforcement learning algorithms including Decision Transformer, SARSA, and Actor-Critic for building stateful, self-learning agents.
How do the skills ensure code quality and security?▼
The verification skill applies truth scoring with a 0.95 accuracy threshold and automatic rollback, while the v3 security overhaul addresses critical CVEs with secure-by-default patterns. Pair programming adds continuous code review, security scanning, and truth-score verification.