Agent Skills by dalimovich
Showing 30 vetted skills indexed across 1 GitHub repositories.
V3 MCP Optimization
Integrate connection pooling, load balancing, and metrics monitoring into MCP servers.
stream-chain
Automate multi-step workflows with sequential prompt chains for agents.
sparc-methodology
Orchestrate multi-agent software development across specification, architecture, implementation, testing, and review phases.
Hooks Automation
Automates development workflows by coordinating hooks for validation, formatting, and session management with MCP integration and neural training capabilities.
V3 CLI Modernization
Refactor monolithic CLI files into modular commands with interactive prompts and automated workflows.
github-workflow-automation
Automate GitHub workflows for CI/CD, security, release, and multi-repo management.
Verification & Quality Assurance
Automate code verification, security checks, and quality scoring in CI/CD pipelines.
V3 Deep Integration
Consolidate AI system components into agentic-flow@alpha with code deduplication.
Skill Builder
Generate Claude Skills with templates, YAML frontmatter, and directory structures.
V3 Core Implementation
Implement DDD and clean architecture for TypeScript applications with dependency injection.
ReasoningBank with AgentDB
Store, retrieve, and analyze agent experiences and trajectories with AgentDB.
ReasoningBank Intelligence
Implement adaptive learning and strategy optimization for AI agents.
V3 Security Overhaul
Implement security upgrades for claude-flow v3 addressing CVEs and secure practices.
swarm-advanced
Design and execute complex swarm workflows across distributed AI orchestration topologies.
github-release-management
Automate multi-stage software releases with planning, testing, and deployment.
AgentDB Advanced Features
Implement QUIC synchronization, hybrid search, and multi-database coordination for distributed AI systems.
browser
Control web pages programmatically for automated browsing, data collection, and testing.
V3 DDD Architecture
Decompose monolithic systems into modular bounded contexts using DDD principles.
Swarm Orchestration
Orchestrate multi-agent AI swarms for distributed task execution.
V3 Memory Unification
Consolidate legacy memory systems into an AgentDB backend with HNSW vector search.
github-code-review
Coordinate multi-agent AI reviews on GitHub pull requests.
AgentDB Performance Optimization
Optimize AgentDB vector databases with quantization, indexing, caching, and batch processing.
AgentDB Memory Patterns
Implement persistent memory management for AI agents using AgentDB vector search.
V3 Performance Optimization
Benchmark and optimize AI system speed, memory, and responsiveness.