Agent Skills by acarmonag
Showing 30 vetted skills indexed across 1 GitHub repositories.
V3 MCP Optimization
Optimize Model Context Protocol server performance with connection pooling and O(1) tool registry lookups.
stream-chain
Execute sequential multi-agent workflows by chaining prompt outputs as context.
sparc-methodology
Orchestrate multi-agent software development across specification, architecture, and implementation phases.
Hooks Automation
Coordinate agent workflows with MCP-integrated hooks for validation and session persistence.
V3 CLI Modernization
Modernize CLI architectures with modular registries, interactive prompts, and workflow orchestration.
github-workflow-automation
Generate and optimize GitHub Actions workflows with multi-agent swarm coordination.
Verification & Quality Assurance
Automate code security validation and reliability scoring for software projects.
V3 Deep Integration
Refactor parallel agentic implementations into a unified agentic-flow@alpha extension.
Skill Builder
Generate standardized directory structures and YAML frontmatter for Claude Code Skills.
V3 Core Implementation
Implements TypeScript modules using Domain-Driven Design and clean architecture patterns.
ReasoningBank with AgentDB
Track agent trajectories and distill memory patterns using a vector database.
ReasoningBank Intelligence
Record experiences and recognize patterns to optimize agent decision-making strategies.
V3 Security Overhaul
Remediate critical CVEs and implement secure-by-default patterns in claude-flow v3.
swarm-advanced
Orchestrate distributed multi-agent swarms for research, development, and testing workflows.
github-release-management
Orchestrate software release lifecycles with versioning, changelog generation, and multi-platform deployment.
AgentDB Advanced Features
Manage distributed vector database operations with QUIC synchronization and hybrid search.
browser
Automate web browser interactions and data extraction using accessibility snapshots.
V3 DDD Architecture
Decompose monolithic application architectures into modular, domain-driven bounded contexts.
Swarm Orchestration
Orchestrate multi-agent swarms with dynamic topology and load balancing.
V3 Memory Unification
Consolidate fragmented memory backends into a unified AgentDB with HNSW indexing.
github-code-review
Coordinate a multi-agent swarm to review GitHub pull requests for security, performance, architecture, and style issues.
AgentDB Performance Optimization
Optimize AgentDB vector database performance with quantization, HNSW indexing, and caching.
AgentDB Memory Patterns
Implement persistent memory patterns and reinforcement learning for AI agents using AgentDB.
V3 Performance Optimization
Validate claude-flow v3 performance metrics for Flash Attention and HNSW indexing.