Smith Horn Group
Official@smith-horn · Canada
Agentic AI Product Development, Consulting, and Training
Agent Skills by Smith Horn Group
Showing 30 vetted skills indexed across 1 GitHub repositories.
hive-mind-advanced
Orchestrate multi-agent coordination with queen-led oversight and shared memory.
stream-chain
Stream outputs between steps in multi-agent workflows.
sparc-methodology
Coordinate SPARC-driven software development across specification, architecture, refinement, and completion.
hooks-automation
Automate Claude Code pre- and post-operation hooks with MCP integration.
github-workflow-automation
Generate and orchestrate GitHub Actions workflows across multi-repo CI/CD pipelines.
Verification & Quality Assurance
Score truth, verify code, and rollback failed changes in CI/CD workflows.
Skill Builder
Generate Claude Code Skill skeletons with YAML frontmatter and directory structure.
agentic-jujutsu
Coordinate AI agent commits and branches with quantum-resistant version control.
flow-nexus-swarm
Deploy and manage cloud-based AI agent swarms with Flow Nexus.
ReasoningBank with AgentDB
Store, retrieve, and reason over adaptive patterns with AgentDB.
ReasoningBank Intelligence
Enable experiential learning and pattern-aware reasoning for adaptive AI agents.
varlock
Mask environment variables and validate secrets via the Varlock CLI.
swarm-advanced
Automate multi-agent swarm orchestration for distributed Claude Flow workflows.
performance-analysis
Detect and profile performance bottlenecks in Claude Flow swarms.
github-release-management
Automate GitHub release orchestration and AI swarm coordination for versioned deployments.
AgentDB Advanced Features
Automate AgentDB multi-database management, QUIC synchronization, and hybrid vector search.
flow-nexus-neural
Automate neural network training, deployment, and management in distributed Flow Nexus sandboxes.
Swarm Orchestration
Coordinate multi-agent swarms for distributed task execution across mesh, hierarchical, and adaptive topologies.
github-code-review
Coordinate parallel AI agents to review GitHub pull requests and enforce quality gates.
AgentDB Performance Optimization
Optimize AgentDB vector databases with quantization, HNSW indexing, and caching.
Governance
Automate engineering standard enforcement during code reviews and pre-commit checks.
AgentDB Memory Patterns
Persist and organize AI agent memory across sessions with AgentDB.
AgentDB Learning Plugins
Create, train, and deploy reinforcement learning plugins for AgentDB in Node.js/TypeScript.
github-project-management
Automate GitHub issue tracking, boards, and sprint workflows across multiple repositories.
Frequently Asked Questions About Smith Horn Group
FAQPage SchemaWhat specific tasks can I perform using Smith Horn Group's frameworks?▼
You can orchestrate multi-agent swarms, manage distributed vector memory via AgentDB, enforce repository governance, and synchronize complex CI/CD pipelines. These capabilities enable parallel code reviews, semantic document retrieval, and secure environment variable management across distributed development environments.
Which personas benefit most from these technical offerings?▼
These solutions are designed for senior software engineers, DevOps architects, and technical leads managing complex, multi-repository codebases. Professionals focused on scaling distributed development, implementing rigorous quality gates, and managing persistent memory for adaptive systems will find these frameworks highly relevant.
What are the primary prerequisites for deploying these solutions?▼
Deployment requires an environment configured for Claude Code and MCP integration. Users must have access to Node.js/TypeScript runtimes for plugin development and standard Git-based version control systems for repository management. Specific features like AgentDB require configured vector storage and network access for QUIC synchronization.