Tech Hub Skills

200+ production-ready AI agent skills for Claude Code and GitHub Copilot.

Features a hierarchical multi-agent system with a Brainstorm → Plan → Implement workflow, 95% token efficiency, advanced domain expertise, and comprehensive safety guardrails for damage control.

Quick Install

For Claude Code (CLI)

npx tech-hub-skills install

For GitHub Copilot (VSCode)

npx tech-hub-skills install --copilot

This creates .github/copilot-instructions.md with all expert skills.

v2.3: Hierarchical Agent Architecture & Unified Skills

95% token reduction with on-demand skill loading and intelligent coordination.

Multi-Agent Hierarchy

1. Orchestrator Agent (visible) - The master coordinator. Analyzes requests, brainstorms approaches, and creates execution plans.
2. 5 Lead Agents (visible) - Domain experts for AI/ML, Platform, Security, Data, and Product development.
3. 25 Specialist Agents (internal) - Deep technical specialists (e.g., AI Engineer, MLOps, SRE) loaded dynamically by Leads.

Workflow: Brainstorm → Plan → Implement

• Brainstorm: Understands requirements, constraints, and risks BEFORE acting.
• Plan: Scans registries to select ONLY the needed skills (typically 3-7 per task).
• Implement: Executes step-by-step with validation checkpoints and adaptive planning.

What's Included

• 200+ Skills: LLMs, RAG, MLOps, DevSecOps, Lakehouse, Cloud (AWS/Azure/GCP), and more.
• Lazy-Loading: Significant token savings via internal skill registries.
• Security First: Built-in PII detection, security hardening, and compliance automation.
• Safety Guardrails: File deletion protection, database safety, credential protection, automatic backups, and audit logging.
• Cost Aware: AI/ML cost optimization and efficient tool usage.

Usage

Claude Code - Slash Commands

Route directly to the master coordinator or domain leads:

# Recommended entry point (Full Workflow)
/orchestrator "Build a customer churn prediction model"

# Domain specific
/ai       # AI, ML, and Data Science
/platform # DevOps and Cloud Infrastructure
/security # Security and Compliance
/data     # Data Engineering
/product  # Full-stack Development

GitHub Copilot

Copilot automatically applies expert knowledge via instructions. Reference roles in comments to steer:

# Using AI Engineer approach for RAG pipeline
def build_rag_system():
    pass

# Apply Security Architect best practices
def handle_user_upload(file_data):
    pass

Available Lead Roles

| Lead | Domain | Specialists | | ----------------- | ---------------------- | --------------------------------------------------------- | | AI/ML Lead | AI, ML, Data Science | AI Engineer, ML Engineer, Data Scientist, MLOps | | Platform Lead | Infrastructure, DevOps | DevOps, SRE, Platform Eng, Network, Docker, Cloud, FinOps | | Security Lead | Security, Compliance | Security Architect, Compliance Officer, Security Hardener | | Data Lead | Data Engineering | Data Engineer, Data Governance, Database Admin | | Product Lead | Product Development | Product Designer, Frontend/Backend Dev, QA, Tech Writer |

Documentation

• Full System: AGENTS.md
• Safety Guardrails: SAFETY-GUARDRAILS.md
• GitHub Copilot Guide: GITHUB_COPILOT.md
• Changelog: CHANGELOG.md

License

MIT