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Deep-dive guides, frameworks, and checklists for building AI systems that actually work.


The Nine Skills Framework

The Complete Guide to Agentic AI Strategy

A comprehensive PDF covering all nine essential skills for building production-grade AI systems. This is the foundational resource for builders, strategists, and executives navigating the agentic AI transition.

What's inside:

  • The three pillars of agentic AI competency
  • Nine transferable skills that work across any platform
  • Implementation patterns and common pitfalls
  • Key technologies and standards for each skill

Individual Skill Deep-Dives

Each guide provides an in-depth exploration of a single skill, including architecture patterns, implementation checklists, and real-world use cases.

Pillar 1: Autonomous System Architecture

Skill Description
Skill 1: Orchestration Multi-agent coordination, state management, and workflow patterns
Skill 2: Interoperability Standards, protocols, and integration engineering
Skill 3: Observability Production-grade logging, tracing, and MLOps

Pillar 2: Data-Centric AI Engineering

Skill Description
Skill 4: Memory Architecture Short-term, long-term, and semantic memory systems
Skill 5: Context Economics Context window optimization and cost management
Skill 6: Data Governance Data quality, lineage, and grounding strategies

Pillar 3: Security, Governance & Capability

Skill Description
Skill 7: Identity Management Non-human identity, RBAC, and access control
Skill 8: Tool Engineering Function calling, tool discovery, and capability design
Skill 9: Security & Resilience OWASP threats, guardrails, and adversarial testing

How to Use These Resources

  1. Start with the Framework - Read the Nine Skills overview to understand the complete picture
  2. Identify Your Gaps - Which skills does your team need to develop?
  3. Deep-Dive - Download the individual guides for your priority areas
  4. Implement - Use the checklists and patterns in your projects

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All resources are free. No email required for downloads.