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GH-600 Skills Checklist

Check off each sub-skill as you complete the corresponding quest.

Domain 1: Agentic AI in the SDLC (18%)

  • 1.1 Explain how agentic AI fits into the SDLC → Q1
  • 1.2 Differentiate planning and action phases → Q2
  • 1.3 Configure observability and control for agent workflows → Q3

Domain 2: Tools, Environments, and Agent Capabilities (18%)

  • 2.1 Identify and configure appropriate agent tools and permissions → Q4
  • 2.2 Configure and use MCP servers → Q5
  • 2.3 Integrate agents with development environments → Q6
  • 2.4 Implement safe execution and error handling → Q7

Domain 3: Memory, Context, and State Management (19%)

  • 3.1 Implement agent memory strategies (ephemeral, session, persistent) → Q8
  • 3.2 Manage state persistence and detect context drift → Q9
  • 3.3 Maintain context continuity across tools and surfaces → Q10

Domain 4: Evaluating and Improving Agent Performance (19%)

  • 4.1 Define machine-verifiable success criteria → Q11
  • 4.2 Perform root cause analysis on agent failures → Q12
  • 4.3 Tune agent behaviour through instruction iteration → Q13

Domain 5: Multi-Agent System Design (17%)

  • 5.1 Design multi-agent orchestration patterns → Q14
  • 5.2 Implement observability in multi-agent systems → Q15
  • 5.3 Implement failure recovery in multi-agent systems → Q16
  • 5.4 Manage the agent lifecycle (provisioning, health, retirement) → Q17

Domain 6: Responsible Autonomy and Guardrails (9%)

  • 6.1 Classify tasks by appropriate autonomy level → Q18
  • 6.2 Implement guardrails and human-in-the-loop checkpoints → Q19

Grand Capstone

Part of: [[GH-600 Agentic AI Quick-Reference Notes]] · Related: [[Trial of the Agentic Codex: The Grand Capstone]] · Hub: [[The Agentic Codex: GH-600 Study Hub]]