20 slide pages are live, one per talk slide.
Slide 01
Hook and Stakes
Open with the operational pain and why this matters now.
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Slide 02
Why a .github Control Plane
Explain why centralising standards in one .github repo was the first successful step.
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Slide 03
Inheritance Boundaries
Clarify what central .github can and cannot enforce by default.
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Slide 04
Control Plane Architecture
Visualise the architecture of governance data, workflows, and standards.
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Slide 05
Canonical Governance Assets
Show the concrete governance assets that made scaling possible.
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Slide 06
Why We Pivoted
Explain why centralisation alone was insufficient and why a plugin model emerged.
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Slide 07
Plugin Pack Architecture
Break down what sits inside a plugin pack and why it matters.
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Slide 08
Multi-Platform Parity
Explain manifest parity across Copilot, Claude Code, Codex, and Gemini.
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Slide 09
Quality and Release Gates
Show how validation, linting, and release workflows are enforced.
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Slide 10
Metrics and Governance Outcomes
Connect governance system design to measurable outcomes and accountability.
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Slide 11
Lessons and Anti-Patterns
Capture hard lessons and what to avoid when centralising governance and AI ops.
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Slide 12
Adoption Playbook
Close with a practical implementation sequence other teams can follow.
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Slide 13
Agent Layer
Explain how agent specifications structure operational automation.
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Slide 14
Skill Layer
Explain reusable skills as practical capability units.
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Slide 15
Hook Layer
Show hook-based guardrails and execution safety checks.
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Slide 16
Workflow Layer
Explain orchestration through GitHub workflows for daily operations.
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Slide 17
Issue Template System
Explain issue template strategy and structured intake.
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Slide 18
PR Template System
Show PR templates as quality and release-readiness checks.
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Slide 19
AI Governance Model
Explain policy, instruction hierarchy, and guardrails for AI-assisted delivery.
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Slide 20
Ecosystem and Acknowledgements
Close with adoption next steps and acknowledgement of open-source inspiration.
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