Open-source Claude Code plugin simulates Chief Data & AI Office with 22 specialized agents
What it does
The AI CDAIO Office is an open-source Claude Code plugin that simulates a complete Chief Data & AI Office using 22 specialized AI agents. It generates actual files (PPTX, DOCX, XLSX) rather than just markdown, with a Quality Reviewer agent that validates outputs against McKinsey/BCG/Bain presentation standards.
Installation and commands
Install with: claude plugin install ai-cdo-office
Available commands include:
/cdaio:strategy- Full AI strategy document + investment case + 20-slide PPTX/cdaio:board-prep- Board meeting materials with KPI scorecard/cdaio:governance- Governance framework, RACI matrix, compliance checklist/cdaio:assess- 6-dimension maturity assessment with gap analysis/cdaio:architecture- Architecture diagrams and technology roadmap/cdaio:first-90-days- Complete CDAIO onboarding plan- ...and 14 more commands
Example output
The /cdaio:strategy command generates:
- 42-page AI strategy document
- 18-page maturity assessment
- 12-page use case portfolio (15 use cases scored)
- 10-page architecture blueprint
- 8-page investment case with ROI modeling
- 20-slide board presentation
Multi-agent architecture
The 22 agents are organized like a real CDAIO office:
- Board of Directors (oversight)
- CDAIO Orchestrator (routes work)
- Industry Advisory Panel (5 sector-specific advisors: FinServ, Healthcare, Industrial, Public Sector, Retail & Tech)
- Operations team (Chief of Staff, Comms, PM, Stakeholder Relations)
- Data Governance division (Head, Steward, Custodian, Compliance & Privacy)
- AI & Analytics division (Head, Architect, Engineer, ML Lead, Use Case Lead, Analyst)
- McKinsey Quality Reviewer (QA gate)
Agents debate, draft, review, and refine outputs rather than relying on a single LLM generating text.
Background and licensing
The plugin addresses the problem that Chief Data & AI Officers spend weeks producing strategy decks, governance frameworks, and board materials, leaving little time for actual strategy execution. According to the source, average CDAO tenure is 2.4 years, with Gartner warning 75% risk losing their seat and half unable to measure their own impact.
The project is MIT licensed and available on GitHub. The creator has been advising Chief Data & AI Officers for years and developed this tool to automate document generation tasks.
📖 Read the full source: r/ClaudeAI
👀 See Also
Claude Code's Official Telegram Plugin: Setup Notes and Migration from OpenClaw
A developer migrated from OpenClaw to Claude Code's official Telegram integration, documenting the setup process and creating an open-source migration skill. The integration connects via BotFather tokens and offers better token efficiency and cleaner communication.
re_gent: Git for AI Coding Agents – Version Control for Agent Activity
re_gent is an open-source tool that provides version control for AI agent sessions, tracking every tool call, storing prompts and file diffs, and enabling commands like `rgt log`, `rgt blame`, and `rgt rewind` (coming soon).
ToolLoop: Open-Source Agent Framework for Claude-Style Tools with Any Model
ToolLoop is an open-source Python framework with 11 tools for file operations, code search, shell access, and sub-agents that works with any LLM through LiteLLM. The 2,700-line framework allows switching models mid-conversation with shared context.
Qwen 3.6 27B hits 2.5x speed with MTP speculative decoding on llama.cpp
A Reddit user reports 2.5x faster inference on Qwen 3.6 27B using MTP speculative decoding with a custom llama.cpp PR, achieving 28 tok/s on Mac M2 Max 96GB. Includes pre-converted GGUF quants and fixed chat templates.