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Add ML Pipeline to Development & Workflow #359

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Expand Up @@ -218,6 +218,7 @@ Third-party plugins built by the community. [PRs welcome](#contributing)!
- [Maestro](https://github.com/mbanderas/maestro) - Opt-in local multi-CLI fusion engine and orchestration doctrine that fans a prompt across model CLIs, then judges and synthesizes one grounded answer.
- [MailAgent](https://github.com/Alex0nder/MailAgent) - Temporary inboxes for Codex — OTP, magic links, signup QA, simulate-first autotests (23 MCP tools).
- [memi](https://github.com/sarveshsea/memi) - Interface understanding and design-system memory for Codex, Claude Code, Cursor, and MCP agents with UI audits, Tailwind token extraction, shadcn registry workflows, and a bundled Codex plugin.
- [ML Pipeline](https://github.com/jananthan30/ml-pipeline) - Enforces a strict 16-step data-first ML workflow — data inspection, EDA, and problem definition before any model training — with explicit user-permission gates, marimo notebooks, and matplotlib figures at every step; also works in Claude Code and Kimi.
- [Ontoly](https://github.com/0xsarwagya/ontoly-codex-plugin) - Deterministic Software Graph workflows for Codex: architecture review, dependency analysis, request tracing, configuration analysis, and impact analysis.
- [Open Dynamic Workflows](https://github.com/Suraj1235/open-dynamic-workflows) - Local-first MIT dynamic multi-agent workflows for Codex, OpenCode, Antigravity, Cursor, and VS Code with a daemon, MCP bridge, Codex skills, OpenCode plugin, and bring-your-own-model support.
- [Personal Data Protection](https://github.com/AltByteSG/personal-data-protection-skill) - Engineer-facing personal-data-protection compliance reference — Singapore PDPA, Thailand PDPA, Indonesia UU PDP, Malaysia PDPA (Act 709 + 2024 Amendments), Philippines DPA — organised by where in the stack each obligation lands, with checklists, breach-response runbook, and a developer-view divergence table across all five.
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