{"product_id":"optimize-ai-tasks-with-cloudml-eval-ops-for-claude-codex","title":"Optimize AI Tasks with CloudML Eval Ops for Claude \u0026 Codex","description":"\u003ch3\u003eOptimize AI Tasks with CloudML Eval Ops for Claude \u0026amp; Codex\u003c\/h3\u003e\n\n\u003cp\u003eThis skill enables developers to execute evaluation tasks using CloudML as an execution environment in conjunction with the Roboclaws Eval Harness. It supports bounded parallelism, integrates with JuiceFS for task data transfer, and reliably manages task receipts and retries.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\n\u003cul\u003e\n  \u003cli\u003eExecutes frozen Roboclaws Eval Harness rows on CloudML.\u003c\/li\u003e\n  \u003cli\u003eUtilizes official CloudML lifecycle commands for task management.\u003c\/li\u003e\n  \u003cli\u003eEnsures data transfer integrity through executor-backed JuiceFS operations.\u003c\/li\u003e\n  \u003cli\u003eProvides durable receipts for task tracking and accountability.\u003c\/li\u003e\n  \u003cli\u003eSupplies explicit evidence for retries and preemptions in task execution.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\n\u003cp\u003eThis skill is designed for developers and teams who utilize AI coding agents such as Claude Code, Cursor, and Codex to execute, manage, and refine complex evaluation tasks using CloudML. It is particularly useful for those working with parallel CPU, MuJoCo, Grounding DINO, or hybrid local\/cloud runs.\u003c\/p\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\n\u003cul\u003e\n  \u003cli\u003eRunning and monitoring complex AI model evaluations in a scalable cloud environment.\u003c\/li\u003e\n  \u003cli\u003eRefreshing and resuming AI evaluations as per project needs or new data availability.\u003c\/li\u003e\n  \u003cli\u003eCollecting and debugging evaluation results for further analysis and improvement.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\n\u003cul\u003e\n  \u003cli\u003eThe skill relies on the Roboclaws Eval Harness manifest for task input.\u003c\/li\u003e\n  \u003cli\u003eLeverages the installed `cml-shared`, `cml-resource`, and `cml-train` for contextual commands and management.\u003c\/li\u003e\n  \u003cli\u003eExecutor-backed operations are used for cross-platform interactions with JuiceFS and FDS.\u003c\/li\u003e\n  \u003cli\u003eEnvironment-specific configurations are maintained externally using CML\/executor settings.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c!-- mcpcart:static-blocks:start --\u003e\n\u003chr\u003e\n\u003ch3\u003eSource \u0026amp; Licence\u003c\/h3\u003e\n\u003cp\u003eThis package is built on open-source work published by \u003cstrong\u003eMiaoDX\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/MiaoDX\/roboclaws\" rel=\"nofollow noopener\" target=\"_blank\"\u003eMiaoDX\/roboclaws\u003c\/a\u003e) and distributed under \u003cstrong\u003eMIT\u003c\/strong\u003e. The original licence text and copyright notice are included in your download.\u003c\/p\u003e\n\u003cp\u003ePersonal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.\u003c\/p\u003e\n\u003cp\u003eYour purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.\u003c\/p\u003e\n\u003ch3\u003eDelivery \u0026amp; Support\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDelivery:\u003c\/strong\u003e instant — a secure download link is emailed to you as soon as payment is confirmed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e ZIP archive containing the skill files, documentation and the original licence.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupport:\u003c\/strong\u003e \u003ca href=\"mailto:support@mcpcart.com\"\u003esupport@mcpcart.com\u003c\/a\u003e — we aim to reply within 2 business days.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpdates:\u003c\/strong\u003e updates are included only where stated on this page.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eRefunds\u003c\/h3\u003e\n\u003cp\u003eThis is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.\u003c\/p\u003e\n\u003cp style=\"font-size:0.85em;color:#666;\"\u003eClaude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:end --\u003e","brand":"MCP Cart","offers":[{"title":"Default Title","offer_id":53014816686391,"sku":"MCP-MIAODX-ROBOCLAWS-CLOUDML-EVAL-OPS","price":4.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/lX4qCPakFLhCMD9SfTLHc_5685fd0247934268a08d3e045593a0ce.jpg?v=1789902818","url":"https:\/\/mcpcart.com\/products\/optimize-ai-tasks-with-cloudml-eval-ops-for-claude-codex","provider":"SPF PRO","version":"1.0","type":"link"}