{"product_id":"advanced-ai-skill-pi05-libero-for-claude-code","title":"Advanced AI Skill: pi05-libero for Claude Code","description":"\u003ch3\u003eAdvanced AI Skill: pi05-libero for Claude Code\u003c\/h3\u003e\n\n\u003cp\u003eThe pi05-libero is an advanced AI skill specifically designed for use with Claude Code. It executes a closed-loop Visual-Lift-Actuate (VLA) policy utilizing the openpi π0.5 LIBERO checkpoint to perform dexterous pick-and-place tasks on rigid LIBERO objects using a Franka Panda robot. This skill is optimized for precise, table-top object manipulation, leveraging wrist and agentview cameras to guide the robot's actions within a predefined observation and action space.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eOperates as a closed-loop VLA policy for pick-and-place tasks.\u003c\/li\u003e\n  \u003cli\u003eUses the π0.5 LIBERO checkpoint to guide the Franka Panda in LIBERO's OSC_POSE action space.\u003c\/li\u003e\n  \u003cli\u003eManages action execution within a loop that reads from a graph-scoped observation stream.\u003c\/li\u003e\n  \u003cli\u003eTerminates tasks based on specific triggers, such as gripper cycle, visual-linguistic model check, or a maximum number of observation windows.\u003c\/li\u003e\n  \u003cli\u003eIntegrates seamlessly within the task environment, maintaining native action space commands without needing translation.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eDevelopers and teams utilizing AI coding agents like Claude Code, Cursor, or Codex.\u003c\/li\u003e\n  \u003cli\u003eRobotics researchers and engineers focusing on automation of routine pick-and-place tasks.\u003c\/li\u003e\n  \u003cli\u003eAI specialists interested in deploying learned policies in practical robotic applications.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eAutomating pick-and-place operations in assembly lines and laboratory environments.\u003c\/li\u003e\n  \u003cli\u003eResearch on AI-driven robotics for handling rigid objects in controlled settings.\u003c\/li\u003e\n  \u003cli\u003eDemonstrations and prototypes of AI capabilities in automated object handling tasks.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eDriven by the openpi π0.5 LIBERO checkpoint, encapsulating the skill's entire policy.\u003c\/li\u003e\n  \u003cli\u003eAction space configuration: Delta OSC_POSE with `[Δx, Δy, Δz, Δrx, Δry, Δrz, gripper]` commands.\u003c\/li\u003e\n  \u003cli\u003eExecution via `gap.runtime.policy.run_policy_loop` with policy server preset integration.\u003c\/li\u003e\n  \u003cli\u003eUtilizes `PolicyExecutor` to resolve and cache websocket client connections automatically.\u003c\/li\u003e\n  \u003cli\u003eOperates exclusively with the Franka Panda embodiment in LIBERO\/robosuite environments.\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\u003egraph-robots\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/graph-robots\/open-robot-skills\" rel=\"nofollow noopener\" target=\"_blank\"\u003egraph-robots\/open-robot-skills\u003c\/a\u003e) and distributed under \u003cstrong\u003eApache-2.0\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 under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be 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":52980527694135,"sku":"MCP-GRAPH-ROBOTS-OPEN-ROBOT-SKILLS-PI05-LIBERO","price":14.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/4zhYvwWJO3j_VzJdJ50a5_b17d01ad763f406aa0b8b578d88dd7f8.jpg?v=1789211633","url":"https:\/\/mcpcart.com\/products\/advanced-ai-skill-pi05-libero-for-claude-code","provider":"SPF PRO","version":"1.0","type":"link"}