{"product_id":"ai-agent-harness-optimize-your-claude-code-skills","title":"AI Agent Harness: Optimize Your Claude Code Skills","description":"\u003ch3\u003eAI Agent Harness: Optimize Your Claude Code Skills\u003c\/h3\u003e\n\n\u003cp\u003eThe AI Agent Harness skill is designed to assist developers and teams in fine-tuning system prompts, shaping tool descriptions, and deciding on the appropriate AI coding agent techniques. It aids in auditing existing agent systems and provides a structured approach to embedding or extending an AI agent harness using the Pi kernel.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eSupports writing or fixing system prompts to optimize agent communication.\u003c\/li\u003e\n    \u003cli\u003eShapes how tools are described so that the model selects the correct tool.\u003c\/li\u003e\n    \u003cli\u003eAssists in deciding between deploying a workflow or an agent based on task requirements.\u003c\/li\u003e\n    \u003cli\u003eFacilitates the choice between ReAct, reflection, and voting techniques for agent operation.\u003c\/li\u003e\n    \u003cli\u003eAids in auditing an AI agent system built by others, using tracks and evidence tiers instead of scores, and provides a comprehensive scanning feature.\u003c\/li\u003e\n    \u003cli\u003eIncludes a worked kernel implementation, Pi, for embedding or extending agent capabilities.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eDevelopers working on AI coding projects using platforms like Claude Code, Cursor, and Codex.\u003c\/li\u003e\n    \u003cli\u003eTeams looking to improve the functionality and efficiency of their AI agent systems.\u003c\/li\u003e\n    \u003cli\u003eProfessionals involved in prompt engineering and harness engineering.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eOptimizing an AI agent's decision-making process by refining system prompts and tool selections.\u003c\/li\u003e\n    \u003cli\u003eEvaluating and improving existing AI agent systems built by different stakeholders.\u003c\/li\u003e\n    \u003cli\u003eEmbedding an AI agent into a broader system using the SDK and RPC extension capabilities of the Pi kernel.\u003c\/li\u003e\n    \u003cli\u003eDeciding the most effective technique for agent interaction, whether through ReAct patterns or other workflows.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eUtilizes the Pi kernel implementation, which includes SDK and RPC extension seams for harness embedding or extension.\u003c\/li\u003e\n    \u003cli\u003eProvides triggers for enhancing prompt engineering and harness engineering, such as \"system prompt\" and \"tool description\".\u003c\/li\u003e\n    \u003cli\u003ePart of the agent-harness suite, focusing on the interaction layer between models and their orchestration.\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\u003essheleg\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/ssheleg\/agent-stack\" rel=\"nofollow noopener\" target=\"_blank\"\u003essheleg\/agent-stack\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":53019653046583,"sku":"MCP-SSHELEG-AGENT-STACK-AGENT-HARNESS","price":11.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/ujxcct4V1pvDCjU8p0ze__43c1a74b5a374b819bf5be154399836e.jpg?v=1789985398","url":"https:\/\/mcpcart.com\/products\/ai-agent-harness-optimize-your-claude-code-skills","provider":"SPF PRO","version":"1.0","type":"link"}