{"product_id":"autonomous-ai-iteration-optimize-fat_llama-code-audio","title":"Autonomous AI Iteration: Optimize Fat_Llama Code \u0026 Audio","description":"\u003ch3\u003eAutonomous AI Iteration: Optimize Fat_Llama Code \u0026amp; Audio\u003c\/h3\u003e\n\n\u003cp\u003e\nThis AI agent skill automates the iterative process to optimize and refine the code and audio quality of the fat_llama project. It effectively handles the full cycle of refreshing, testing, code generation, and deployment processes specific to the fat_llama codebase, ensuring that upscaling compressed audio outputs meet the desired standards of quality.\n\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003ePeriodically refreshes the current state of fat_llama and analyzes it using the review-current-state factblock.\u003c\/li\u003e\n    \u003cli\u003eInitiates the test-fat-llama process to identify areas of improvement in code and audio quality.\u003c\/li\u003e\n    \u003cli\u003eDeploys a code generation step via generate-code to address discovered issues, iteratively improving the outcome up to a maximum of five cycles.\u003c\/li\u003e\n    \u003cli\u003eAssesses audio quality at each iteration; maintains the state from the cycle with the best score if none is fully satisfactory.\u003c\/li\u003e\n    \u003cli\u003eAutomatically regenerates documentation, increments the version, and prepares a pull request (PR) for review.\u003c\/li\u003e\n    \u003cli\u003eEnsures compliance with project-specific rules and guidelines as per the `iterate-fat-llama.md`, `scope-and-safety.md`, and `project-mission.md` documents.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cp\u003e\nThis skill is designed for developers and engineering teams who are utilizing AI coding agents like Claude Code, Cursor, or Codex for code iteration and deployment tasks. It supports those working within environments where audio processing and quality assurance are priorities, particularly in the UK market.\n\u003c\/p\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eAutomating the code review and audio quality improvement processes for projects focused on audio compression and upscaling.\u003c\/li\u003e\n    \u003cli\u003eSupporting development teams in reducing manual effort by managing iteration cycles robustly.\u003c\/li\u003e\n    \u003cli\u003eCreating streamlined workflows for maintaining consistent audio quality through iterative enhancement.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eUtilizes tools like anthropic and aiapplication for code analysis and improvement.\u003c\/li\u003e\n    \u003cli\u003eInteracts with the repository to open, refresh, and iterate upon state-specific factblocks and test results.\u003c\/li\u003e\n    \u003cli\u003eExecutes within defined filesystem write scopes and safety boundaries as established in the configuration files.\u003c\/li\u003e\n    \u003cli\u003eIntegrates seamlessly with GitHub for automated pull request generation and version management.\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\u003ebkraad47\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/bkraad47\/fat_llama_fftw\" rel=\"nofollow noopener\" target=\"_blank\"\u003ebkraad47\/fat_llama_fftw\u003c\/a\u003e) and distributed under \u003cstrong\u003eBSD-3-Clause\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 copyright notice and disclaimer are retained and the original authors are not used to endorse derived work.\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":52971140645175,"sku":"MCP-BKRAAD47-FAT-LLAMA-FFTW-ITERATE-FAT-LLAMA","price":33.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/KZhZx1egZn_W4yFaqS_xY_0f42192579c24486a5fdf6aadb786c08.jpg?v=1789031196","url":"https:\/\/mcpcart.com\/products\/autonomous-ai-iteration-optimize-fat_llama-code-audio","provider":"SPF PRO","version":"1.0","type":"link"}