[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-82950":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":9,"languages":9,"totalLinesOfCode":9,"stars":10,"forks":11,"watchers":12,"openIssues":13,"contributorsCount":14,"subscribersCount":14,"size":14,"stars1d":14,"stars7d":12,"stars30d":15,"stars90d":14,"forks30d":14,"starsTrendScore":16,"compositeScore":17,"rankGlobal":9,"rankLanguage":9,"license":9,"archived":18,"fork":18,"defaultBranch":19,"hasWiki":20,"hasPages":18,"topics":21,"createdAt":9,"pushedAt":9,"updatedAt":22,"readmeContent":23,"aiSummary":24,"trendingCount":14,"starSnapshotCount":14,"syncStatus":16,"lastSyncTime":25,"discoverSource":26},82950,"micky-podcast-agentic-engineering","pawel-cell\u002Fmicky-podcast-agentic-engineering","pawel-cell","Micky podcast agentic engineering workflow bundle",null,110,41,4,1,0,8,2,4.87,false,"main",true,[],"2026-06-12 02:04:29","# Micky Podcast — Agentic Engineering Skills\n\nResources from David Ondrej's interview with Micky \u002F Michael Shimeles about serious AI building and agentic engineering.\n\nThese are packaged as real `SKILL.md` files, not loose prompts.\n\n## Skills\n\n1. [Agentic Engineering Workflow](skills\u002Fagentic-engineering-workflow\u002FSKILL.md)  \n   The full workflow: harness, context, structure, review loop, launch, and security.\n\n2. [Source Code as Agent Context](skills\u002Fsource-code-context\u002FSKILL.md)  \n   How to stop guessing from docs and make the agent reference actual package\u002Frepo code.\n\n3. [Code Structure Cleanup](skills\u002Fcode-structure-cleanup\u002FSKILL.md)  \n   Refactor repeated mechanics into reusable service-layer modules after a feature works.\n\n4. [Grep Loop Review Workflow](skills\u002Fgrep-loop-review-workflow\u002FSKILL.md)  \n   Small PR, AI\u002Fhuman review, fix feedback, run tests, repeat until merge-ready.\n\n## External Resource\n\n- [Michael Shimeles' public skills repo](https:\u002F\u002Fgithub.com\u002Fmichaelshimeles\u002Fskills\u002Ftree\u002Fmain)\n","Micky Podcast Agentic Engineering 是一个专注于构建高级AI代理工程技能的工作流包。该项目提供了从工作流设计到代码结构优化等一系列详细的技能指南，以`SKILL.md`文件形式呈现，涵盖了上下文建立、代码清理、审查循环等核心实践环节。它特别适合那些希望深入了解如何将AI集成到软件开发流程中，并希望通过系统化方法提升项目质量的开发者或团队使用。","2026-06-11 04:09:42","CREATED_QUERY"]