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MalkukuMalkuku/skills/ai-slop-cleaner/SKILL.md

ai-slop-cleaner

Skill1 starsChanged 2 months agoNo licenceView on GitHub

审计并清理已有代码库中的 AI slop、重复职责、旧机制残留、死代码和无职责抽象，并维护用户可审阅的垃圾代码清单。Use when 用户要求 deslop、清理屎山、治理历史代码、删除旧实现，或怀疑多轮 Agent 修改已经产生重复逻辑、兼容层和权威路径分裂。

10 other projects use a version of this.

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Projects with it also use visual-verdict, hud and 6 more.

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  • LucasCooperBeySkill

    visual-verdict

    Structured visual QA verdict for screenshot-to-reference comparisons. Returns JSON scores driving edit iterations. Use after any UI implementation to verify visual fidelity.

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  • ibahgatSkill

    hud

    Control omi visual HUD profile and keep status output readable in normal, compact, or hidden mode.

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  • Yeachan-HeoSkill

    ultragoal

    Create and execute durable repo-native multi-goal plans over Codex goal mode artifacts.

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  • markmdevSkill

    self-improve

    Analyze Claude Code sessions to find workflow frictions, underused tools, stale instructions, documentation gaps, and opportunities for new skills or automation. Produces actionable improvement suggestions with prioritized recommendations. Use when the user says "self-improve", "analyze my workflow", "what can we improve", "find frictions", "optimize workflow", or asks about improving their Claude Code setup. Also suggest running this after long sessions, multi-session projects, or when the user seems frustrated with repetitive work.

    Also in 4 projects that use this

  • dubwoahSkill

    ask

    Answer questions about the codebase without generating or modifying any code. Use when the user wants to understand how something works, find where something is defined, or explore the project structure. Invoked with /ask.

    Also in 3 projects that use this

  • GitHubSkill

    autoresearch

    Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy''s autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric.

    Also in 3 projects that use this

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