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gracker

@gracker source repo

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• 8 skills
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• 8 hours ago last updated

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   Gracker Deep Research · gracker bundle

   Gracker Deep Research Skill · 三阶段调研法（本地扫描 → 探索落盘 → 利用写作）。Phase 0 扫描本地优质资料，Phase 1 全力搜索并落盘，Phase 2 断网只读本地文件写报告 + Gracker 写作四层质检。触发词：「深度调研 XXX」/ 「Gracker Research XXX」/ 「dg XXX」。
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   Gracker Diagrams · gracker bundle

   Generate architecture diagrams, Mermaid-to-image redraws, and technical infographics. Four modes: (1) Whiteboard architecture — Excalidraw-like hand-drawn visual abstracts with low-saturation pastel accents, thick black outlines, orthogonal arrows, and optional Perfetto-style timeline tracks. Trigger: 画图, 架构图, 系统图, 模块关系, Mermaid 转图, 流程图, 时序图, 白板图. (2) Macaron infographic — hand-drawn educational infographic on warm cream paper with pastel rounded cards, wavy arrows, cartoon icons, vertical layout, and optional bottom summary. Trigger: 信息图, infographic, 单页摘要, 竖屏图, 长图, 知识总结图, 框架图, Skill 概览图. (3) Gracker infographic — no card borders, high text density, background color zones with hand-drawn connecting lines, minimal icons, warm cream paper. Optimized for technical content with rich detail. Trigger: gracker图, 技术信息图, 调研图, 深度信息图, 技术长图. (4) Gracker Xiaohongshu infographic — same Gracker visual language, split into two compact social-network cards for mobile reading without zooming. Trigger: 小红书风格, 小红书图, xhs, 社交图, 双
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   Gracker Resonance Writing · gracker bundle

   Use when writing or revising Chinese social posts, long-form articles, openings, threads, or Xiaohongshu copy for 共鸣写作、提高阅读兴趣、命名问题或威胁、镜像身份、情绪平衡 or 去 AI 味, especially when valuable material feels flat, abstract, anxiety-heavy, manipulative, or AI-templated.
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   Gracker Writing · gracker bundle

   技术文章写作与社交输出把关。适用于技术深度文章、工具实战复盘、FAQ/Q&A、方法论、公众号长文；也作为 X/Twitter、小红书、社交总结、定时任务可发布稿的文风和 AI 味把关门。触发词:写文章、写公众号、按我的风格写、社交草稿把关、AI味检查。
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   Perfetto Performance Analysis · gracker bundle

   Analyze Android, Linux, and Chromium Perfetto traces with local trace_processor_shell evidence. Use for startup, scrolling or jank, input latency, ANR, CPU scheduling, memory or GC, Binder or IO, GPU or SurfaceFlinger, power or thermal, rendering-pipeline identification, trace capture guidance, scene reconstruction, and single- or multi-trace performance comparison.
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   Android Memory Diagnose · gracker bundle

   Produce detailed, theory-grounded Android memory diagnoses from validated QA evidence, including reanalysis and supplementation of a prior conclusion. Use for Java/ART leaks, OOM/GC/resource warnings, native/Scudo/JNI growth, graphics/DMA-BUF memory, PSS/RSS/SwapPss accounting, system pressure, regressions, user dissatisfaction with an earlier analysis, changed or newly supplied artifacts, and requests that need facts, hypotheses, uncertainty, citations, and exact next evidence kept separate.
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   Android Memory Evidence · gracker bundle

   Validate, inventory, compare, and complete Android memory evidence before diagnosis. Use for a complete QA handoff folder, QA screenshots, Android logs, LeakCanary output, dumps and reports, missing or contradictory details, permission failures, requests asking what to collect next, and follow-up work where the user is dissatisfied with a prior analysis, requests a reanalysis or supplement, or adds, changes, or removes evidence.
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   Android Memory Remediate · gracker bundle

   Plan, implement, review, and verify Android memory code or configuration changes after evidence identifies an owner and mechanism. Use for fixing Java lifecycle leaks, caches, native/JNI allocations, DirectByteBuffer ownership, Bitmap/Surface/WebView resources, background work, memory budgets, or memory-related regressions while preserving architecture, unrelated worktree changes, and project-specific validation rules.
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