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zly2006

@zly2006 source repo

13 published skills

  1. Mixin Injection Point Discovery · zly2006
    Locate robust Mixin injection points from unobfuscated Minecraft jars by reading bytecode signatures with javap and validating method ownership, descriptors, and event semantics. Use when implementing or fixing Fabric mixins, especially in 26.1 versions where mappings may differ.
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  2. Zhihu Python CLI · zly2006 bundle
    Use the Python Zhihu Open Platform CLI to search Zhihu or the web, inspect hot topics, call Zhihu Answer, read the current account's creations and favorites, and generate a yearly input/output knowledge-atlas HTML report. Trigger for Zhihu Python CLI setup, environment or .env authentication, collection archaeology, annual knowledge reports, knowledge constellations, and Agent-oriented JSON workflows.
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  3. UI Test · zly2006 bundle
    Zhihu++ LLM 自动化 UI 测试。使用 testTag 系统精准定位 Compose 元素并交互,替代硬编码坐标的 adb tap。提供已知 tag 列表、文字内容点击、截图验证等能力。适用于:功能验证、UI 回归测试、自动化交互流程。
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  4. Picky User · zly2006 bundle
    以 subagent 启动的 UI 挑剔用户评审。Use when the user, AGENTS, or the current task requires “挑剔的用户”. 该 skill 会分别扮演新用户与老用户,对界面的 self explain、明确性、直觉性、效率、布局和操作习惯提出高标准意见;默认给出 5-10 条有效建议,必要时结合 ui-test 与截图检查,并把意见记入 .memory/YYYY-MM-DD/picky-user。
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  5. Zhihu Reproduce · zly2006 bundle
    复刻或验证知乎的产品功能、交互、接口、字段、分页、创作流程和视觉行为,并落地到 Zhihu++。当需求包含“知乎有什么我全要”、官方行为对齐、API 字段/include 判断、Web 与 Android 差异、真实请求取证或协议稳定性时使用。
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  6. Github Pr Assets · zly2006 bundle
    Manage screenshots and other visual assets for GitHub pull requests. Use when a PR body needs real screenshots, when local /tmp paths must be replaced with durable links, when deciding whether GitHub web drag-and-drop uploads can be reproduced with gh api, or when updating a PR without disturbing the user's browser tabs.
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  7. Launch On Device · zly2006 bundle
    Build, install, and launch the Zhihu++ Android app on a connected device using ADB. Includes comprehensive troubleshooting for common issues like missing devices, installation failures, signature mismatches, and app crashes. Use when deploying debug builds to physical devices or emulators.
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  8. Release Latex Fork · zly2006
    Release the LaTeX fork used by Zhihu++. Use when merging the latest huarangmeng/latex release into zly2006/latex, preserving approved fork deltas, publishing Maven Central artifacts, updating Zhihu's vendored third_party/markdown and direct LaTeX dependencies, and verifying the app.
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  9. Background UI Debug · zly2006 bundle
    在不创建、激活或切换任何前台窗口的前提下,通过项目的 debug-only 离屏 Compose UI 控制接口检查语义树、点击、输入、滚动、等待和截图。适用于 macOS Kotlin/Native UI 回归、页面卡死、导航完成度和逐按钮验收;禁止用 AppleScript、System Events、open、桌面截图或坐标点击替代。
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  10. Zhihu Pp AI Slop Cleaner · zly2006 bundle
    Use for Zhihu++ maintenance work that scans Kotlin main sources for low-call functions, structurally similar function bodies, dead code, pure forwarding wrappers, pointless abstractions, repeated helpers, and cross-platform duplicate glue before refactoring or PR cleanup. Trigger when the user asks to clean AI slop, remove low-call wrappers, find similar or duplicated code, review duplicated helper functions, or audit functions with call count at most 2 in /Users/zhaoliyan/IdeaProjects/Zhihu.
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  11. Zhihu Parallel Pr Workflow · zly2006 bundle
    Coordinate Zhihu++ issue implementation and pull requests when the user explicitly asks for subagents or when multiple independent issues or scopes have real parallel value. Covers issue trust gates, isolated worktrees, ownership-aware process handling, build and AVD validation, review, Chinese PR publication, and final evidence. Do not use merely because one narrow issue needs one PR.
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  12. Zhihu Instrument Test Governance · zly2006 bundle
    Audit, add, migrate, or remove Zhihu++ Android instrument tests under app/src/androidTest. Use for instrument-test cleanup, flaky device-test reduction, regression-test provenance, deciding whether a UI test belongs on an emulator, or reviewing a PR that changes permanent Android instrument coverage.
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  13. Zhihu Performance Regression Review · zly2006 bundle
    Review and fix Zhihu++ functional regressions caused by performance optimizations. Use when a change trades correctness, selection, rendering, scrolling, navigation, or state completeness for laziness, caching, recycling, batching, deferred work, or reduced data structures; also use when deciding whether restoring older behavior would really regress performance. Requires cache-lifetime analysis, real-path staged benchmarks, functional regression coverage, and before/after evidence before implementation or PR delivery.
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