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azhi-ss

@azhi-ss source repo

35 published skills

  1. Ljg Word · azhi-ss
    Deep-dive English word mastery tool. Deconstructs a single English word into core semantics and epiphany. Use when user asks to explain/master a specific English word.
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  2. Orca Ticket Loop · azhi-ss
    Continuous one-ticket-per-context development loop: work one GitHub ticket to completion (claim → TDD → gates → code-review → commit → comment → close), then dispatch the next eligible ticket to a fresh Pi context in the active Orca worktree, never in the current session. Use when the user runs a ticket loop / ticket pipeline / continuous development (连续开发 / 按 ticket 开发 / 一票一上下文), says "next ticket", "ticket workflow", or when a dispatched prompt tells you to follow orca-ticket-loop. Never implements the next ticket in the current session; never invents protocol beyond this file.
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  3. Codex Ppt · azhi-ss bundle
    Generate visually unified image-based PPT/PPTX decks from articles, reports, papers, notes, or outlines.
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  4. Academic Repo Analyzer · azhi-ss bundle
    Analyze ML, AI4Science, Systems, and research repositories into an evidence-backed semantic architecture graph for paper figure planning. Code serves as supporting evidence; paper narrative and user intent remain the primary source of truth.
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  5. Academic Figure Designer · azhi-ss bundle
    Unified academic figure designer, semantic color & surface decision engine, and FigureSpec v1 compiler. Handles style selection, reference palette derivation, colorblind-safe token binding, SVMC visual metaphors, and normalized compact prose prompt compilation across classic-technical, pastel-airy-ui, illustrated-modular, and reference-led profiles.
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  6. Academic Figure Workflow · azhi-ss bundle
    Plan, generate, inspect, and refine academic figures from repositories, papers, draft notes, paper URLs, PDFs, or reference images. Supports fast-track draft-to-figure generation and user passthrough mode.
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  7. Academic Figure Draft Analyzer · azhi-ss bundle
    Plan evidence-backed figures for a paper draft, markdown notes, outline, manuscript, PDF, or paper webpage. Supports Draft-to-Figure fast-track for Markdown notes as well as comprehensive multi-figure planning for full manuscripts.
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  8. Academic Figure Architecture Extractor · azhi-ss bundle
    Extract semantic structure and transferable style grammar from academic figures, PDFs, and paper or figure URLs for analysis, redraws, or reference-conditioned generation. Do not use it for paper-text-only figure planning.
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  9. HTML Effectiveness · azhi-ss bundle
    让 agent 用单文件 HTML 替代 markdown 输出空间性、并行性、可比较或可交互的内容。当用户请求"对比/计划/评审/报告/解释器/幻灯片/编辑器/可视化"或当输出含并排选项、流程图、时间线、代码 diff、可交互元素、需要"指着某处说就是它"的场景时使用。本 skill 是路由器:先用决策框架判断是否走 HTML,再按 9 大类调度对应的子 skill(01-explore / 02-review / 03-design / 04-proto / 05-diagram / 06-slides / 07-research / 08-report / 09-editor),并复用 ../templates/*.html 与 shared/base.css 输出真实可运行的产物。
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  10. HTML Effectiveness Proto · azhi-ss
    子 skill — 原型与可点击流。当用户要决定一个 transition 的 duration/easing(动画沙盒,animation.html)或要"走一遍"4-6 屏交互流验证手感时使用。包含动画沙盒和可点击流两种范式。当父 skill 路由命中"动画/原型/手感/clickable flow"类请求时加载。
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  11. HTML Effectiveness Review · azhi-ss
    子 skill — 代码评审与理解。当用户要 PR 评审、PR 写作(作者侧)、或要理解陌生代码模块的请求路径/调用栈时使用。包含 PR 评审(diff.html)、PR 写作(pr.html)、模块图三种范式。当父 skill 路由命中"评审/PR/审阅/这段代码怎么工作"类请求时加载。
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  12. HTML Effectiveness Design · azhi-ss
    子 skill — 设计系统与组件展示。当用户要从 repo 提取 design tokens 做团队 reference、或要把一个组件的所有 variant 平铺在一张 contact sheet 上 review 时使用。包含设计系统参考(design-tokens.html)和组件变体陈列两种范式。当父 skill 路由命中"设计系统/design tokens/组件变体/展示组件库"类请求时加载。
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  13. HTML Effectiveness Slides · azhi-ss
    子 skill — 键盘控制幻灯片。当用户要"上去就能讲"的会议幻灯片、不想用 Keynote/PPT/Google Slides、希望单 HTML 文件左右键翻页时使用。当父 skill 路由命中"幻灯片/slide deck/做几张 slides/讲几页"类请求时加载。
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  14. HTML Effectiveness Report · azhi-ss
    子 skill — 周期性报告。当用户要写每周状态报告(status.html,KPI/已发货/速率/carryover)或事故 postmortem(postmortem.html,timeline/根因/影响/行动项)时使用。当父 skill 路由命中"周报/状态/status report/postmortem/事故/RCA"类请求时加载。
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  15. HTML Effectiveness Editor · azhi-ss
    子 skill — 自定义编辑界面。当用户要在 HTML 里做"操作然后导出"的小工具时使用——拖拽分类板(triage)、配置编辑器(feature flag editor,输出 diff)、Prompt 调参器(live preview,输出 prompt)。每个编辑器**必须**有"复制结果"按钮让 UI 状态回到 agent。当父 skill 路由命中"triage/排序/配置/调 prompt/编辑器小工具"类请求时加载。
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  16. HTML Effectiveness Explore · azhi-ss
    子 skill — 探索与规划。用户在多种实现方案/设计风格之间未决,或方案选定后要写工程版 RFC 时使用。包含三方案对比(compare.html)、视觉设计方向、实现计划(plan.html)三种范式。当父 skill html-effectiveness 路由命中"对比/选型/RFC/计划"类请求时加载。
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  17. HTML Effectiveness Diagram · azhi-ss
    子 skill — 插画与图表。当用户要博客/文档配图(SVG 插图集)、流程图、状态机、deploy pipeline(flowchart.html)时使用。所有图都用内联 SVG,不引外部库(mermaid/d3/excalidraw)。当父 skill 路由命中"图/diagram/flowchart/state machine/pipeline 可视化"类请求时加载。
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  18. HTML Effectiveness Research · azhi-ss
    子 skill — 研究与学习。当用户问"X 在这个 repo 里怎么工作"(特性解释器,含 TL;DR/折叠步骤/tab 代码/FAQ)或要解释抽象概念(concept.html,含交互式可视化)时使用。当父 skill 路由命中"解释/explain/教我/这是什么/learn"类请求时加载。
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  19. Ljg QA · azhi-ss bundle
    信息提问机。给一篇文章/论文/书,把核心观点抽成 Q-A 对——Question 切要害,不教科书;Answer 简洁清晰,有形式化收口,逻辑链完整。读者顺 Q 链走过,每个 A 砸下一枚钉子,复现作者整套推理。Use when user says '问答', 'Q&A', 'QA', '提问', '抽取问题', '/ljg-qa', or shares an article/paper/book and asks for Q-A extraction. Triggers when the user wants ideas extracted not as a summary but as a sequence of incisive questions with answered. NOT FOR FAQ generation, glossary creation, or comprehension quizzes — this is intellectual scaffolding, not study aids.
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  20. Ljg Card · azhi-ss bundle
    Content caster (铸). Transforms content into PNG visuals. Seven molds: -l (default) long reading card, -i infograph, -m multi-card reading cards (1080x1440), -v editorial sketchnote (problem→failure→pivot→insight→naming, magazine + archive layout), -c comic (manga-style B&W), -w whiteboard (marker-style board layout), -b big-fonts attachment card (1080x1440, weathered 碑刻 style for 小红书). Output to ~/Downloads/. Use when user says '铸', 'cast', '做成图', '做成卡片', '做成信息图', '做成海报', '视觉笔记', 'sketchnote', '杂志', 'editorial', '漫画', 'comic', 'manga', '白板', 'whiteboard', '大字', '附件图', 'big fonts', '小红书卡片'. Replaces ljg-cards and ljg-infograph.
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  21. Ljg Push · azhi-ss bundle
    把 ~/.claude/skills/ljg-* 里所有更新过的 skills 同步到 github repo (ljg-skills),先推 master 分支(org-mode 输出风格),再切 md 分支(markdown 输出风格)做基础 markdown 化后推。Use when user says '/ljg-push', 'push skills', '推送 skills', '同步 skills', 'sync ljg', or whenever ljg-* skills get updated and need shipping. NOT FOR pushing non-ljg skills or arbitrary git repos.
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  22. Ljg Rank · azhi-ss bundle
    给一个领域,找出背后真正撑着它的几根独立的力。十几个现象砍到不可再少的生成器——砍完能把现象一个个生回来,才算数。Use when user says '降秩', '找秩', '秩是什么', '这个领域靠什么撑着', '背后是什么', or wants to decompose any domain to its irreducible generators.
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  23. Ljg Learn · azhi-ss
    Deep concept anatomist that deconstructs any concept through 8 exploration dimensions (history, dialectics, phenomenology, linguistics, formalization, existentialism, aesthetics, meta-philosophy) and compresses insights into an epiphany. Use when user asks to explain, dissect, or deeply understand a concept, term, or idea. Triggers on '解剖概念', '概念解剖', 'explain concept', 'learn concept', '/ljg-learn'. Produces self-contained HTML output.
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  24. Ljg Paper · azhi-ss bundle
    Paper reader for non-academics. Takes a paper and extracts its ideas for personal use. Focuses on understanding, not academic critique. Use when user shares an arxiv link, paper URL, PDF, or asks to analyze a research paper. Trigger words: '读论文', '分析论文', 'paper', or when user shares an academic paper.
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  25. Ljg Plain · azhi-ss
    Cognitive atom: Plain (白). Rewrites any content so a smart 12-year-old groks it. Structure-free — form follows content. Use when user says '白话说', '说人话', '解释一下', 'plain', 'grok'.
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  26. Ljg Think · azhi-ss
    追本之箭——纵向深钻思维工具。给一个观点、现象或问题,像箭一样一路向下钻到不可再分的本质。Use when user says '想透', '追本', '本质是什么', '为什么会这样', '深挖', '钻到底', 'think deep', 'drill down', or wants to trace any idea/phenomenon vertically to its irreducible root. Also trigger when user provides a statement and wants depth analysis, not breadth survey.
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  27. Ljg Invest · azhi-ss
    投资分析, 生成一份深度投资分析报告。不做传统投资分析——核心判断是项目是否是一台「秩序创造机器」。Use when user says '投资报告', '投资分析', '分析这个项目', '写投资报告', 'investment report', 'invest analysis', or provides entrepreneur conversation records wanting investment evaluation. Also trigger when user pastes or references meeting notes, pitch decks, or founder interviews and asks for analysis.
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  28. Ljg Travel · azhi-ss
    Deep travel research workflow for museums and ancient architecture. Input a city name, auto-generates structured knowledge document (org-mode) + portable reference cards (PNG). Covers historical background, museum highlights, archaeological significance, and architectural heritage. Use when user says '旅行研究', '博物馆功课', '古建功课', 'travel research', '出发前功课', or provides a city name with intent to do deep cultural travel preparation.
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  29. Ljg Writes · azhi-ss
    写作引擎。像手术刀剖开一个观点,一层层剥到底。1000-1500 字。
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  30. Ljg Present · azhi-ss bundle
    演讲铸造器(Outline-Faithful)。基于 orgmode/markdown outline 层级 1:1 视觉化呈现——色块大字、ultra-bold 错位,原文不动只做美化。三档主题色 black/red/yellow(默认 black 或按 filetags 推断),可用 -r/-b/-y 显式覆盖;可用 --cyber 走黑底绿字 cyber-hacker 风。使用时用户会说:'讲这个'、'present'、'做成演讲'、'呈现一下'、'铸成演示'、'做个 slides'、'标语流'、'宣言体'、'slogan'、'manifesto'、'按 outline 美化'。输出单文件 HTML 到 ~/Downloads/。
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  31. Ljg Skill Map · azhi-ss bundle
    Skill map viewer. Scans all installed skills and renders a visual overview — name, version, description, category at a glance. Use when user says 'skills', '技能', '技能地图', 'skill map', '我有哪些技能', '看看技能', '列出技能', 'list skills'. Also trigger when user asks what skills are available or installed.
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  32. Ljg Word Flow · azhi-ss
    Word flow: deep-dive word analysis + infograph card in one go. Takes one or more English words, runs ljg-word (generates deep semantics analysis) then ljg-card -i (generates infograph PNG). Use when user says '词卡', 'word card', 'word flow', or provides English words wanting both analysis and visual card.
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  33. Ljg Paper Flow · azhi-ss
    Paper workflow: read papers + cast cards in one go. Takes one or more arxiv links, paper URLs, PDFs, or paper names. For each paper, runs ljg-paper (generates org analysis) then ljg-card -v (generates visual sketchnote PNG). Use when user says '论文流', 'paper flow', '读论文并做卡片', '论文卡片', or provides multiple papers wanting both analysis and cards.
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  34. Ljg Roundtable · azhi-ss bundle
    Structured roundtable discussion framework with a truth-seeking moderator who invites representative figures for dialectical debate on any topic. Use when user says "圆桌讨论", "圆桌", "roundtable", "辩论", or wants to explore a topic through multi-perspective structured debate.
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  35. Ljg Paper River · azhi-ss bundle
    论文倒读法:给一篇论文,递归找出它批判和改进的前序论文(最多5层),再找它之后的最新进展,从源头正向讲述问题演化史。以问题为轴,费曼式讲解每篇论文看到的问题和解法创新。Use when user shares a paper and wants to understand its intellectual lineage, citation chain, problem evolution, or says '倒读', '论文溯源', '论文脉络', 'paper river', 'paper connects', 'trace back', '这篇论文的来龙去脉', '论文演化'. Also trigger when user wants to understand how a research problem evolved across multiple papers.
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