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leoluyi

@leoluyi source repo

27 published skills

  1. Eli5 · leoluyi bundle
    Explain a topic to someone who knows nothing about it, as a single-file HTML picture explainer: big visuals, very few words, no jargon. Trigger on /eli5 <topic>, 「用五歲小孩聽得懂的方式解釋」, 「幫我做一個超簡單的圖解說明」, "explain X like I'm 5", or "make me a dead-simple picture explainer of X". Not for plain-language rewrites of existing prose (plain-speak), dense information graphics for informed readers (infographic-design), slide decks, or accurate technical documentation.
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  2. Mece · leoluyi bundle
    MECE problem decomposition and document restructuring: clarify categories, content ownership, overlaps, and gaps. 拆解問題、重整文件架構。
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  3. Options · leoluyi bundle
    Re-surface whatever direction decision is currently pending as tappable multiple-choice instead of prose, then keep doing that for the rest of the session before any architecture, library, data-model, scope or sequencing call. Invoke it when tired of typing answers to open questions: 「用選項給我選,不要問答題」, 「以後有決策就給我選項」, "give me options instead of questions", "make that clickable", "stop asking me open-ended questions". Options are labelled by outcome with the trade-off named in one line, recommended one first, mutually exclusive, and combinations pre-enumerated so one click settles it. Never fires on its own — it changes how the whole session asks, so the user must ask for it by name.
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  4. Autopilot · leoluyi bundle
    Run an entire established plan to completion autonomously — orchestrate subagents, self-repair within a bounded attempt budget, pass a verification gate, then commit, push and open a ready PR without checking back in between steps. Invoke it explicitly when handing over a whole job: "run the whole plan", "take it from here and open a PR", 「照計畫跑完,不用問我」, 「全部做完再回報」. It suspends the ask-first / confirm-alignment rules for the duration of the run and batches every decision into a final report. Never fires on its own — the user must ask for it by name, because it commits and pushes without confirmation.
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  5. Breakdown · leoluyi bundle
    Before recommending, exhaustively lay out every case, separate facts from inferences, list exclusions, and isolate decisions only the user can answer; then stop and wait. Trigger on 「先把所有情況攤開給我看」, 「不要先給結論」, 「幫我拆解這個決定」, "lay out every case first", or "don't recommend yet - decompose it". Route immediate option selection to options, joint unknown exploration to discuss-with-me, and settled lookups to ordinary research.
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  6. Learn Loop · leoluyi bundle
    Leo 的結構化學習迴圈(先教後考 + 來源查證),把一個新概念精煉成 Obsidian vault 的知識結晶。 僅在 Leo 明確叫用(Claude Code `/learn-loop`、Codex `$learn-loop`,或明說「跑 learn-loop 流程學 X」)時啟動; 不要因為對話中提到想了解某事就自動觸發 —— 這是刻意的、會佔用整段對話的六步互動流程。
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  7. Deck Writer · leoluyi bundle
    Plan and write a complete presentation as slide-by-slide Markdown, including the deck brief, narrative outline, assertion-style titles, full on-slide copy, evidence, tables, chart specifications, and speaker notes. Use when the user asks to 規劃簡報內容、寫投影片文案、整理簡報大綱、把主題拆成幾頁, or turn source material into a presentation-ready content deck. Do not invoke for producing a .pptx or rendered slides, visual styling, reviewing an existing deck one issue at a time, or general long-form documents.
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  8. Plain Speak · leoluyi bundle
    Translate technical terms, code, errors, or dense engineering text for non-technical readers; review or re-explain a plain-language draft, preceding answer, or pending question. Trigger on 「白話文」, 「翻成人話」, 「用白話解釋」, 「講人話」, "explain in plain language", "explain like I'm a PM", or "is this clear enough for a PM". Reply in the user's language. Route AI-ism cleanup to humanizer-zh, whole formal documents to formal-doc-structure, RFPs to rfp-writing, and deep technical explanation or implementation elsewhere.
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  9. Rfp Writing · leoluyi bundle
    Write or review technical RFP documents from the issuer's perspective in Traditional Chinese (需求規格書 / 需求規劃書 / 招標規格), enforcing structural rules for redundancy elimination, appendix bloat, thin-section consolidation, and formal plain-language style. Manual trigger only — invoke by name when the user explicitly asks for an RFP; do not invoke for migration plans, runbooks, ADR/ARB, design docs, meeting minutes, vendor-side bid proposals (投標提案 / RFP responses), or general formal Chinese writing — those conventions conflict with RFP rules.
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  10. Goal Definer · leoluyi bundle
    Turn a vague long-running task into six fields: Outcome, Verification, Constraints, Boundaries, Iteration Policy, and Blocked Stop Condition. Use when the user wants an agent-runnable goal for hours or overnight, such as 「我想讓 agent 幫我跑一個長任務,但我還講不清楚」 or 「幫我把這個任務寫成 agent 可以自己跑的目標」. Interview one field at a time until completion is independently verifiable. Route existing plans to plan-to-goal, plan authoring to plan mode, and small tasks to ordinary prompting.
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  11. Humanizer Zh · leoluyi bundle
    Audit or rewrite finished Traditional Chinese, English, or mixed zh/en prose to remove AI-isms while preserving facts, voice, and technical level. Trigger on 「去 AI 味」, 「改成人話」, 「先標出來就好,不用改」, "clean up the AI-isms", detect-only, edit-in-place, or humanizer-zh/preflight requests. With no draft, mode, or file, prepare the pre-draft handoff. Route blank-page composition to writing skills and audience simplification to plain-speak.
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  12. Plan To Goal · leoluyi bundle
    把既有粗略計畫補成可自動執行的 goal spec,包含完成條件、限制與停止條件。 Turn an existing rough plan into a bounded goal spec for autonomous execution.
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  13. Visual Craft · leoluyi bundle
    設計或重新上樣式結構化視覺化作品:先判定 generate 或 edit;edit 保留指定的既有內容, generate 從文字需求建立新圖,並套用 canvas composition 原則。 使用者要求「幫我設計一張圖」「產出架構圖」「畫流程圖」、 「幫我把這張圖的樣式調一調」「換個配色」「這幾張圖要看起來一致」時使用。 輸入可為 SVG、PPTX、Mermaid、圖片、節點與關係條列,或只有主題與需求。
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  14. Obsidian Vault · leoluyi bundle
    Search, create, and manage notes in the Obsidian vault with wikilinks. Use when user wants to find, create, or organize notes in Obsidian.
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  15. Blog Writing Zh · leoluyi bundle
    將主題、筆記或外文素材寫成有人味的台灣繁體中文部落格文章或電子報。 Write or rewrite a Taiwan Traditional Chinese blog post or newsletter from a topic, notes, or foreign-language source.
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  16. Deck Consulting · leoluyi bundle
    Consult on a presentation the way a senior advisor would, one node at a time — positioning, structure, condensation, headlines, storyline, opening, closing, delivery, layout — with each node's artifact written to disk so later nodes build on earlier ones instead of restarting from the raw material.
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  17. Discuss With Me · leoluyi bundle
    Explore decisions or ideas when the answer is genuinely unknown to both user and agent, including assumption testing, falsifier search, and red-teaming. Trigger on 「陪我想一下」「幫我挑戰這個想法」「壓力測試一下這個方向」, "think this through with me", "poke holes in this", or requests to test what would overturn a converging conclusion. Not for settled write-ups, teaching known concepts, factual lookup, debugging, or code review.
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  18. Taste Distiller · leoluyi bundle
    Distill repeated rejected or revised AI outputs into a reusable Taste Profile with a Markdown scoring rubric and evaluator-ready JSON. Trigger on 「把我改 AI 稿的標準整理成 rubric」, "turn my edits into a style rubric", or requests to interview the user and extract why they keep rejecting AI output. Not for autonomous agent goal specs, code review, 「去 AI 味」, editing a specific draft, or generating content in the user's style.
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  19. Briefing Outline · leoluyi bundle
    Distill one long report or multiple source documents into a high-altitude 說明提綱 that shows the whole and points down for detail. Trigger on 「整理/撰寫說明提綱」, "briefing outline", a source-based briefing for a 主管 or 委員會, a one-page executive overview of a long report, or re-syncing a 提綱 after source changes. Not for drafting a formal document or RFP, explaining one concept, or language-only cleanup.
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  20. Visual Output QA · leoluyi bundle
    Review rendered visual artifacts against one shared delivery standard. Use after producing or materially editing SVG, browser-rendered HTML, exported graphics, PPTX, PDF, or other fixed-layout visual output, and when the user asks to 檢查爆版、裁切、碰撞、字型、缺字、對比或交付品質. Do not invoke for choosing a visual style, writing slide content, or reviewing prose without a rendered artifact.
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  21. Fourth Wall Repair · leoluyi bundle
    偵測或移除正文中談論文件本身、文件來源、文件間接縫、閱讀路徑、頁面角色或委託脈絡的文字,同時保留必要導覽、來源引用與實際操作指示。
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  22. Infographic Design · leoluyi bundle
    Design or review explanatory graphics as SVG or single-file HTML: infographics, 資訊圖表, 懶人包, 圖解, one-pagers, visual summaries, timelines, comparisons, process explainers, learning recaps, and figures for documents. Route standalone charts, dashboards/BI, slide decks, syntax cheatsheets, knowledge documents, and exact-scale data charts elsewhere; plain-language explanations go to plain-speak. Explicit infographic requests qualify even when data is precise.
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  23. Avoid China Writing · leoluyi bundle
    Audit or rewrite mainland-China usage in Traditional Chinese into Taiwan 正體中文, including 陸用語, 簡體殘留, 職場/互聯網黑話, and Taiwan transliterations. Trigger on 「去除陸用語」「改成台灣用語」「抓簡體殘留」「把互聯網黑話改成正常中文」, "remove mainland Chinese wording", or "localize this to Taiwan Traditional Chinese". Not for AI-ism cleanup, document restructuring, plain-language explanation, creative writing, or code comments.
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  24. Formal Doc Structure · leoluyi bundle
    Draft, revise, or restructure formal internal business documents in Traditional Chinese (Taiwan corporate / financial-institution usage) — 簽呈, 會議紀錄, 評估報告, 專案規劃, 採購與廠商溝通, 對主管簡報, 驗收與交付, 跨單位協調. Picks a reader-driven structure per document type and produces a usable draft, not just advice. Manual trigger only — invoke by name when writing or fixing an internal business document, memo, report, meeting record, plan, or vendor communication. Do NOT invoke for RFP / 招標規格 / 需求規格書 (use rfp-writing), for pure language cleanup with no structural work (use humanizer-zh), or for casual chat, creative writing, marketing copy, or code comments.
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  25. Knowledge Doc Writing · leoluyi bundle
    Create or update durable Diátaxis knowledge documents from self-study, research, conversations, lab notes, or existing learning notes; mark unsupported sections as gaps. Trigger on 「整理成知識文件」, "turn these notes into a knowledge document", or requests for a lasting personal or team technical reference. Not for 簽呈, 評估報告, RFPs, sentence-only cleanup, plain-language explanation, interactive learning, or mechanical spec-to-reference generation.
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  26. Developer Spec Workflow · leoluyi bundle
    Build a developer-facing technical specification and runnable sample code from a rough brief through documented grilling, scope decisions, tracer-bullet implementation, and end-to-end proof. Use when the user asks to 「從無到有產製技術規格書和 sample code」「先訪談再寫開發規格」 「用 AI 工作流產出技術規格與範例」, or requests an end-to-end spec-to-sample workflow. Do NOT invoke for a writing-only knowledge document, implementation from an already-approved spec, an RFP or procurement spec, or a one-off code example.
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  27. Recover Deleted Claude Conversation · leoluyi bundle
    Recover a conversation, message, or generated artifact (docx/pdf) accidentally deleted from Claude Desktop or claude.ai, by extracting it from the Chromium blockfile cache before it's evicted. Manual trigger only — invoke by name when a Claude conversation was just deleted and needs to be pulled back out of cache; this is a race against cache eviction, so run it immediately.
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