voidful

Use when evaluating whether a proposed change fits the existing architecture. Prevents layer violations, dependency cycles, and accidental coupling.

Use when the user wants a code review instead of implementation. Prioritizes correctness bugs, behavioral regressions, missing tests, and risky assumptions.

Use when reviewing documentation for accuracy, completeness, and alignment with source code. Catches doc-code drift before it confuses readers.

Use when making changes that should be committed. Enforces atomic commits, meaningful messages, and clean history.

Use when investigating slow execution, high memory usage, or excessive token consumption. Systematic measurement before optimization.

Use when improving code structure without changing behavior. Ensures each refactoring step preserves all existing tests.

Use when reviewing code for security vulnerabilities. Covers prompt injection, path traversal, command injection, and agent-specific attack vectors.

Use when encountering any bug, test failure, or unexpected behavior. Four-phase root cause investigation. No fixes without understanding the problem first.

Complete academic research skill suite covering the full pipeline: paper reading (read/explain papers with storytelling), idea generation (brainstorm research directions), experiment design (plan experiments, ablation, baselines), proof writing (mathematical proofs, LaTeX theorems), paper writing (draft to camera-ready for top venues like NeurIPS/ICLR/ACL), paper review (structured 4-step review with scoring), and professor fit analysis (evaluate advisors, cold emails, interview strategy). Trigger keywords: read paper, brainstorm, experiment design, prove, write paper, review, professor fit, advisor, cold email, LaTeX, research, NeurIPS, ICLR, ACL, arXiv, 讀論文, 寫論文, 審稿, 實驗設計, 數學證明, 研究方向, 教授分析, 選指導教授.

analyze a professor from google scholar, publication lists, personal websites, lab pages, and field-specific bibliographic databases (e.g., DBLP, PubMed, SSRN, PhilPapers, MathSciNet, arXiv, Scopus) to evaluate research strength, mentoring quality, collaboration network, lab resources, research taxonomy, future directions, applicant fit, outreach emails, and interview strategy. designed for students at all levels — PhD applicants, master's students, and undergraduate researchers (capstone/thesis/independent study) — across all academic disciplines. use when the user wants to assess whether a professor or lab is worth applying to, compare advisors, prepare a cold email, find a thesis or capstone advisor, infer future research openings, or build a structured dossier from public academic evidence.

學術研究實驗設計技能——從研究假設到可重現實驗計畫的完整流程。當使用者需要規劃實驗、設計 ablation study、選擇 baseline、確定評估指標，或問「我應該跑哪些實驗」時，一定要使用此技能。觸發詞包括：實驗設計、experiment design、ablation、baseline、跑什麼實驗、evaluation metric、如何驗證方法。適用於機器學習、NLP、CV 等領域的實驗規劃。

學術研究的 Idea 產生技能——從發散到收斂，系統化地產出高品質研究構想。當使用者想腦力激盪研究方向、找新 research idea、或問「我接下來可以做什麼研究」時，一定要使用此技能。觸發詞包括：brainstorm、想 idea、研究方向、下一步做什麼、有什麼可以研究的、找 gap、research proposal。適用於任何階段的學術研究構想生成。

太奶讀論文 — 一位百歲阿嬤用繁體中文、生活比喻和動漫梗，帶你讀懂學術論文。當使用者提供論文 PDF、arXiv 連結、或貼上論文文字，並想理解論文內容時，一定要使用此技能。觸發詞包括：讀論文、解釋論文、看不懂、幫我理解這篇、這篇在說什麼、paper reading、explain this paper。適用於任何學術論文的直觀導讀。

學術論文審稿技能 — 以結構化四步驟流程完成深度論文審查，涵蓋批判性審查、分數預測、要點精煉與正式審稿產出。當使用者需要 review 一篇論文、模擬 reviewer 反應、評估論文能否被接收、或幫助判斷論文優缺點時，一定要使用此技能。觸發詞包括：review 這篇、幫我審稿、reviewer 會怎麼說、這篇能上嗎、paper review、給分數、找 weakness。適用於任何學術論文的審稿模擬與評估。

頂級會議論文寫作技能——以嚴格 reviewer 視角指導從草稿到終稿的完整寫作流程。當使用者要寫論文、改善論文草稿、修改特定章節（introduction、method、experiments、conclusion）、潤色學術英文、回應 reviewer 意見，或問「這段怎麼寫」時，一定要使用此技能。觸發詞包括：寫論文、paper writing、improve my paper、幫我修改、review comments、rebuttal、LaTeX、NeurIPS/ICLR/ACL 投稿。適用於所有學術論文寫作場景。

數學證明撰寫技能 — 從主張提取到 LaTeX 排版的完整證明工作流。當使用者需要撰寫或驗證數學定理、引理、命題的形式證明，或需要推導公式、整理理論分析時，一定要使用此技能。觸發詞包括：數學證明、prove、theorem、lemma、proposition、推導、理論分析、寫 proof、LaTeX 數學、formal proof。適用於機器學習理論、統計學習理論、最佳化等需要嚴謹數學推導的場景。

Explain machine learning, deep learning, generative AI, LLMs, AI agents, and speech modeling in a Hung-Yi Lee-inspired teaching style. Use this skill when the user wants 李宏毅式教學: roadmap-first structure, intuition before math, black-box-to-mechanism explanations, everyday analogies, anticipating student confusion, practical debugging, and research-grounded context.

Generate a rich, INTERACTIVE HTML report (not markdown!) and publish it to GitHub Pages. Use when the user asks for a "report", "writeup", "summary page", "dashboard", "share link", or anything that benefits from interactivity, charts, sortable tables, tabs, search, syntax highlighting, math, diagrams, or visual polish that markdown cannot deliver. Returns a public URL the user can share.

台灣拉麵客製化推薦引擎與知識百科 — Taiwan Ramen AI Skill. 1069+ shops, 6 broth types, personalized recommendations. Triggers on: 拉麵/ramen/推薦/豚骨/雞白湯/味噌/鹽味/醬油/沾麵/ 拌麵/排隊拉麵/台北拉麵/台中拉麵/高雄拉麵/想吃拉麵/今天吃什麼/ 麵屋/湯頭/麵體/叉燒/溏心蛋 and any Taiwan ramen related query.

An AI expert on Taiwan's major 300 multi-store hand-shaken drink chains, providing recommendations, calories, and menu info for exactly 13,500 items.