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voidful
GitHub creator profile

voidful

Repository-level view of 27 collected skills across 11 GitHub repositories.

skills collected
27
repositories
11
updated
Aug 20, 2026
Showing the top 8 repositories here; full repository list continues below.
repository explorer

Repositories and representative skills

architecture-review
software-developers

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

May 11, 2026
code-review
software-quality-assurance-analysts-and-testers

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

May 11, 2026
documentation-review
software-developers

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

May 11, 2026
git-workflow
software-developers

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

May 11, 2026
performance-analysis
software-developers

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

May 11, 2026
refactoring
software-developers

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

May 11, 2026
security-audit
information-security-analysts

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

May 11, 2026
systematic-debugging
software-quality-assurance-analysts-and-testers

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

May 11, 2026
Showing 8 of 10 collected skills.
academic-research
postsecondary-teachers-all-other

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…

Apr 4, 2026
professor-fit-analyzer
postsecondary-teachers-all-other

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,…

Apr 4, 2026
experiment-design
data-scientists-152051

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。

Mar 19, 2026
idea-generation
postsecondary-teachers-all-other

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。

Mar 19, 2026
paper-reading
postsecondary-teachers-all-other

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。

Mar 19, 2026
paper-review
postsecondary-teachers-all-other

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。

Mar 19, 2026
paper-writing
technical-writers

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…

Mar 19, 2026
proof-writer
postsecondary-teachers-all-other

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。

Mar 19, 2026
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