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joshua-zyy
GitHub 제작자 프로필

joshua-zyy

2개 GitHub 저장소에서 수집된 9개 skills를 저장소 단위로 보여줍니다.

수집된 skills
9
저장소
2
업데이트
2026년 8월 15일
저장소 탐색

저장소와 대표 skills

academic-citation
기타 중등 후 교사

Search, verify, and map citations for CS/AI/ML papers. Produces VERIFIED/UNVERIFIED reference lists with Citation-to-Claim maps and Exemplar Sets. Use when: finding references for a paper section, verifying citation accuracy, building exemplar sets for…

2026년 6월 27일
academic-paper-writer
기타 중등 후 교사

Use when writing or revising CS/AI/ML papers from research notes, code repositories, local literature libraries, target venue requirements, or section-level drafting requests. Triggers include 写论文, 初稿, paper draft, write introduction, write method, full paper…

2026년 6월 25일
academic-polishing
편집자

Polish academic prose, de-AI-ify text, control claim strength, or rewrite method sections for CS/AI/ML papers. Executes Prose Quality Gate, Claim Strength Audit, and de-AI pass. Use when: removing AI writing patterns from paper text, adjusting claim strength…

2026년 6월 25일
academic-reviser
기타 중등 후 교사

Self-review, audit, or verify CS/AI/ML paper drafts as a critical peer reviewer. Three-round review (evidence→argument→style) with Verification Status and debt tracking. Use when: reviewing a paper draft before submission, checking evidence compliance of…

2026년 6월 25일
academic-venue-research
기타 중등 후 교사

Research target venue requirements and writing style for CS/AI/ML papers. Produces venue-brief.md with submission requirements and detailed writing style analysis. Use when: researching target journal/conference requirements, analyzing writing style of target…

2026년 6월 25일
academic-latex-layout
편집자

Use when working on academic paper LaTeX layout, figure/table float placement, draft-to-template LaTeX generation, existing .tex project layout repair, figures piling up, figures far from text, large blank areas, two-column figure/table placement, page-limit…

2026년 6월 13일
academic-figure
오디오 및 비디오 기술자

Create, revise, or audit academic data/result figures for CS/AI/ML papers. Data/result plots default to Python-generated editable SVG with CS/AI/ML-specific design rules for benchmarks, ablations, training dynamics, robustness, diagnostics, distributions,…

2026년 6월 4일
academic-experiments
소프트웨어 품질 보증 분석가·테스터

Audit, run, or verify experimental evidence for CS/AI/ML papers. Produces Evidence Inventory with evidence_type annotations (newly_run/preexisting_artifact/user_claim) and Protocol Risk assessments. Use when: checking if experiment results are reproducible,…

2026년 6월 2일
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