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 introduction/related work learning, checking if existing citations are real and accurate, supplementing local literature library. Triggers on: 找引用, 文献检索, citation pass, find references, reference check, 补文献, citation verification, Exemplar Set, search papers, verify citation, 核验文献, 查引用, literature search, reference verification.
EnglishAudit, run, or verify experimental evidence for CS/AI/ML papers. Produces Evidence Inventory with evidencetype annotations (newlyrun/preexistingartifact/userclaim) and Protocol Risk assessments. Use when: checking if experiment results are reproducible, auditing existing experiment artifacts, running minimal reproducible commands, evaluating checkpoints without full retraining, documenting protocol risks like data leakage or missing baselines. Triggers on: 复核实验, run experiments, 实验结果, experiment evidence, verify results, 实验验证, evidence inventory, protocol risk, 跑实验, check results, reproduce experiments, 实验审计.
EnglishCreate, revise, or audit academic figures for CS/AI/ML papers. Two paths: architecture figure prompting (tool-agnostic structured prompts) and data figure code generation (publication-ready Python scripts with matplotlib/seaborn). Use when: generating model architecture diagram prompts, creating publication-quality data plots from experiment results, auditing existing figures for publication standards, suggesting figure types for paper sections, revising figure colors/layouts/labels. Triggers on: 绘图, figure, chart, 画图, 实验图, 训练曲线, 消融实验, 对比图, 混淆矩阵, 架构图, model architecture, plot, publication figure, 数据可视化, generate plot, architecture diagram.
EnglishUse 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 layout cleanup, or compiled PDF layout review.
EnglishCore orchestrator for writing CS/AI/ML papers from scratch. Coordinates evidence audit, citation search, experiment verification, prose polishing, peer review, and figure generation across 6 sub-skills. Uses section-by-section drafting with Draft→Quality Gate→Expansion→Self-Review→Revision→Verification closed loop. Use when: writing a full paper draft from research notes or code repo, drafting paper sections one-by-one, coordinating multi-skill paper writing workflow, managing evidence-to-citation closed loop. Triggers on: 写论文, paper draft, 初稿, write introduction, draft method, 论文起草, full paper outline, section-by-section drafting, 证据闭环, 分节起草, academic paper writing, research paper drafting, write CS paper, draft AI paper, 从零写论文, 逐节写作.
EnglishPolish 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 to match evidence level, rewriting method sections with proper narrative flow, improving academic writing quality, checking for overclaiming. Triggers on: 润色, polish, improve writing, 去AI, de-AI, claim strength, 改写, rewrite method, prose quality, 降级表述, remove AI patterns, academic writing polish, 学术润色, 去AI化, 降级结论.
EnglishSelf-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 claims, simulating peer reviewer feedback, verifying citation closure and evidence debts, performing cross-section consistency checks. Triggers on: 审修, self review, 自查, verification, revise, 修订, check draft, 审稿, evidence compliance, peer review, 论文审查, draft audit, 验证论文, 检查引用, cross-section review.
EnglishResearch 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 venue, generating venue brief for paper writing, checking submission guidelines. Triggers on: venue research, 期刊调研, 目标期刊, writing style analysis, 写作风格分析, venue requirements, submission guidelines, 投稿要求, journal style, conference format.
EnglishIncludes Academic Citation, Academic Experiments, Academic Figure, and other workflows.
Supported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Academic Citation
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 introduction/related work learning, checking if existing citations are real and accurate, supplementing local literature library. Triggers on: 找引用, 文献检索, citation pass, find references, reference check, 补文献, citation verification, Exemplar Set, search papers, verify citation, 核验文献, 查引用, literature search, reference verification.
Academic Experiments
Audit, run, or verify experimental evidence for CS/AI/ML papers. Produces Evidence Inventory with evidencetype annotations (newlyrun/preexistingartifact/userclaim) and Protocol Risk assessments. Use when: checking if experiment results are reproducible, auditing existing experiment artifacts, running minimal reproducible commands, evaluating checkpoints without full retraining, documenting protocol risks like data leakage or missing baselines. Triggers on: 复核实验, run experiments, 实验结果, experiment evidence, verify results, 实验验证, evidence inventory, protocol risk, 跑实验, check results, reproduce experiments, 实验审计.
Academic Figure
Create, revise, or audit academic figures for CS/AI/ML papers. Two paths: architecture figure prompting (tool-agnostic structured prompts) and data figure code generation (publication-ready Python scripts with matplotlib/seaborn). Use when: generating model architecture diagram prompts, creating publication-quality data plots from experiment results, auditing existing figures for publication standards, suggesting figure types for paper sections, revising figure colors/layouts/labels. Triggers on: 绘图, figure, chart, 画图, 实验图, 训练曲线, 消融实验, 对比图, 混淆矩阵, 架构图, model architecture, plot, publication figure, 数据可视化, generate plot, architecture diagram.
Academic Latex Layout
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 layout cleanup, or compiled PDF layout review.
Academic Paper Writer
Core orchestrator for writing CS/AI/ML papers from scratch. Coordinates evidence audit, citation search, experiment verification, prose polishing, peer review, and figure generation across 6 sub-skills. Uses section-by-section drafting with Draft→Quality Gate→Expansion→Self-Review→Revision→Verification closed loop. Use when: writing a full paper draft from research notes or code repo, drafting paper sections one-by-one, coordinating multi-skill paper writing workflow, managing evidence-to-citation closed loop. Triggers on: 写论文, paper draft, 初稿, write introduction, draft method, 论文起草, full paper outline, section-by-section drafting, 证据闭环, 分节起草, academic paper writing, research paper drafting, write CS paper, draft AI paper, 从零写论文, 逐节写作.
Academic Polishing
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 to match evidence level, rewriting method sections with proper narrative flow, improving academic writing quality, checking for overclaiming. Triggers on: 润色, polish, improve writing, 去AI, de-AI, claim strength, 改写, rewrite method, prose quality, 降级表述, remove AI patterns, academic writing polish, 学术润色, 去AI化, 降级结论.
Academic Reviser
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 claims, simulating peer reviewer feedback, verifying citation closure and evidence debts, performing cross-section consistency checks. Triggers on: 审修, self review, 自查, verification, revise, 修订, check draft, 审稿, evidence compliance, peer review, 论文审查, draft audit, 验证论文, 检查引用, cross-section review.
Academic Venue Research
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 venue, generating venue brief for paper writing, checking submission guidelines. Triggers on: venue research, 期刊调研, 目标期刊, writing style analysis, 写作风格分析, venue requirements, submission guidelines, 投稿要求, journal style, conference format.
Quick start
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After installation, start with a request like:
Use the Academic Citation skill to help with my task.
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