academic-citation
Search, verify, and map citations for CS/AI/ML papers. Produces VERIFIED/UNVERIFIED reference lists with Citation-to-Claim maps…
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, confusion matrices, and
$ npx -y skills add joshua-zyy/academic-paper-writer --skill academic-figure --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/academic-figureContext preview
The summary Claude sees to decide when to auto-load this skill.
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, confusion matrices, and
name: academic-figure description: "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, confusion matrices, and efficiency tradeoffs. Use when: generating plots from experiment results or numeric data, auditing publication figures, suggesting data-driven figure types, revising chart colors/layouts/labels, or preparing figure QA reports. Model framework diagrams, architecture diagrams, overview diagrams, and complex mechanism schematics are outside this skill's automatic drawing scope; provide only manual figure requirements or caption/blueprint notes when needed. 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, 结果图, 性能图, 鲁棒性图, 效率图, plot, publication figure, 数据可视化, generate plot, figure blueprint, 建议图表类型, figure audit, 审查图表, figure revision, 修改图表."
CS/AI/ML academic-figure router. 实验数据图默认交付 Python/matplotlib 可编辑 SVG,并执行 CS/AI/ML 图表设计 gate。模型框架图、架构图、overview 图和复杂机制图不属于本 skill 的自动绘制范围;如论文需要此类图,只能输出人工绘制需求、证据清单、caption 草案或 figure blueprint notes。
1. Read `manifest.yaml`. It declares `always_load` files, `axes`, and `references.on_demand`. 2. Read every file listed under `always_load`. These are the skill's binding rules — not reference material. 3. Apply the loaded material as constraints:
4. Select exactly one `mode` from the manifest. If ambiguous, ask one concise clarification only when data source or target use is missing. Requests for model framework, architecture, overview, or mechanism diagrams use `figure-blueprint` only to produce `manual_figure_needed` notes; never render images, SVG, or prompts. 5. Echo the selected mode to the user before executing. 6. Reach for `references/` only when the manifest's `references.on_demand` condition is satisfied.
| Mode | Use when | |---|---| | `chart-from-data` | Data files or numeric results, needs publication plot with CS/AI/ML chart design gate | | `figure-blueprint` | Wants figure suggestions for a paper section | | `figure-audit` | Existing figure reviewed for publication readiness | | `figure-revision` | Existing figure needs revision |
`agents/figure_agent.md` is dispatched by the orchestrator at Step 6.4. The agent returns figure artifacts, scripts, SVG paths, and reports; it must not independently edit project source code or experimental data.
Search, verify, and map citations for CS/AI/ML papers. Produces VERIFIED/UNVERIFIED reference lists with Citation-to-Claim maps…
Audit, run, or verify experimental evidence for CS/AI/ML papers. Produces Evidence Inventory with evidence_type annotations…
Use when working on academic paper LaTeX layout, figure/table float placement, draft-to-template LaTeX generation, existing .tex…
Use when writing or revising CS/AI/ML papers from research notes, code repositories, local literature libraries, target venue…
Polish academic prose, de-AI-ify text, control claim strength, or rewrite method sections for CS/AI/ML papers. Executes Prose…
Self-review, audit, or verify CS/AI/ML paper drafts as a critical peer reviewer. Three-round review (evidence→argument→style)…