Skills Plugins MCP Prompt Model 博客 我的中心
データ分析 #python #data #design #ai

academic-figure

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.

DeepseekModel キュレーション済みスキル 品質 優秀 · 78 v1.0.0

取得

https://deepseekmodel.com/api/download.php?id=joshua-zyy-academic-paper-writer-skills-academic-figure-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
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. Academic Figure 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。 Router Protocol Read manifest.yaml . It declares always_load files, axes , and references.on_demand . Read every file listed under always_load . These are the skill's binding rules — not reference material. Apply the loaded material as constraints: stance.md defines Python-only plotting, figure contract, visual policy, and scope. red-lines.md defines absolute prohibitions. Do not negotiate these. output-contract.md defines deliverables per mode. anti-patterns.md defines known failure modes and their correct alternatives. 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. Echo the selected mode to the user before executing. Reach for references/ only when the manifest's references.on_demand condition is satisfied. Modes 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 Agent Dispatch 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. Completion Criteria chart-from-data : Figure Contract, CS/AI/ML chart design gate, Python script, source data, editable SVG, QA report — all pass. figure-audit : Every QA item has pass/fail status and concrete remediation. figure-blueprint : Every suggested figure maps to a paper claim and data/evidence source. figure-revision : Revised artifact or instructions, QA report, unchanged evidence traceability.
このスキルを起動するキーワード。クリックでコピーできます。

このスキルにはトリガーワードがありません。

ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。