scientific-reporting

Write research/technical reports with strong structure + figure standards. Supports Markdown/HTML/PDF outputs (Quarto optional), executive summary, methods, results, discussion, and reproducibility appendix.

Best use case

scientific-reporting is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Write research/technical reports with strong structure + figure standards. Supports Markdown/HTML/PDF outputs (Quarto optional), executive summary, methods, results, discussion, and reproducibility appendix.

Teams using scientific-reporting should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/scientific-reporting/SKILL.md --create-dirs "https://raw.githubusercontent.com/foryourhealth111-pixel/Vibe-Skills/main/bundled/skills/scientific-reporting/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/scientific-reporting/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How scientific-reporting Compares

Feature / Agentscientific-reportingStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Write research/technical reports with strong structure + figure standards. Supports Markdown/HTML/PDF outputs (Quarto optional), executive summary, methods, results, discussion, and reproducibility appendix.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Scientific Reporting(科研/技术报告)

## 你遇到的痛点(为什么需要这个 skill)

很多“报告写作失败”不是写不出来,而是:
- 路由误入 `docs-media`(被 PDF/Word 关键词抢走)
- 报告没有结构(缺少 Executive Summary / 方法可复现 / 结果可追溯)
- 图表不达标(截图、低 DPI、字体不一致、颜色不友好)

这个 skill 的职责是:**把报告当成可交付工程**,并把图表与叙事纳入同一规范。

---

## 适用场景(关键词)

- 中文:`科研报告`、`技术报告`、`项目报告`、`实验报告`、`分析报告`、`HTML 报告`、`PDF 报告`
- 英文:`technical report`、`research report`、`HTML report`、`Quarto`、`RMarkdown`

不适用:
- 仅“抽取 PDF 文本/解析 docx” → `docs-media/pdf/docx/markitdown`

---

## 输入(最小信息)

1) 受众:老板/评审/客户/组会同学(决定写作风格与解释深度)
2) 目的:决策/复现/汇报/归档(决定是否必须包含 appendix)
3) 输出格式:`Markdown` / `HTML` / `PDF`(可多选)
4) 数据与图:是否已有数据、已有图、或需要从数据生成图

---

## 输出(默认目录)

推荐输出为(可按项目名建子目录):
- `reports/<topic>/report.md`(source-of-truth)
- `reports/<topic>/report.html`(可选)
- `reports/<topic>/report.pdf`(可选)
- `reports/<topic>/figures/`(报告引用的图,来源于 `figures/**/out`)
- `reports/<topic>/appendix/`(方法、参数、环境、额外图表)

模板:`templates/report-skeleton.md`

---

## 工作流(强制顺序)

### Phase 1 — 结构先行(先搭骨架)

报告必须包含(即使简写):
1) Executive Summary(结论先行)
2) Context(问题与约束)
3) Methods(可复现:数据/流程/参数)
4) Results(以图为骨架)
5) Discussion(解释意义、局限、建议)
6) Appendix(可选但推荐:环境/补充图/表)

### Phase 2 — 结果以图为锚

- 图表走 `scientific-visualization`(publication-quality)
- 示意图走 `scientific-schematics`(流程/机制/系统图)
- 文本解释走 `scientific-writing`(段落化、避免 bullet 作为最终稿)

### Phase 3 — 导出策略(HTML/PDF)

如果要 HTML:
- 优先:Markdown + 静态图(PDF/SVG/PNG)
- 需要交互:Plotly 输出 HTML(并提供静态 fallback)

如果要 PDF:
- 重点:图字体与线宽在最终版面可读
- 禁止:把网页截图当 PDF

---

## 质量门禁(报告交付前)

- [ ] “结论先行”:读 Executive Summary 就能知道要点与建议
- [ ] “可复现”:Methods + Appendix 足以复现关键结果
- [ ] “图可用”:统一字体、色盲友好、导出格式正确
- [ ] “可追溯”:每个结论能指向某张图/某个表/某段计算

Related Skills

scientific-writing

1174
from foryourhealth111-pixel/Vibe-Skills

Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process: (1) create section outlines with key points using research-lookup, (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions.

scientific-visualization

1174
from foryourhealth111-pixel/Vibe-Skills

Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.

scientific-slides

1174
from foryourhealth111-pixel/Vibe-Skills

Build slide decks and presentations for research talks. Use this for making PowerPoint slides, conference presentations, seminar talks, research presentations, thesis defense slides, or any scientific talk. Provides slide structure, design templates, timing guidance, and visual validation. Works with PowerPoint and LaTeX Beamer.

scientific-schematics

1174
from foryourhealth111-pixel/Vibe-Skills

Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.

scientific-brainstorming

1174
from foryourhealth111-pixel/Vibe-Skills

Research ideation partner. Generate hypotheses, explore interdisciplinary connections, challenge assumptions, develop methodologies, identify research gaps, for creative scientific problem-solving.

scientific-data-preprocessing

1140
from foryourhealth111-pixel/Vibe-Skills

⚠️ CRITICAL USER EXPERIENCE-BASED SKILL - ALWAYS CONSULT BEFORE DATA PREPROCESSING ⚠️ Prevents catastrophic errors (88.9% error rate in V1.0 case study) through multi-level feature analysis, data leakage detection, and semantic validation. MANDATORY for: data preprocessing, feature engineering, standardization, normalization, interpolation, missing value handling, feature selection, or ANY data transformation task. Covers grouped time-series, cross-sectional, panel data. Detects: time travel leakage, causal inversion, ID misuse, semantic-numeric fallacies, distribution blindness. User's hard-won lessons from real project failures.

scientific-critical-thinking

1140
from foryourhealth111-pixel/Vibe-Skills

Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.

zinc-database

1174
from foryourhealth111-pixel/Vibe-Skills

Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.

zarr-python

1174
from foryourhealth111-pixel/Vibe-Skills

Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.

yeet

1174
from foryourhealth111-pixel/Vibe-Skills

Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).

xlsx

1174
from foryourhealth111-pixel/Vibe-Skills

Spreadsheet toolkit (.xlsx/.csv). Create/edit with formulas/formatting, analyze data, visualization, recalculate formulas, for spreadsheet processing and analysis.

xan

1174
from foryourhealth111-pixel/Vibe-Skills

High-performance CSV processing with xan CLI for large tabular datasets, streaming transformations, and low-memory pipelines.