Creator · brycewang-stanford
Last updated · Sep 2, 2026
Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/V
Creator · brycewang-stanford
Last updated · Sep 2, 2026
Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/V
Creator · brycewang-stanford
Last updated · Sep 2, 2026
Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/V
Creator · brycewang-stanford
Last updated · Sep 2, 2026
Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/V
Sandbox only
Install targets
Codex install prompt
Install the "scientific-writing" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/scientific-writing. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"brycewang-stanford-scientific-writing","task":"Install scientific-writing","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientific-writing
Maintenance
fresh
6d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
3.7K
83/100 Quality · 71/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
3.7K GitHub stars
Repo activity
3.7K stars, 467 forks
Maintenance
6d since push
License
MIT license
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientific-writing
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientific-writingDo not use when
Alternative
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npx skills add yanliudesign/mono-color-skill --skill mono-color
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61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20scientific-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20scientific-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/brycewang-stanford-scientific-writing/install
Agent should check
Copy prompt
Task: Use scientific-writing in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20scientific-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/brycewang-stanford-scientific-writing/install
Install command: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientific-writing
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/brycewang-stanford-scientific-writing/install
LLM text format
/api/skills/brycewang-stanford-scientific-writing/install?format=text
Find alternatives
/api/skills/search?q=scientific-writing&limit=3
Agent prompt
Use scientific-writing for this task. Review https://www.openagentskill.com/api/skills/brycewang-stanford-scientific-writing/install, then install with: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientific-writingRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/brycewang-stanford-scientific-writing
LLM text
/api/registry/manifest/brycewang-stanford-scientific-writing?format=text
Install alias
/api/registry/install/brycewang-stanford-scientific-writing
Recommend
/api/registry/recommend?task=Use%20scientific-writing%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS3.7K GitHub stars
Stars/forks activity
PASS3.7K stars, 467 forks; issue activity unavailable in current metadata
Recent maintenance
PASS6d since push
License clarity
PASSMIT license
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
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--- name: scientific-writing description: Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions. allowed-tools: Read Write Edit Bash license: MIT license metadata: skill-author: K-Dense Inc. ---
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档,收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝
来源仓库: https://github.com/K-Dense-AI/claude-scientific-skills 项目名称: claude-scientific-skills 开源协议: MIT License 收录日期: 2026-04-02
声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权,请联系删除。 -->
# Scientific Writing
## Overview
**This is the core skill for the deep research and writing tool**—combining AI-driven deep research with well-formatted written outputs. Every document produced is backed by comprehensive literature search and verified citations through the research-lookup skill.
Scientific writing is a process for communicating research with precision and clarity. Write manuscripts using IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, and reporting guidelines (CONSORT/STROBE/PRISMA). Apply this skill for research papers and journal submissions.
**Critical Principle: Always write in full paragraphs with flowing prose. Never submit bullet points in the final manuscript.** Use a two-stage process: first create section outlines with key points using research-lookup, then convert those outlines into complete paragraphs.
## When to Use This Skill
This skill should be used when: - Writing or revising any section of a scientific manuscript (abstract, introduction, methods, results, discussion) - Structuring a research paper using IMRAD or other standard formats - Formatting citations and references in specific styles (APA, AMA, Vancouver, Chicago, IEEE) - Creating, formatting, or improving figures, tables, and data visualizations - Applying study-specific reporting guidelines (CONSORT for trials, STROBE for observational studies, PRISMA for reviews) - Drafting abstracts that meet journal requirements (structured or unstructured) - Preparing manuscripts for submission to specific journals - Improving writing clarity, conciseness, and precision - Ensuring proper use of field-specific terminology and nomenclature - Addressing reviewer comments and revising manuscripts
## Visual Enhancement with Scientific Schematics
**⚠️ MANDATORY: Every scientific paper MUST include a graphical abstract plus 1-2 additional AI-generated figures using the scientific-schematics skill.**
This is not optional. Scientific papers without visual elements are incomplete. Before finalizing any document: 1. **ALWAYS generate a graphical abstract** as the first visual element 2. Generate at minimum ONE additional schematic or diagram using scientific-schematics 3. Prefer 3-4 total figures for comprehensive papers (graphical abstract + methods flowchart + results visualization + conceptual diagram)
### Graphical Abstract (REQUIRED)
**Every scientific writeup MUST include a graphical abstract.** This is a visual summary of your paper that: - Appears before or immediately after the text abstract - Captures the entire paper's key message in one image - Is suitable for journal table of contents display - Uses landscape orientation (typically 1200x600px)
**Generate the graphical abstract FIRST:** ```bash python scripts/generate_schematic.py "Graphical abstract for [paper title]: [brief description showing workflow from input → methods → key findings → conclusions]" -o figures/graphical_abstract.png ```
**Graphical Abstract Requirements:** - **Content**: Visual summary showing workflow, key methods, main findings, and conclusions - **Style**: Clean, professional, suitable for journal TOC - **Elements**: Include 3-5 key steps/concepts with connecting arrows or flow - **Text**: Minimal labels, large readable fonts - Log: `[HH:MM:SS] GENERATED: Graphical abstract for paper summary`
### Additional Figures (GENERATE EXTENSIVELY)
**⚠️ CRITICAL: Use BOTH scientific-schematics AND generate-image EXTENSIVELY throughout all documents.**
Every document should be richly illustrated. Generate figures liberally - when in doubt, add a visual.
**MINIMUM Figure Requirements:**
| Document Type | Minimum | Recommended | |--------------|---------|-------------| | Research Papers | 5 | 6-8 | | Literature Reviews | 4 | 5-7 | | Market Research | 20 | 25-30 | | Presentations | 1/slide | 1-2/slide | | Posters | 6 | 8-10 | | Grants | 4 | 5-7 | | Clinical Reports | 3 | 4-6 |
**Use scientific-schematics EXTENSIVELY for technical diagrams:** ```bash python scripts/generate_schematic.py "your diagram description" -o figures/output.png ```
- Study design and methodology flowcharts (CONSORT, PRISMA, STROBE) - Conceptual framework diagrams - Experimental workflow illustrations - Data analysis pipeline diagrams - Biological pathway or mechanism diagrams - System architecture visualizations - Neural network architectures - Decision trees, algorithm flowcharts - Comparison matrices, timeline diagrams - Any technical concept that benefits from schematic visualization
**Use generate-image EXTENSIVELY for visual content:** ```bash python scripts/generate_image.py "your image description" -o figures/output.png ```
- Photorealistic illustrations of concepts - Medical/anatomical illustrations - Environmental/ecological scenes - Equipment and lab setup visualizations - Artistic visualizations, infographics - Cover images, header graphics - Product mockups, prototype visualizations - Any visual that enhances understanding or engagement
The AI will automatically: - Create publication-quality images with proper formatting - Review and refine through multiple iterations - Ensure accessibility (colorblind-friendly, high contrast) - Save outputs in the figures/ directory
**When in Doubt, Generate a Figure:** - Complex concept → generate a schematic - Data discussion → generate a visualization - Process description → generate a flowchart - Comparison → generate a comparison diagram - Reader benefit → generate a visual
For detailed guidance, refer to the scientific-schematics and generate-image skill documentation.
---
## Core Capabilities
### 1. Manuscript Structure and Organization
**IMRAD Format**: Guide papers through the standard Introduction, Methods, Results, And Discussion structure used across most scientific disciplines. This includes: - **Introduction**: Establish research context, identify gaps, state objectives - **Methods**: Detail study design, populations, procedures, and analysis approaches - **Results**: Present findings objectively without interpretation - **Discussion**: Interpret results, acknowledge limitations, propose future directions
For detailed guidance on IMRAD structure, refer to `references/imrad_structure.md`.
**Alternative Structures**: Support discipline-specific formats including: - Review articles (narrative, systematic, scoping) - Case reports and case series - Meta-analyses and pooled analyses - Theoretical/modeling papers - Methods papers and protocols
### 2. Section-Specific Writing Guidance
**Abstract Composition**: Craft concise, standalone summaries (100-250 words) that capture the paper's purpose, methods, results, and conclusions. Support both structured abstracts (with labeled sections) and unstructured single-paragraph formats.
**Introduction Development**: Build compelling introductions that: - Establish the research problem's importance - Review relevant literature systematically - Identify knowledge gaps or controversies - State clear research questions or hypotheses - Explain the study's novelty and significance
**Methods Documentation**: Ensure reproducibility through: - Detailed participant/sample descriptions - Clear procedural documentation - Statistical methods with justification - Equipment and materials specifications - Ethical approval and consent statements
**Results Presentation**: Present findings with: - Logical flow from primary to secondary outcomes - Integration with figures and tables - Statistical significance with effect sizes - Objective reporting without interpretation
**Discussion Construction**: Synthesize findings by: - Relating results to research questions - Comparing with existing literature - Acknowledging limitations honestly - Proposing mechanistic explanations - Suggesting practical implications and future research
### 3. Citation and Reference Management
Apply citation styles correctly across disciplines. For comprehensive style guides, refer to `references/citation_styles.md`.
**Major Citation Styles:** - **AMA (American Medical Association)**: Numbered superscript citations, common in medicine - **Vancouver**: Numbered citations in square brackets, biomedical standard - **APA (American Psychological Association)**: Author-date in-text citations, common in social sciences - **Chicago**: Notes-bibliography or author-date, humanities and sciences - **IEEE**: Numbered square brackets, engineering and computer science
**Best Practices:** - Cite primary sources when possible - Include recent literature (last 5-10 years for active fields) - Balance citation distribution across introduction and discussion - Verify all citations against original sources - Use reference management software (Zotero, Mendeley, EndNote)
### 4. Figures and Tables
Create effective data visualizations that enhance comprehension. For detailed best practices, refer to `references/figures_tables.md`.
**When to Use Tables vs. Figures:** - **Tables**: Precise numerical data, complex datasets, multiple variables requiring exact values - **Figures**: Trends, patterns, relationships, comparisons best understood visually
**Design Principles:** - Make each table/figure self-explanatory with complete captions - Use consistent formatting and terminology across all display items - Label all axes, columns, and rows with units - Include sample sizes (n) and statistical annotations - Follow the "one table/figure per 1000 words" guideline - Avoid duplicating information between text, tables, and figures
**Common Figure Types:** - Bar graphs: Comparing discrete categories - Line graphs: Showing trends over time - Scatterplots: Displaying correlations - Box plots: Showing distributions and outliers - Heatmaps: Visualizing matrices and patterns
### 5. Reporting Guidelines by Study Type
Ensure completeness and transparency by following established reporting standards. For comprehensive guideline details, refer to `references/reporting_guidelines.md`.
**Key Guidelines:** - **CONSORT**: Randomized controlled trials - **STROBE**: Observational studies (cohort, case-control, cross-sectional) - **PRISMA**: Systematic reviews and meta-analyses - **STARD**: Diagnostic accuracy studies - **TRIPOD**: Prediction model studies - **ARRIVE**: Animal research - **CARE**: Case reports - **SQUIRE**: Quality improvement studies - **SPIRIT**: Study protocols for clinical trials - **CHEERS**: Economic evaluations
Each guideline provides checklists ensuring all critical methodological elements are reported.
### 6. Writing Principles and Style
Apply fundamental scientific writing principles. For detailed guidance, refer to `references/writing_principles.md`.
**Clarity**: - Use precise, unambiguous language - Define technical terms and abbreviations at first use - Maintain logical flow within and between paragraphs - Use active voice when appropriate for clarity
**Conciseness**: - Eliminate redundant words and phrases - Favor shorter sentences (15-20 words average) - Remove unnecessary qu
Source provenance
Decision snapshot
3,651 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for scientific-writing, ready for a manual X post.
scientific-writing: Core skill for the deep research and writing tool. Write scientific manuscripts in full parag... 3.7K stars https://www.openagentskill.com/skills/brycewang-stanford-scientific-writing?ref=x
Listing + install path for scientific-writing: https://www.openagentskill.com/skills/brycewang-stanford-scientific-writing?ref=x Install: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientif...
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mono-color
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Install targets
Codex install prompt
Install the "scientific-writing" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/scientific-writing. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"brycewang-stanford-scientific-writing","task":"Install scientific-writing","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientific-writing
Maintenance
fresh
6d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
3.7K
83/100 Quality · 71/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
3.7K GitHub stars
Repo activity
3.7K stars, 467 forks
Maintenance
6d since push
License
MIT license
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientific-writing
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientific-writingDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20scientific-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20scientific-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/brycewang-stanford-scientific-writing/install
Agent should check
Copy prompt
Task: Use scientific-writing in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20scientific-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/brycewang-stanford-scientific-writing/install
Install command: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientific-writing
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/brycewang-stanford-scientific-writing/install
LLM text format
/api/skills/brycewang-stanford-scientific-writing/install?format=text
Find alternatives
/api/skills/search?q=scientific-writing&limit=3
Agent prompt
Use scientific-writing for this task. Review https://www.openagentskill.com/api/skills/brycewang-stanford-scientific-writing/install, then install with: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientific-writingRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/brycewang-stanford-scientific-writing
LLM text
/api/registry/manifest/brycewang-stanford-scientific-writing?format=text
Install alias
/api/registry/install/brycewang-stanford-scientific-writing
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A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: scientific-writing description: Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions. allowed-tools: Read Write Edit Bash license: MIT license metadata: skill-author: K-Dense Inc. ---
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档,收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝
来源仓库: https://github.com/K-Dense-AI/claude-scientific-skills 项目名称: claude-scientific-skills 开源协议: MIT License 收录日期: 2026-04-02
声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权,请联系删除。 -->
# Scientific Writing
## Overview
**This is the core skill for the deep research and writing tool**—combining AI-driven deep research with well-formatted written outputs. Every document produced is backed by comprehensive literature search and verified citations through the research-lookup skill.
Scientific writing is a process for communicating research with precision and clarity. Write manuscripts using IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, and reporting guidelines (CONSORT/STROBE/PRISMA). Apply this skill for research papers and journal submissions.
**Critical Principle: Always write in full paragraphs with flowing prose. Never submit bullet points in the final manuscript.** Use a two-stage process: first create section outlines with key points using research-lookup, then convert those outlines into complete paragraphs.
## When to Use This Skill
This skill should be used when: - Writing or revising any section of a scientific manuscript (abstract, introduction, methods, results, discussion) - Structuring a research paper using IMRAD or other standard formats - Formatting citations and references in specific styles (APA, AMA, Vancouver, Chicago, IEEE) - Creating, formatting, or improving figures, tables, and data visualizations - Applying study-specific reporting guidelines (CONSORT for trials, STROBE for observational studies, PRISMA for reviews) - Drafting abstracts that meet journal requirements (structured or unstructured) - Preparing manuscripts for submission to specific journals - Improving writing clarity, conciseness, and precision - Ensuring proper use of field-specific terminology and nomenclature - Addressing reviewer comments and revising manuscripts
## Visual Enhancement with Scientific Schematics
**⚠️ MANDATORY: Every scientific paper MUST include a graphical abstract plus 1-2 additional AI-generated figures using the scientific-schematics skill.**
This is not optional. Scientific papers without visual elements are incomplete. Before finalizing any document: 1. **ALWAYS generate a graphical abstract** as the first visual element 2. Generate at minimum ONE additional schematic or diagram using scientific-schematics 3. Prefer 3-4 total figures for comprehensive papers (graphical abstract + methods flowchart + results visualization + conceptual diagram)
### Graphical Abstract (REQUIRED)
**Every scientific writeup MUST include a graphical abstract.** This is a visual summary of your paper that: - Appears before or immediately after the text abstract - Captures the entire paper's key message in one image - Is suitable for journal table of contents display - Uses landscape orientation (typically 1200x600px)
**Generate the graphical abstract FIRST:** ```bash python scripts/generate_schematic.py "Graphical abstract for [paper title]: [brief description showing workflow from input → methods → key findings → conclusions]" -o figures/graphical_abstract.png ```
**Graphical Abstract Requirements:** - **Content**: Visual summary showing workflow, key methods, main findings, and conclusions - **Style**: Clean, professional, suitable for journal TOC - **Elements**: Include 3-5 key steps/concepts with connecting arrows or flow - **Text**: Minimal labels, large readable fonts - Log: `[HH:MM:SS] GENERATED: Graphical abstract for paper summary`
### Additional Figures (GENERATE EXTENSIVELY)
**⚠️ CRITICAL: Use BOTH scientific-schematics AND generate-image EXTENSIVELY throughout all documents.**
Every document should be richly illustrated. Generate figures liberally - when in doubt, add a visual.
**MINIMUM Figure Requirements:**
| Document Type | Minimum | Recommended | |--------------|---------|-------------| | Research Papers | 5 | 6-8 | | Literature Reviews | 4 | 5-7 | | Market Research | 20 | 25-30 | | Presentations | 1/slide | 1-2/slide | | Posters | 6 | 8-10 | | Grants | 4 | 5-7 | | Clinical Reports | 3 | 4-6 |
**Use scientific-schematics EXTENSIVELY for technical diagrams:** ```bash python scripts/generate_schematic.py "your diagram description" -o figures/output.png ```
- Study design and methodology flowcharts (CONSORT, PRISMA, STROBE) - Conceptual framework diagrams - Experimental workflow illustrations - Data analysis pipeline diagrams - Biological pathway or mechanism diagrams - System architecture visualizations - Neural network architectures - Decision trees, algorithm flowcharts - Comparison matrices, timeline diagrams - Any technical concept that benefits from schematic visualization
**Use generate-image EXTENSIVELY for visual content:** ```bash python scripts/generate_image.py "your image description" -o figures/output.png ```
- Photorealistic illustrations of concepts - Medical/anatomical illustrations - Environmental/ecological scenes - Equipment and lab setup visualizations - Artistic visualizations, infographics - Cover images, header graphics - Product mockups, prototype visualizations - Any visual that enhances understanding or engagement
The AI will automatically: - Create publication-quality images with proper formatting - Review and refine through multiple iterations - Ensure accessibility (colorblind-friendly, high contrast) - Save outputs in the figures/ directory
**When in Doubt, Generate a Figure:** - Complex concept → generate a schematic - Data discussion → generate a visualization - Process description → generate a flowchart - Comparison → generate a comparison diagram - Reader benefit → generate a visual
For detailed guidance, refer to the scientific-schematics and generate-image skill documentation.
---
## Core Capabilities
### 1. Manuscript Structure and Organization
**IMRAD Format**: Guide papers through the standard Introduction, Methods, Results, And Discussion structure used across most scientific disciplines. This includes: - **Introduction**: Establish research context, identify gaps, state objectives - **Methods**: Detail study design, populations, procedures, and analysis approaches - **Results**: Present findings objectively without interpretation - **Discussion**: Interpret results, acknowledge limitations, propose future directions
For detailed guidance on IMRAD structure, refer to `references/imrad_structure.md`.
**Alternative Structures**: Support discipline-specific formats including: - Review articles (narrative, systematic, scoping) - Case reports and case series - Meta-analyses and pooled analyses - Theoretical/modeling papers - Methods papers and protocols
### 2. Section-Specific Writing Guidance
**Abstract Composition**: Craft concise, standalone summaries (100-250 words) that capture the paper's purpose, methods, results, and conclusions. Support both structured abstracts (with labeled sections) and unstructured single-paragraph formats.
**Introduction Development**: Build compelling introductions that: - Establish the research problem's importance - Review relevant literature systematically - Identify knowledge gaps or controversies - State clear research questions or hypotheses - Explain the study's novelty and significance
**Methods Documentation**: Ensure reproducibility through: - Detailed participant/sample descriptions - Clear procedural documentation - Statistical methods with justification - Equipment and materials specifications - Ethical approval and consent statements
**Results Presentation**: Present findings with: - Logical flow from primary to secondary outcomes - Integration with figures and tables - Statistical significance with effect sizes - Objective reporting without interpretation
**Discussion Construction**: Synthesize findings by: - Relating results to research questions - Comparing with existing literature - Acknowledging limitations honestly - Proposing mechanistic explanations - Suggesting practical implications and future research
### 3. Citation and Reference Management
Apply citation styles correctly across disciplines. For comprehensive style guides, refer to `references/citation_styles.md`.
**Major Citation Styles:** - **AMA (American Medical Association)**: Numbered superscript citations, common in medicine - **Vancouver**: Numbered citations in square brackets, biomedical standard - **APA (American Psychological Association)**: Author-date in-text citations, common in social sciences - **Chicago**: Notes-bibliography or author-date, humanities and sciences - **IEEE**: Numbered square brackets, engineering and computer science
**Best Practices:** - Cite primary sources when possible - Include recent literature (last 5-10 years for active fields) - Balance citation distribution across introduction and discussion - Verify all citations against original sources - Use reference management software (Zotero, Mendeley, EndNote)
### 4. Figures and Tables
Create effective data visualizations that enhance comprehension. For detailed best practices, refer to `references/figures_tables.md`.
**When to Use Tables vs. Figures:** - **Tables**: Precise numerical data, complex datasets, multiple variables requiring exact values - **Figures**: Trends, patterns, relationships, comparisons best understood visually
**Design Principles:** - Make each table/figure self-explanatory with complete captions - Use consistent formatting and terminology across all display items - Label all axes, columns, and rows with units - Include sample sizes (n) and statistical annotations - Follow the "one table/figure per 1000 words" guideline - Avoid duplicating information between text, tables, and figures
**Common Figure Types:** - Bar graphs: Comparing discrete categories - Line graphs: Showing trends over time - Scatterplots: Displaying correlations - Box plots: Showing distributions and outliers - Heatmaps: Visualizing matrices and patterns
### 5. Reporting Guidelines by Study Type
Ensure completeness and transparency by following established reporting standards. For comprehensive guideline details, refer to `references/reporting_guidelines.md`.
**Key Guidelines:** - **CONSORT**: Randomized controlled trials - **STROBE**: Observational studies (cohort, case-control, cross-sectional) - **PRISMA**: Systematic reviews and meta-analyses - **STARD**: Diagnostic accuracy studies - **TRIPOD**: Prediction model studies - **ARRIVE**: Animal research - **CARE**: Case reports - **SQUIRE**: Quality improvement studies - **SPIRIT**: Study protocols for clinical trials - **CHEERS**: Economic evaluations
Each guideline provides checklists ensuring all critical methodological elements are reported.
### 6. Writing Principles and Style
Apply fundamental scientific writing principles. For detailed guidance, refer to `references/writing_principles.md`.
**Clarity**: - Use precise, unambiguous language - Define technical terms and abbreviations at first use - Maintain logical flow within and between paragraphs - Use active voice when appropriate for clarity
**Conciseness**: - Eliminate redundant words and phrases - Favor shorter sentences (15-20 words average) - Remove unnecessary qu
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Scenario-led draft for scientific-writing, ready for a manual X post.
scientific-writing: Core skill for the deep research and writing tool. Write scientific manuscripts in full parag... 3.7K stars https://www.openagentskill.com/skills/brycewang-stanford-scientific-writing?ref=x
Listing + install path for scientific-writing: https://www.openagentskill.com/skills/brycewang-stanford-scientific-writing?ref=x Install: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientif...
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mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
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Codex install prompt
Install the "scientific-writing" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/scientific-writing. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"brycewang-stanford-scientific-writing","task":"Install scientific-writing","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
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Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
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npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientific-writing
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npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientific-writing
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npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientific-writingDo not use when
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Task: Use scientific-writing in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20scientific-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
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Install command: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientific-writing
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Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
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PASS3.7K GitHub stars
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PASS3.7K stars, 467 forks; issue activity unavailable in current metadata
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PASS6d since push
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PASSMIT license
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Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: scientific-writing description: Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions. allowed-tools: Read Write Edit Bash license: MIT license metadata: skill-author: K-Dense Inc. ---
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档,收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝
来源仓库: https://github.com/K-Dense-AI/claude-scientific-skills 项目名称: claude-scientific-skills 开源协议: MIT License 收录日期: 2026-04-02
声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权,请联系删除。 -->
# Scientific Writing
## Overview
**This is the core skill for the deep research and writing tool**—combining AI-driven deep research with well-formatted written outputs. Every document produced is backed by comprehensive literature search and verified citations through the research-lookup skill.
Scientific writing is a process for communicating research with precision and clarity. Write manuscripts using IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, and reporting guidelines (CONSORT/STROBE/PRISMA). Apply this skill for research papers and journal submissions.
**Critical Principle: Always write in full paragraphs with flowing prose. Never submit bullet points in the final manuscript.** Use a two-stage process: first create section outlines with key points using research-lookup, then convert those outlines into complete paragraphs.
## When to Use This Skill
This skill should be used when: - Writing or revising any section of a scientific manuscript (abstract, introduction, methods, results, discussion) - Structuring a research paper using IMRAD or other standard formats - Formatting citations and references in specific styles (APA, AMA, Vancouver, Chicago, IEEE) - Creating, formatting, or improving figures, tables, and data visualizations - Applying study-specific reporting guidelines (CONSORT for trials, STROBE for observational studies, PRISMA for reviews) - Drafting abstracts that meet journal requirements (structured or unstructured) - Preparing manuscripts for submission to specific journals - Improving writing clarity, conciseness, and precision - Ensuring proper use of field-specific terminology and nomenclature - Addressing reviewer comments and revising manuscripts
## Visual Enhancement with Scientific Schematics
**⚠️ MANDATORY: Every scientific paper MUST include a graphical abstract plus 1-2 additional AI-generated figures using the scientific-schematics skill.**
This is not optional. Scientific papers without visual elements are incomplete. Before finalizing any document: 1. **ALWAYS generate a graphical abstract** as the first visual element 2. Generate at minimum ONE additional schematic or diagram using scientific-schematics 3. Prefer 3-4 total figures for comprehensive papers (graphical abstract + methods flowchart + results visualization + conceptual diagram)
### Graphical Abstract (REQUIRED)
**Every scientific writeup MUST include a graphical abstract.** This is a visual summary of your paper that: - Appears before or immediately after the text abstract - Captures the entire paper's key message in one image - Is suitable for journal table of contents display - Uses landscape orientation (typically 1200x600px)
**Generate the graphical abstract FIRST:** ```bash python scripts/generate_schematic.py "Graphical abstract for [paper title]: [brief description showing workflow from input → methods → key findings → conclusions]" -o figures/graphical_abstract.png ```
**Graphical Abstract Requirements:** - **Content**: Visual summary showing workflow, key methods, main findings, and conclusions - **Style**: Clean, professional, suitable for journal TOC - **Elements**: Include 3-5 key steps/concepts with connecting arrows or flow - **Text**: Minimal labels, large readable fonts - Log: `[HH:MM:SS] GENERATED: Graphical abstract for paper summary`
### Additional Figures (GENERATE EXTENSIVELY)
**⚠️ CRITICAL: Use BOTH scientific-schematics AND generate-image EXTENSIVELY throughout all documents.**
Every document should be richly illustrated. Generate figures liberally - when in doubt, add a visual.
**MINIMUM Figure Requirements:**
| Document Type | Minimum | Recommended | |--------------|---------|-------------| | Research Papers | 5 | 6-8 | | Literature Reviews | 4 | 5-7 | | Market Research | 20 | 25-30 | | Presentations | 1/slide | 1-2/slide | | Posters | 6 | 8-10 | | Grants | 4 | 5-7 | | Clinical Reports | 3 | 4-6 |
**Use scientific-schematics EXTENSIVELY for technical diagrams:** ```bash python scripts/generate_schematic.py "your diagram description" -o figures/output.png ```
- Study design and methodology flowcharts (CONSORT, PRISMA, STROBE) - Conceptual framework diagrams - Experimental workflow illustrations - Data analysis pipeline diagrams - Biological pathway or mechanism diagrams - System architecture visualizations - Neural network architectures - Decision trees, algorithm flowcharts - Comparison matrices, timeline diagrams - Any technical concept that benefits from schematic visualization
**Use generate-image EXTENSIVELY for visual content:** ```bash python scripts/generate_image.py "your image description" -o figures/output.png ```
- Photorealistic illustrations of concepts - Medical/anatomical illustrations - Environmental/ecological scenes - Equipment and lab setup visualizations - Artistic visualizations, infographics - Cover images, header graphics - Product mockups, prototype visualizations - Any visual that enhances understanding or engagement
The AI will automatically: - Create publication-quality images with proper formatting - Review and refine through multiple iterations - Ensure accessibility (colorblind-friendly, high contrast) - Save outputs in the figures/ directory
**When in Doubt, Generate a Figure:** - Complex concept → generate a schematic - Data discussion → generate a visualization - Process description → generate a flowchart - Comparison → generate a comparison diagram - Reader benefit → generate a visual
For detailed guidance, refer to the scientific-schematics and generate-image skill documentation.
---
## Core Capabilities
### 1. Manuscript Structure and Organization
**IMRAD Format**: Guide papers through the standard Introduction, Methods, Results, And Discussion structure used across most scientific disciplines. This includes: - **Introduction**: Establish research context, identify gaps, state objectives - **Methods**: Detail study design, populations, procedures, and analysis approaches - **Results**: Present findings objectively without interpretation - **Discussion**: Interpret results, acknowledge limitations, propose future directions
For detailed guidance on IMRAD structure, refer to `references/imrad_structure.md`.
**Alternative Structures**: Support discipline-specific formats including: - Review articles (narrative, systematic, scoping) - Case reports and case series - Meta-analyses and pooled analyses - Theoretical/modeling papers - Methods papers and protocols
### 2. Section-Specific Writing Guidance
**Abstract Composition**: Craft concise, standalone summaries (100-250 words) that capture the paper's purpose, methods, results, and conclusions. Support both structured abstracts (with labeled sections) and unstructured single-paragraph formats.
**Introduction Development**: Build compelling introductions that: - Establish the research problem's importance - Review relevant literature systematically - Identify knowledge gaps or controversies - State clear research questions or hypotheses - Explain the study's novelty and significance
**Methods Documentation**: Ensure reproducibility through: - Detailed participant/sample descriptions - Clear procedural documentation - Statistical methods with justification - Equipment and materials specifications - Ethical approval and consent statements
**Results Presentation**: Present findings with: - Logical flow from primary to secondary outcomes - Integration with figures and tables - Statistical significance with effect sizes - Objective reporting without interpretation
**Discussion Construction**: Synthesize findings by: - Relating results to research questions - Comparing with existing literature - Acknowledging limitations honestly - Proposing mechanistic explanations - Suggesting practical implications and future research
### 3. Citation and Reference Management
Apply citation styles correctly across disciplines. For comprehensive style guides, refer to `references/citation_styles.md`.
**Major Citation Styles:** - **AMA (American Medical Association)**: Numbered superscript citations, common in medicine - **Vancouver**: Numbered citations in square brackets, biomedical standard - **APA (American Psychological Association)**: Author-date in-text citations, common in social sciences - **Chicago**: Notes-bibliography or author-date, humanities and sciences - **IEEE**: Numbered square brackets, engineering and computer science
**Best Practices:** - Cite primary sources when possible - Include recent literature (last 5-10 years for active fields) - Balance citation distribution across introduction and discussion - Verify all citations against original sources - Use reference management software (Zotero, Mendeley, EndNote)
### 4. Figures and Tables
Create effective data visualizations that enhance comprehension. For detailed best practices, refer to `references/figures_tables.md`.
**When to Use Tables vs. Figures:** - **Tables**: Precise numerical data, complex datasets, multiple variables requiring exact values - **Figures**: Trends, patterns, relationships, comparisons best understood visually
**Design Principles:** - Make each table/figure self-explanatory with complete captions - Use consistent formatting and terminology across all display items - Label all axes, columns, and rows with units - Include sample sizes (n) and statistical annotations - Follow the "one table/figure per 1000 words" guideline - Avoid duplicating information between text, tables, and figures
**Common Figure Types:** - Bar graphs: Comparing discrete categories - Line graphs: Showing trends over time - Scatterplots: Displaying correlations - Box plots: Showing distributions and outliers - Heatmaps: Visualizing matrices and patterns
### 5. Reporting Guidelines by Study Type
Ensure completeness and transparency by following established reporting standards. For comprehensive guideline details, refer to `references/reporting_guidelines.md`.
**Key Guidelines:** - **CONSORT**: Randomized controlled trials - **STROBE**: Observational studies (cohort, case-control, cross-sectional) - **PRISMA**: Systematic reviews and meta-analyses - **STARD**: Diagnostic accuracy studies - **TRIPOD**: Prediction model studies - **ARRIVE**: Animal research - **CARE**: Case reports - **SQUIRE**: Quality improvement studies - **SPIRIT**: Study protocols for clinical trials - **CHEERS**: Economic evaluations
Each guideline provides checklists ensuring all critical methodological elements are reported.
### 6. Writing Principles and Style
Apply fundamental scientific writing principles. For detailed guidance, refer to `references/writing_principles.md`.
**Clarity**: - Use precise, unambiguous language - Define technical terms and abbreviations at first use - Maintain logical flow within and between paragraphs - Use active voice when appropriate for clarity
**Conciseness**: - Eliminate redundant words and phrases - Favor shorter sentences (15-20 words average) - Remove unnecessary qu
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scientific-writing: Core skill for the deep research and writing tool. Write scientific manuscripts in full parag... 3.7K stars https://www.openagentskill.com/skills/brycewang-stanford-scientific-writing?ref=x
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Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
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Install the "scientific-writing" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/scientific-writing. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"brycewang-stanford-scientific-writing","task":"Install scientific-writing","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
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Task: Use scientific-writing in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20scientific-writing%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/brycewang-stanford-scientific-writing/install
Install command: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientific-writing
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Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: scientific-writing description: Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions. allowed-tools: Read Write Edit Bash license: MIT license metadata: skill-author: K-Dense Inc. ---
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档,收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝
来源仓库: https://github.com/K-Dense-AI/claude-scientific-skills 项目名称: claude-scientific-skills 开源协议: MIT License 收录日期: 2026-04-02
声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权,请联系删除。 -->
# Scientific Writing
## Overview
**This is the core skill for the deep research and writing tool**—combining AI-driven deep research with well-formatted written outputs. Every document produced is backed by comprehensive literature search and verified citations through the research-lookup skill.
Scientific writing is a process for communicating research with precision and clarity. Write manuscripts using IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, and reporting guidelines (CONSORT/STROBE/PRISMA). Apply this skill for research papers and journal submissions.
**Critical Principle: Always write in full paragraphs with flowing prose. Never submit bullet points in the final manuscript.** Use a two-stage process: first create section outlines with key points using research-lookup, then convert those outlines into complete paragraphs.
## When to Use This Skill
This skill should be used when: - Writing or revising any section of a scientific manuscript (abstract, introduction, methods, results, discussion) - Structuring a research paper using IMRAD or other standard formats - Formatting citations and references in specific styles (APA, AMA, Vancouver, Chicago, IEEE) - Creating, formatting, or improving figures, tables, and data visualizations - Applying study-specific reporting guidelines (CONSORT for trials, STROBE for observational studies, PRISMA for reviews) - Drafting abstracts that meet journal requirements (structured or unstructured) - Preparing manuscripts for submission to specific journals - Improving writing clarity, conciseness, and precision - Ensuring proper use of field-specific terminology and nomenclature - Addressing reviewer comments and revising manuscripts
## Visual Enhancement with Scientific Schematics
**⚠️ MANDATORY: Every scientific paper MUST include a graphical abstract plus 1-2 additional AI-generated figures using the scientific-schematics skill.**
This is not optional. Scientific papers without visual elements are incomplete. Before finalizing any document: 1. **ALWAYS generate a graphical abstract** as the first visual element 2. Generate at minimum ONE additional schematic or diagram using scientific-schematics 3. Prefer 3-4 total figures for comprehensive papers (graphical abstract + methods flowchart + results visualization + conceptual diagram)
### Graphical Abstract (REQUIRED)
**Every scientific writeup MUST include a graphical abstract.** This is a visual summary of your paper that: - Appears before or immediately after the text abstract - Captures the entire paper's key message in one image - Is suitable for journal table of contents display - Uses landscape orientation (typically 1200x600px)
**Generate the graphical abstract FIRST:** ```bash python scripts/generate_schematic.py "Graphical abstract for [paper title]: [brief description showing workflow from input → methods → key findings → conclusions]" -o figures/graphical_abstract.png ```
**Graphical Abstract Requirements:** - **Content**: Visual summary showing workflow, key methods, main findings, and conclusions - **Style**: Clean, professional, suitable for journal TOC - **Elements**: Include 3-5 key steps/concepts with connecting arrows or flow - **Text**: Minimal labels, large readable fonts - Log: `[HH:MM:SS] GENERATED: Graphical abstract for paper summary`
### Additional Figures (GENERATE EXTENSIVELY)
**⚠️ CRITICAL: Use BOTH scientific-schematics AND generate-image EXTENSIVELY throughout all documents.**
Every document should be richly illustrated. Generate figures liberally - when in doubt, add a visual.
**MINIMUM Figure Requirements:**
| Document Type | Minimum | Recommended | |--------------|---------|-------------| | Research Papers | 5 | 6-8 | | Literature Reviews | 4 | 5-7 | | Market Research | 20 | 25-30 | | Presentations | 1/slide | 1-2/slide | | Posters | 6 | 8-10 | | Grants | 4 | 5-7 | | Clinical Reports | 3 | 4-6 |
**Use scientific-schematics EXTENSIVELY for technical diagrams:** ```bash python scripts/generate_schematic.py "your diagram description" -o figures/output.png ```
- Study design and methodology flowcharts (CONSORT, PRISMA, STROBE) - Conceptual framework diagrams - Experimental workflow illustrations - Data analysis pipeline diagrams - Biological pathway or mechanism diagrams - System architecture visualizations - Neural network architectures - Decision trees, algorithm flowcharts - Comparison matrices, timeline diagrams - Any technical concept that benefits from schematic visualization
**Use generate-image EXTENSIVELY for visual content:** ```bash python scripts/generate_image.py "your image description" -o figures/output.png ```
- Photorealistic illustrations of concepts - Medical/anatomical illustrations - Environmental/ecological scenes - Equipment and lab setup visualizations - Artistic visualizations, infographics - Cover images, header graphics - Product mockups, prototype visualizations - Any visual that enhances understanding or engagement
The AI will automatically: - Create publication-quality images with proper formatting - Review and refine through multiple iterations - Ensure accessibility (colorblind-friendly, high contrast) - Save outputs in the figures/ directory
**When in Doubt, Generate a Figure:** - Complex concept → generate a schematic - Data discussion → generate a visualization - Process description → generate a flowchart - Comparison → generate a comparison diagram - Reader benefit → generate a visual
For detailed guidance, refer to the scientific-schematics and generate-image skill documentation.
---
## Core Capabilities
### 1. Manuscript Structure and Organization
**IMRAD Format**: Guide papers through the standard Introduction, Methods, Results, And Discussion structure used across most scientific disciplines. This includes: - **Introduction**: Establish research context, identify gaps, state objectives - **Methods**: Detail study design, populations, procedures, and analysis approaches - **Results**: Present findings objectively without interpretation - **Discussion**: Interpret results, acknowledge limitations, propose future directions
For detailed guidance on IMRAD structure, refer to `references/imrad_structure.md`.
**Alternative Structures**: Support discipline-specific formats including: - Review articles (narrative, systematic, scoping) - Case reports and case series - Meta-analyses and pooled analyses - Theoretical/modeling papers - Methods papers and protocols
### 2. Section-Specific Writing Guidance
**Abstract Composition**: Craft concise, standalone summaries (100-250 words) that capture the paper's purpose, methods, results, and conclusions. Support both structured abstracts (with labeled sections) and unstructured single-paragraph formats.
**Introduction Development**: Build compelling introductions that: - Establish the research problem's importance - Review relevant literature systematically - Identify knowledge gaps or controversies - State clear research questions or hypotheses - Explain the study's novelty and significance
**Methods Documentation**: Ensure reproducibility through: - Detailed participant/sample descriptions - Clear procedural documentation - Statistical methods with justification - Equipment and materials specifications - Ethical approval and consent statements
**Results Presentation**: Present findings with: - Logical flow from primary to secondary outcomes - Integration with figures and tables - Statistical significance with effect sizes - Objective reporting without interpretation
**Discussion Construction**: Synthesize findings by: - Relating results to research questions - Comparing with existing literature - Acknowledging limitations honestly - Proposing mechanistic explanations - Suggesting practical implications and future research
### 3. Citation and Reference Management
Apply citation styles correctly across disciplines. For comprehensive style guides, refer to `references/citation_styles.md`.
**Major Citation Styles:** - **AMA (American Medical Association)**: Numbered superscript citations, common in medicine - **Vancouver**: Numbered citations in square brackets, biomedical standard - **APA (American Psychological Association)**: Author-date in-text citations, common in social sciences - **Chicago**: Notes-bibliography or author-date, humanities and sciences - **IEEE**: Numbered square brackets, engineering and computer science
**Best Practices:** - Cite primary sources when possible - Include recent literature (last 5-10 years for active fields) - Balance citation distribution across introduction and discussion - Verify all citations against original sources - Use reference management software (Zotero, Mendeley, EndNote)
### 4. Figures and Tables
Create effective data visualizations that enhance comprehension. For detailed best practices, refer to `references/figures_tables.md`.
**When to Use Tables vs. Figures:** - **Tables**: Precise numerical data, complex datasets, multiple variables requiring exact values - **Figures**: Trends, patterns, relationships, comparisons best understood visually
**Design Principles:** - Make each table/figure self-explanatory with complete captions - Use consistent formatting and terminology across all display items - Label all axes, columns, and rows with units - Include sample sizes (n) and statistical annotations - Follow the "one table/figure per 1000 words" guideline - Avoid duplicating information between text, tables, and figures
**Common Figure Types:** - Bar graphs: Comparing discrete categories - Line graphs: Showing trends over time - Scatterplots: Displaying correlations - Box plots: Showing distributions and outliers - Heatmaps: Visualizing matrices and patterns
### 5. Reporting Guidelines by Study Type
Ensure completeness and transparency by following established reporting standards. For comprehensive guideline details, refer to `references/reporting_guidelines.md`.
**Key Guidelines:** - **CONSORT**: Randomized controlled trials - **STROBE**: Observational studies (cohort, case-control, cross-sectional) - **PRISMA**: Systematic reviews and meta-analyses - **STARD**: Diagnostic accuracy studies - **TRIPOD**: Prediction model studies - **ARRIVE**: Animal research - **CARE**: Case reports - **SQUIRE**: Quality improvement studies - **SPIRIT**: Study protocols for clinical trials - **CHEERS**: Economic evaluations
Each guideline provides checklists ensuring all critical methodological elements are reported.
### 6. Writing Principles and Style
Apply fundamental scientific writing principles. For detailed guidance, refer to `references/writing_principles.md`.
**Clarity**: - Use precise, unambiguous language - Define technical terms and abbreviations at first use - Maintain logical flow within and between paragraphs - Use active voice when appropriate for clarity
**Conciseness**: - Eliminate redundant words and phrases - Favor shorter sentences (15-20 words average) - Remove unnecessary qu
Source provenance
Decision snapshot
3,651 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
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Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for scientific-writing, ready for a manual X post.
scientific-writing: Core skill for the deep research and writing tool. Write scientific manuscripts in full parag... 3.7K stars https://www.openagentskill.com/skills/brycewang-stanford-scientific-writing?ref=x
Listing + install path for scientific-writing: https://www.openagentskill.com/skills/brycewang-stanford-scientific-writing?ref=x Install: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientif...
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@brycewang-stanford
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mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsPermission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness