academic-writing-standards
Expert knowledge of academic writing standards for peer-reviewed papers, including citation integrity, style compliance, clarity, and scientific writing best practices. Use when reviewing or editing academic manuscripts, papers, or research documentation.
Best use case
academic-writing-standards is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Expert knowledge of academic writing standards for peer-reviewed papers, including citation integrity, style compliance, clarity, and scientific writing best practices. Use when reviewing or editing academic manuscripts, papers, or research documentation.
Teams using academic-writing-standards 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/academic-writing-standards/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How academic-writing-standards Compares
| Feature / Agent | academic-writing-standards | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Expert knowledge of academic writing standards for peer-reviewed papers, including citation integrity, style compliance, clarity, and scientific writing best practices. Use when reviewing or editing academic manuscripts, papers, or research documentation.
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
# Academic Writing Standards
This skill provides expertise in academic writing standards for peer-reviewed research papers, ensuring clarity, rigour, and adherence to scientific writing conventions.
## Core Writing Principles
### Clarity and Directness
**Prioritise:**
- Clarity over eloquence
- Precision over persuasion
- Simple constructions over complex ones
- Active voice wherever possible
**Avoid:**
- Unnecessary adjectives and adverbs
- Overstatement and hyperbole
- Excessive qualification ("very", "clearly", "significantly", "novel")
- Complex punctuation where simpler alternatives work
### Style Transformations
**Examples of preferred style:**
```
Wordy: "The results clearly demonstrate that the novel approach significantly outperforms existing methods"
Better: "The approach outperforms existing methods"
Complex: "The model—which incorporates multiple data sources; including case counts, hospitalisations, and genomic data—provides insights"
Better: "The model incorporates case counts, hospitalisations, and genomic data. It provides insights"
Passive: "It was found that the infection rate was increasing"
Active: "We found the infection rate increased"
Hedged: "It appears that the results seem to suggest that there might be a relationship"
Direct: "The results suggest a relationship"
```
### Punctuation Simplification
**Avoid semicolons** when possible:
```
Avoid: "The model includes three components; case counts, delays, and reporting rates"
Better: "The model includes three components: case counts, delays, and reporting rates"
Or: "The model includes three components. These are case counts, delays, and reporting rates"
```
**Avoid excessive em-dashes:**
```
Avoid: "The approach—which we developed over three years—shows promise"
Better: "The approach shows promise. We developed it over three years"
```
**Simplify nested clauses:**
```
Avoid: "The method, which incorporates data from multiple sources, including surveillance systems, which track cases daily, and laboratory reports, provides estimates"
Better: "The method incorporates data from surveillance systems and laboratory reports. It provides estimates"
```
## Formatting Standards
### Document Structure
- **One sentence per line** in markdown format
- **Maximum 80 characters per line**
- **UK English** spelling (favour, colour, modelling, analyse)
- No trailing whitespace
- No spurious blank lines
### Mathematical Notation
- Use proper LaTeX formatting in appropriate contexts
- Define all notation clearly on first use
- Keep mathematical exposition accessible
## Citation and Reference Standards
### Citation Format Checking
**Common formats to verify:**
- Pandoc markdown: `[@author2024]`, `[@author2024; @other2023]`
- Multiple citations: `[@first2024; @second2024]`
- In-text citations: `@author2024 showed that...`
### Reference Integrity
**Check for:**
- Placeholder citations: `[@placeholder]`, `[@TODO]`, `[@CITE]`
- Malformed citations: Missing brackets, typos in citation keys
- Dangling references: Citations in text without corresponding bibliography entries
- Unused references: Bibliography entries never cited
**Citation consistency:**
- Verify citation keys follow consistent naming (e.g., `authorYear`, `author_year`)
- Check citation formatting matches throughout document
- Ensure proper use of et al. in multi-author citations
### Bibliography Verification
**When .bib file available:**
- Cross-reference every citation against bibliography
- Check for missing entries
- Verify citation keys match exactly
- Note any formatting inconsistencies in bibliography
**When .bib file unavailable:**
- Flag that references cannot be fully verified
- Suggest author independently verify all citations
- Check citation formatting consistency in text
## Originality and Attribution
### Identifying Potential Issues
**Flag text that:**
- Uses distinctive phrasing that may be borrowed
- Contains technical descriptions matching common sources
- Includes sequences of concepts in specific order suggesting copying
- Lacks clear paraphrasing when discussing others' work
**Not plagiarism checking:**
- Cannot definitively identify plagiarism
- Flags passages requiring author verification
- Suggests paraphrasing where appropriate
- Encourages proper attribution
### Proper Paraphrasing Guidance
**Poor paraphrasing:**
```
Original: "The model incorporates a hierarchical Bayesian structure with conjugate priors"
Poor: "The approach uses a hierarchical Bayesian framework with conjugate priors"
```
**Good paraphrasing:**
```
Better: "We used Bayesian hierarchical modelling with conjugate prior distributions"
```
## Common Writing Issues
### Overused Qualifiers
**Remove or replace:**
- "clearly", "obviously", "evidently" → Often unnecessary, let evidence speak
- "very", "quite", "rather" → Use stronger base word
- "significantly" → Reserve for statistical significance
- "novel", "new" → Show novelty through comparison, don't claim it
- "state-of-the-art" → Demonstrate through benchmarking
### Vague Language
**Replace with specifics:**
```
Vague: "The model performed well"
Specific: "The model achieved 95% accuracy"
Vague: "We used a large dataset"
Specific: "We used a dataset of 10,000 cases"
Vague: "Results improved substantially"
Specific: "Accuracy improved from 80% to 92%"
```
### Redundancy
**Common redundancies to fix:**
- "past history" → "history"
- "future plans" → "plans"
- "end result" → "result"
- "basic fundamentals" → "fundamentals"
- "completely finished" → "finished"
## Field-Specific Conventions
### Epidemiology and Public Health
- Use "infection" not "case" when referring to true infections
- Distinguish "reported cases" from "infections"
- Use "reproduction number" not "R value" in formal writing
- Define abbreviations on first use: "reproduction number (R)"
### Statistical Reporting
- Report confidence/credible intervals: "estimate (95% CI: lower, upper)"
- Use "uncertainty interval" for Bayesian analyses
- Report p-values accurately: "p < 0.001" not "p = 0.000"
- Distinguish statistical significance from practical importance
### Computational Methods
- Use "implementation" not "coding"
- "Algorithm" for theoretical description, "implementation" for code
- Report computational resources when relevant
- Specify software versions and packages
## Review Structure
When reviewing academic writing, structure feedback as:
1. **Reference Issues**
- Citation formatting problems
- Placeholder citations
- Missing bibliography entries
- Inconsistencies in citation style
2. **Attribution Concerns**
- Passages requiring verification
- Suggestions for better paraphrasing
- Unclear sourcing of ideas
3. **Style Improvements**
- Clarity and conciseness suggestions
- Active voice conversions
- Simplified sentence structures
- Removed unnecessary qualifiers
4. **Formatting Issues**
- Line length violations
- Formatting inconsistencies
- Spelling (UK vs US English)
## When to Apply This Skill
Use these standards when:
- Reviewing academic manuscripts
- Editing research papers
- Preparing submissions to journals
- Writing methods sections
- Drafting discussion sections
- Revising based on reviewer comments
Maintain scientific rigour whilst improving readability.
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