This is the reference manual you want open when writing papers or grants. It walks through research question development using FINER criteria, systematic literature searches with concrete Boolean operators, and the full IMRaD structure with word counts and organization patterns. The citation management section covers BibTeX templates and context-specific citation patterns. What makes it genuinely useful is the specificity: it includes hedging language examples, tense usage by section, and before/after fixes for common writing problems. It also covers newer scholarly infrastructure like CRediT roles, ORCID integration, and Plan S compliance for open access publishing. More workshop handout than theory, which is exactly what you need when you're actually writing.

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Install

$ npx -y skills add jamditis/claude-skills-journalism --skill academic-writing --agent claude-code

Installs into .claude/skills of the current project.

Files

Academic writing and research methodology

Systematic approaches for scholarly writing, research design, and academic communication.

Research design fundamentals

Research question development

## Crafting a research question

### The FINER criteria
- **F**easible: Can you actually do this research?
- **I**nteresting: Does it matter to the field?
- **N**ovel: Does it add new knowledge?
- **E**thical: Can it be done ethically?
- **R**elevant: Does it address a real problem?

### Question types
| Type | Purpose | Example |
|------|---------|---------|
| Descriptive | Document phenomena | "What are the characteristics of X?" |
| Comparative | Compare groups/conditions | "How does X differ between groups?" |
| Correlational | Examine relationships | "Is there a relationship between X and Y?" |
| Causal | Establish causation | "Does X cause Y?" |
| Exploratory | Generate hypotheses | "What factors might explain X?" |

### Refining your question
Start broad → Narrow progressively

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Repository
github.com/jamditis/claude-skills-journalism
Categories
Git & Pull Requests, Documentation, Code Review & Quality, AI & Agent Building, Data Science & ML, Productivity & Planning

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