
Related Work Writing
Writes Related Work sections for academic papers by organizing literature into thematic clusters rather than chronological lists. It analyzes your paper draft to identify key contributions, groups prior work by research direction, and generates paragraphs that compare and contrast instead of just summarizing. The workflow pushes you to be fair but critical, explaining why similar methods don't apply to your setting or why you didn't include them in experiments. Honestly, the real value is in the structure it enforces: topic sentence, describe key works, explicit comparison to your approach, transition. It assumes you've already done the literature collection and just need help turning a pile of citations into coherent, positioned prose. Best used when you have BibTeX entries ready and a clear methods section to work from.
- skills.sh installs
- 1.7K
- GitHub stars
- 459
- last updated
- Aug 21, 2026
Install
$ npx -y skills add lingzhi227/agent-research-skills --skill related-work-writing --agent claude-codeInstalls into .claude/skills of the current project.
Files
Related Work Writing
Generate publication-quality Related Work sections with proper citations and thematic organization.
Input
$0— Current paper draft or method description$1— Collected literature (BibTeX entries, paper summaries, or literature review notes)
References
- Related work writing prompts and strategies:
~/.claude/skills/related-work-writing/references/related-work-prompts.md
Workflow
Step 1: Analyze the Paper's Contributions
- Read the current paper draft (especially Methods and Introduction)
- Identify the key contributions and novelty claims
- List the technical components that need literature context
Step 2: Organize Literature by Theme
Group related papers into thematic clusters:
- Each cluster should represent a research direction or technique
- Common themes: problem formulation, methodology family, application domain, evaluation approach
- Order themes from most to least relevant to your work
Sponsors
Details
- Repository
- github.com/lingzhi227/agent-research-skills
- Categories
- Documentation, AI & Agent Building, Data Science & ML
- First seen
- Jun 3, 2026
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