scientific-thinking-literature-review
Helps your agent conduct systematic reviews of scientific literature. It's useful for compiling and understanding research on a topic.
What it does
This tool helps organize and summarize information from scientific papers. It searches, screens, synthesizes, and cites research on a specific topic.
When to use it
- ✓To create an organized summary of papers on a topic.
- ✓To find out what is already known about a research question.
- ✓To identify what still needs to be researched.
Example of what to ask your AI
“I want to review the use of AI in medicine. Can you help me find and organize the most important papers?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The AI first understands your question and plans how to search for papers in scientific databases. Then, it searches for articles, checks which ones are relevant, extracts important information, and organizes it into a cohesive summary.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add affaan-m/ECC --skill scientific-thinking-literature-reviewOr download just the file:
curl -L https://raw.githubusercontent.com/affaan-m/ECC/main/skills/scientific-thinking-literature-review/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Literature Review
Use this skill when the task is to find, screen, synthesize, and cite a body of academic or technical literature.
When to Use
- Building a systematic, scoping, or narrative literature review.
- Synthesizing the state of the art for a research question.
- Finding gaps, contradictions, or future-work directions.
- Preparing citation-backed background sections for papers or reports.
- Comparing evidence across peer-reviewed papers, preprints, patents, and technical reports.
Review Types
- Narrative review: broad synthesis; useful for orientation.
- Scoping review: maps concepts, methods, and evidence gaps.
- Systematic review: predefined protocol, reproducible search, explicit screening and exclusion.
- Meta-analysis: systematic review plus quantitative effect aggregation.
Ask the user which level of rigor is needed. If unspecified, default to a scoping review for exploratory work and a systematic review for publication or clinical claims.
Workflow
1. Define the Question
Convert the prompt into a searchable research question.
For clinical or biomedical work, use PICO:
- Population
- Intervention or exposure
- Comparator
- Outcome
For technical work, use:
- system or domain
- method or intervention
- comparison baseline
- evaluation metric
2. Plan the Search
Create a search protocol before collecting sources:
- databases to search
- date range
- languages
- publication types
- inclusion criteria
- exclusion criteria
- exact search strings
Minimum useful database set:
- PubMed for biomedical and life-sciences literature.
- arXiv for CS, math, physics, quantitative biology, and preprints.
- Semantic Scholar or Crossref for broad academic discovery.
- Domain-specific sources when relevant, such as clinical-trial registries, patent databases, standards bodies, or official technical docs.
3. Search and Log Evidence
Keep a search log that makes the review reproducible:
| Database | Date searched | Query | Filters | Results | Export |
| --- | --- | --- | --- | ---: | --- |
| PubMed | 2026-05-11 | `("CRISPR"[tiab] OR "Cas9"[tiab]) AND "sickle cell"[tiab]` | 2020:2026, English | 86 | PMID list |
| arXiv | 2026-05-11 | `CRISPR sickle cell gene editing` | q-bio, 2020:2026 | 9 | BibTeX |
Save raw IDs, URLs, DOIs, abstracts, and notes separately from the final prose.
4. Deduplicate
Deduplicate in this order:
- DOI
- PMID or arXiv ID
- exact title
- normalized title plus first author and year
Record how many duplicates were removed.
5. Screen Sources
Screen in stages:
- title
- abstract
- full text
For systematic work, record exclusion reasons:
- wrong population
- wrong intervention
- wrong outcome
- not primary research
- duplicate
- unavailable full text
- outside date range
6. Extract Data
Use a structured extraction table:
| Study | Design | Population/Data | Method | Comparator | Outcome | Key finding | Limitations |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Author Year | RCT/cohort/review/etc. | sample or corpus | method | baseline | measured outcome | result | caveat |
For technical papers, include dataset, benchmark, metric, baseline, and reproducibility notes.
7. Synthesize
Group evidence by theme rather than summarizing papers one by one.
Useful synthesis lenses:
- strongest evidence
- conflicting evidence
- methodological weaknesses
- population or dataset limits
- recency and replication
- practical implications
- unanswered questions
Separate claims by confidence:
- High confidence: replicated, high-quality evidence across sources.
- Medium confidence: plausible but limited by sample, method, or recency.
- Low confidence: early, speculative, single-source, or weakly measured.
8. Verify Citations
Before finalizing:
- verify DOI, PMID, arXiv ID, or official URL
- check author names and publication year
- do not cite a paper for a claim it does not make
- mark preprints as preprints
- distinguish reviews from primary evidence
Output Template
# Literature Review: <Topic>
Generated: <date>
Review type: <narrative | scoping | systematic | meta-analysis>
Search window: <dates>
Databases: <list>
## Research Question
## Search Strategy
## Inclusion and Exclusion Criteria
## Evidence Summary
## Thematic Synthesis
## Gaps and Limitations
## References
## Search Log
Pitfalls
…
FAQ
What types of papers can it review?
It can review academic, biomedical, technical, and scientific papers, including published research, preprints, patents, and technical reports.
What does 'synthesize' mean in this context?
Synthesizing means bringing together information from multiple papers to create an overall understanding of the topic, rather than just summarizing each paper individually.
How does it ensure the review is reliable?
It follows a step-by-step process, recording searches, selection criteria, and sources, which makes the review more transparent and reproducible.
Details
Original description by the author
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging. Use when the task is to find, screen, synthesize, and cite a body of academic or technical literature.
repo: affaan-m/ECC
Popularity
- GitHub stars
- 280k
- Ranking position
- #277
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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