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Research Paper Literature Review Synthesizer
Research Paper Literature Review. Synthesize academic papers into traceable literature reviews with evidence matrices and gap analysis.
$9.99
Research Paper Literature Review Synthesizer
Example session with this skill installed
Synthesize these three abstracts on remote work productivity. The research question is: How does remote work impact software developer velocity? Use APA style.
- Read your context and instructions
- Compiled the research paper literature
I have synthesized the three provided abstracts regarding remote work and software developer velocity. I have flagged missing DOI information for two sources.
Literature Review Synthesis
1. Source Inventory
| Author(s) | Year | Title | Venue | Status |
|---|---|---|---|---|
| Chen, J. | 2023 | Velocity in Distributed Teams | J. Soft. Eng. | Full Abstract |
| Miller & Tan | 2022 | The Commute Effect | Tech Review | Abstract |
| Smith, A. | 2024 | Remote Pair Programming | DevQ | Abstract |
2. Evidence Matrix
| Source | Question | Method | Main Findings | Limitations |
|---|---|---|---|---|
| Chen (2023) | Impact on sprint points | Quantitative / 500 devs | 12% increase in velocity | Self-reported data |
| Miller (2022) | Time to ship features | Case study | Neutral impact; higher churn | Small sample size |
| Smith (2024) | Collaborative speed | Qualitative | Social isolation slows review | Focused on pair-coding |
3. Thematic Synthesis
The corpus suggests a tension between individual output and collaborative speed.
Chen (2023) notes a quantitative rise in individual velocity, likely due to reduced interruptions. However,
Smith (2024) highlights that "asynchronous bottlenecks" in peer review offset these gains.
4. Potential Research Gaps
- Longitudinal effects: All supplied studies cover periods under 12 months.
- Tooling impact: None of the papers explicitly control for the specific IDE or communication stack used.
5. Suggested Review Outline
- Introduction: The shift to remote dev work.
- Individual vs. Team Velocity metrics.
- The role of asynchronous communication bottlenecks.
- Methodological differences in velocity measurement.
- Conclusion: The net-neutrality hypothesis.
Next steps
- Provide the full PDF for Miller & Tan (2022) to verify the "higher churn" metric.
- Confirm if you want to include "social isolation" as a primary thematic category.
- Verify the DOI for the Smith (2024) abstract.
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About this skill
Synthesizing academic literature is a slow, error-prone process that often leads to shallow summaries rather than deep analysis. This skill automates the heavy lifting of source inventory and evidence extraction while maintaining strict academic integrity. It prevents the common AI failure of "hallucinating" citations by enforcing a source-only evidence policy.
What it does
- Source inventorying creates a structured log of authors, years, titles, and DOIs for all supplied materials.
- Evidence extraction captures methods, populations, and findings strictly from the provided text.
- Matrix construction builds a comparative table to map findings across the entire corpus.
- Thematic synthesis groups papers by theoretical frameworks or methodologies to find patterns.
- Gap identification flags potential research voids and conflicting evidence in the current source set.
How it works
- Define scope by submitting your research question and inclusion criteria to establish boundaries.
- Ingest papers by providing abstracts, notes, or full text for the agent to inventory.
- Generate synthesis to receive a structured evidence matrix and thematic breakdown.
- Refine outline using the generated literature review structure as a roadmap for your draft.
Frameworks & tools
This skill is designed for academic researchers and graduate students using Claude, ChatGPT, or Cursor. It works with standard bibliographic data and markdown-compatible citation formats like APA, MLA, or Chicago.
Why this beats prompting it yourself
Generic prompts often invent citations or merge separate studies into a single vague claim. This skill uses a multi-step verification process to ensure every assertion is tied to a specific page or section in your provided sources.
Use cases
- Drafting the literature review chapter for a thesis or dissertation.
- Building an evidence matrix for a systematic review protocol.
- Comparing conflicting results across multiple clinical or social science trials.
- Identifying under-studied populations in a specific research niche.
Known limitations
This skill cannot perform external database searches or access paywalled papers. Synthesis is strictly limited to the text you provide. It does not perform formal meta-analysis or statistical grading.
Cannot access external databases or paywalled PDFs. Synthesis is strictly limited to provided text. Does not perform formal meta-analysis or statistical evidence grading.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
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- 3
Ask for what you need
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