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    Research Paper Literature Review Synthesizer

    1

    Research Paper Literature Review. Synthesize academic papers into traceable literature reviews with evidence matrices and gap analysis.

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    Research Paper Literature Review Synthesizer

    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)YearTitleVenueStatus
    Chen, J.2023Velocity in Distributed TeamsJ. Soft. Eng.Full Abstract
    Miller & Tan2022The Commute EffectTech ReviewAbstract
    Smith, A.2024Remote Pair ProgrammingDevQAbstract

    2. Evidence Matrix

    SourceQuestionMethodMain FindingsLimitations
    Chen (2023)Impact on sprint pointsQuantitative / 500 devs12% increase in velocitySelf-reported data
    Miller (2022)Time to ship featuresCase studyNeutral impact; higher churnSmall sample size
    Smith (2024)Collaborative speedQualitativeSocial isolation slows reviewFocused 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

    1. Introduction: The shift to remote dev work.
    2. Individual vs. Team Velocity metrics.
    3. The role of asynchronous communication bottlenecks.
    4. Methodological differences in velocity measurement.
    5. 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.

    Connects securely to your tools. The creator never sees your data.

    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

    1. Define scope by submitting your research question and inclusion criteria to establish boundaries.
    2. Ingest papers by providing abstracts, notes, or full text for the agent to inventory.
    3. Generate synthesis to receive a structured evidence matrix and thematic breakdown.
    4. 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. 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. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    What's inside

    Frequently Asked Questions

    The skill employs a strict 'source-only' evidence policy and a multi-step verification process that anchors every claim to your provided text, preventing the common AI issue of fabricated citations.

    You will receive the proprietary agent system prompt, a structured workflow guide, and templates for evidence matrices and gap analysis to ensure high-quality academic output.

    This skill is optimized for Claude, ChatGPT (GPT-4), and Cursor; it works with any platform that supports markdown-compatible citation formats like APA, MLA, or Chicago.

    No, the skill operates strictly on the text you provide; it cannot bypass paywalls or search external databases like PubMed or Google Scholar independently.

    Simply import the provided logic into your preferred AI agent interface and follow the 'Define Scope' step to establish your research question and inclusion criteria.

    While the skill provides a deep thematic synthesis and evidence matrix, it does not perform formal statistical meta-analysis or quantitative grading of study quality.

    New in Research & Analysis