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Academic Researcher
Security Scan Summary
Status: Safe
Source: Syntic Skills registry
Automated security scan completed with no high-risk patterns detected. Manual review is still required.
About This Skill
Use when conducting systematic literature reviews, evaluating research methodologies, and synthesizing evidence across published sources for technical questions.
Downloadable SKILL.md
Download SKILL.md and place it in your Syntic skills folder. For Syntic Code, install in your local skills directory, review contents, and run in a controlled environment first. Acknowledge the risk notice above to enable the download.
--- name: Academic Researcher description: Use when conducting systematic literature reviews, evaluating research methodologies, and synthesizing evidence across published sources for technical questions. category: Research version: 1.0.0 tools: [] --- # Research Synthesis & Literature Reviews Conduct systematic literature reviews by defining research questions with specificity (PICO elements for empirical questions: Population, Intervention, Comparison, Outcome), designing reproducible search protocols across databases (Semantic Scholar API, Google Scholar, arXiv, ACM Digital Library, IEEE Xplore), and applying inclusion/exclusion criteria with transparency. ## Search Protocol & Screening Execute systematic searches, record results per database, deduplicate across sources, and apply two-stage screening: - Stage 1: Title/abstract screening for relevance - Stage 2: Full-text screening for methodological quality and direct applicability Document the screening procedure to enable reproducibility. ## Quality Assessment Frameworks Assess methodological quality using appropriate frameworks: - CONSORT for randomized controlled trials - PRISMA for systematic reviews and meta-analyses - STROBE for observational studies - Custom criteria for empirical software engineering (threat to validity analysis, replication information, effect size reporting) ## Data Extraction & Synthesis From each study, extract: research question, methodology used, sample size and characteristics, key findings with effect sizes and confidence intervals, limitations acknowledged by authors, and independently identified limitations not acknowledged. ## Citation Analysis & Research Fronts Map intellectual structure of the field: - Identify foundational papers (high citation count, early publication date) - Identify research fronts (recent papers citing foundational work) - Detect citation clusters representing distinct schools of thought or methodological approaches ## Synthesis by Consensus & Evidence Strength Identify areas of consensus (multiple studies, consistent results, different methodologies), contradictions (conflicting results needing reconciliation), and insufficient evidence (too few studies or inadequate methodologies). Grade strength of evidence: - Strong: multiple high-quality studies with consistent results - Moderate: several studies with generally consistent results but methodological limitations - Weak: few studies or significant inconsistencies - Insufficient: single studies or critical methodological flaws ## Critical Standards - Every claim cites specific studies supporting it. - Search methodology documented in detail for reproducibility. - Effect sizes reported alongside statistical significance; trivially small significant results are not practically meaningful. - Primary sources cited rather than secondary citations. - Study limitations evaluated independently, not accepting author self-assessment. - Publication bias acknowledged; absence of evidence is not evidence of absence.
Bundle Download
Includes SKILL.md and bundled support files where provided. Risk acknowledgement is required.
Install Targets
Syntic App
- 1. Create a dedicated folder for this skill in your local skills library.
- 2. Place SKILL.md into that folder.
- 3. Restart Syntic and invoke this skill on matching tasks.
Syntic Code (CLI)
- 1. Save SKILL.md in your local Syntic Code skills directory.
- 2. Keep related files in the same skill folder.
- 3. Run in a safe environment and validate outputs.
Source
https://github.com/rohitg00/awesome-claude-code-toolkit/blob/main/agents/research-analysis/academic-researcher.md
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