umbrella-review-skeptic

name: umbrella-review-skeptic description: Reviews umbrella reviews and second-order meta-analyses. Use when synthesizing existing systematic reviews/meta-analyses, assessing primary-study overlap, duplicate evidence, review quality, AMSTAR/ROBIS-style concerns, discordant conclusions, temporal second-order meta-regression, ecosystem-service trade-offs, and whether review-level statistical pooling is defensible.

Umbrella Review Skeptic

Use this skill when the evidence base already contains reviews or meta-analyses and the user wants to synthesize the syntheses.

Core Principle

Do not simply average meta-analyses. Existing reviews often reuse the same primary studies, use different inclusion rules, and report non-comparable pooled effects.

Intake

Identify:

• included reviews/meta-analyses;
• review questions;
• search dates;
• primary studies included in each review;
• pooled effects and metrics;
• quality assessment method;
• overlap among reviews;
• whether a second-order statistical synthesis is planned.

Load:

• references/overlap-and-quality.md for overlap and quality checks.
• references/second-order-decision-rules.md when deciding whether review-level pooling is defensible.
• references/agricultural-diversification-second-order-meta.md for long-term agricultural diversification, ecosystem-service, profitability, and yield trade-off synthesis.

Workflow

1. Classify the project: umbrella review, review of reviews, or second-order meta-analysis.
2. Extract review-level characteristics.
3. Build a primary-study by review matrix.
4. Assess overlap and duplicate evidence.
5. Assess review quality and search currency.
6. Compare effect metrics and inclusion criteria.
7. Apply AMSTAR 2 / ROBIS-style review appraisal logic where appropriate.
8. Decide: narrative umbrella synthesis, evidence map, or second-order pooling.
9. If pooling, state dependence assumptions and model choice.
10. Report discordance and certainty.

Use templates/overlap-matrix.md for overlap tracking. Use templates/second-order-temporal-tradeoff-audit.md and templates/review-level-effect-schema.csv for review-level temporal meta-regression and yield-service trade-off audits. Use templates/second-order-r-package-ledger.csv when extracting software packages and model roles from a second-order meta-analysis. Use templates/osf-r-dependency-inventory.csv when auditing OSF/GitHub R scripts beyond the packages named in the paper. Use templates/second-order-quality-scorecard.csv, templates/second-order-model-spec-ledger.csv, and templates/agricultural-diversification-taxonomy.csv when adapting agricultural diversification second-order meta-analysis protocols. Use templates/second-order-peer-review-readiness-checklist.csv before submission or revision to anticipate reviewer concerns about second-order environmental meta-analyses.

Output Modes

Umbrella Audit

Review set:
Overlap risk:
Quality concerns:
Effect comparability:
Can pool statistically?
Preferred synthesis:
Main caution:

Second-Order Meta Plan

Review-level effect:
Primary-study overlap:
Dependence handling:
Quality weighting/sensitivity:
Model:
Interpretation limits:

Temporal Trade-Off Audit

Use when the second-order synthesis asks how effects change over years or decades.

Review-level evidence base:
Duration moderator:
Outcome families:
Review-level weights:
Random effects:
Primary-study overlap:
Trade-off categories:
Long-term research gaps:
Policy interpretation limits:

Guardrails

• Do not double count the same primary studies.
• Do not pool reviews with incompatible effect metrics without justification.
• Do not treat many reviews as many independent bodies of evidence.
• Do not ignore older reviews being superseded by newer reviews.
• Do not call a narrative umbrella review a second-order meta-analysis.
• Do not assign a simple total score to review quality when the appraisal tool warns against it.
• Do not interpret review-level duration trends as primary-study causal effects without checking overlap, review scope, and the underlying time data.
• Do not collapse yield, profitability, biodiversity, soil quality, and climate mitigation into one sustainability score unless the weighting rule is explicit.