Explore AI Agent Skills & Claude Prompts

Orchestrates systematic reviews, scoping reviews, evidence maps, meta-analyses, umbrella reviews, and AI-assisted evidence synthesis. Use when designing protocols, eligibility criteria, search strategies, screening workflows, coding manuals, effect-size plans, synthesis reports, or reproducible evidence-review packages.

environment-life-review-forge

Adapts evidence synthesis workflows for environmental, ecological, biomedical, and life-science questions. Use for PECO/PICO frameworks, exposure-outcome reviews, ecological heterogeneity, dose-response evidence, risk-of-bias planning, environmental indicators, NDVI or vegetation-index models, partial least squares regression, PLS VIP audits, ecosystem-service relationships, ESR synergy/trade-off mapping, interpretable machine learning, GWR/XGBoost spatial modeling, threshold-oriented ecological management, optimal interval identification, air pollution crop-yield models, ozone/aerosol food-security co-benefits, SIF-based crop productivity, soil biodiversity, aridity gradients, ecosystem stability, climate-stress moderation, soil fauna meta-analysis, ant-mediated carbon cycling, SOC and CO2 dual-outcome synthesis, organism/tissue/time-scale coding, wetland methane scaling, small-patch geospatial upscaling, cryosphere or permafrost evidence products, near-surface ground ice mapping, geospatial environmental ma

meta-analysis-forge

Designs and audits first-order meta-analyses of primary studies. Use for effect-size extraction, effect-size harmonization, fixed/random/multilevel models, robust variance estimation, heterogeneity, prediction intervals, meta-regression, publication-bias diagnostics, sensitivity checks, coding sheets, reproducible meta-analysis reports, ecological meta-analysis, ecological meta-analysis plus random forest or path modeling, soil-carbon meta-analysis, stock-versus-flux outcome separation, and trait-mediated moderator design.

umbrella-review-skeptic

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.

prediction-modeling-forge

Builds and audits tabular-data prediction-model workflows for research papers. Use for clinical, environmental, biological, social-science, environmental-economics, or economics prediction models; tidymodels, random forest, XGBoost, logistic-regression baselines, partial least squares regression, PLS VIP, NDVI or environmental indicator models, enterprise carbon-emission forecasting, stable time-series prediction, causal-invariant prediction, distribution shift, cross-region/cross-industry/cross-policy validation, train/test splits, cross-validation, hyperparameter tuning, ROC/AUC, calibration, decision-curve analysis, bootstrap uncertainty, confidence intervals, prediction bands, variable importance, leakage checks, and manuscript-ready methods/results language.

sustainability-assessment-forge

Builds and audits sustainability-assessment workflows for research papers and emerging technologies. Use for life cycle assessment, LCA, life cycle inventory, LCIA framing, techno-economic analysis, TEA, CAPEX and OPEX review, minimum selling price, levelized cost logic, uncertainty analysis, sensitivity analysis, scenario design, process comparison, scale-up realism, commercialization readiness, electrochemical process papers, catalytic systems, carbon management, circular-economy technologies, agriculture and bioresource process assessment, biomass conversion, agricultural residues, waste-to-value systems, anaerobic digestion, digester microbiome-metabolome systems, biorefineries, fertilizer substitution, electricity-mix assumptions, coproduct treatment, functional units, system boundaries, burden shifting, safe-boundary framing, policy-portfolio comparison, and manuscript-ready sustainability interpretation.

econ-identification-skeptic

Acts as a skeptical applied-economics identification reviewer. Use when evaluating DID, IV, RDD, event-study, panel fixed effects, synthetic control, matching, or causal ML designs; auditing robustness checks; preparing referee-style critiques; assigning causal-credibility verdicts; or strengthening the identification section of an empirical economics paper.

empirical-research-forge

Orchestrates bilingual empirical research workflows from research question to reproducible paper package. Use when writing, reviewing, replicating, or packaging empirical economics/social-science papers; designing DID, IV, RDD, event-study, panel, synthetic-control, matching, or causal ML workflows; auditing tables and identification claims; checking method-source alignment; or turning research practice into reusable agent skills.