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Claude Skills by tatashbar
github.com/tatashbar170 skills0 installs0 views
- Literature ReviewReviews the theoretical and empirical literature and existing models in use for a modeling question.Votes: 0GitHub stars: 4
- Local ProjectionsEstimates impulse responses and state-dependent effects with local projections; compares with VAR.Votes: 0GitHub stars: 4
- Milestone ReviewReviews progress against milestones: scope, schedule, risk, quality, dependencies and re-planning.Votes: 0GitHub stars: 4
- Model BriefCreates the model brief: purpose, model class, mechanisms, data, validation level, team, timeline and risks.Votes: 0GitHub stars: 4
- Model CardWrites the model card: purpose, limits, data, performance, validation status, risks and appropriate use.Votes: 0GitHub stars: 4
- Model ReleaseReleases a model version: checks approvals, tags code, data and parameters, updates the registry and writes release notes.Votes: 0GitHub stars: 4
- Model Risk ReviewIndependent model risk review: aggregates validation, ethics, confidentiality and use-limit checks; approves or blocks release.Votes: 0GitHub stars: 4
- Model SpecWrites the model specification: equations, timing, closures, steady state, shocks, observables and known limitations.Votes: 0GitHub stars: 4
- NowcastBuilds and runs a nowcasting system with release calendar, news decomposition and real-time evaluation.Votes: 0GitHub stars: 4
- Policy BriefWrites a policy brief: key message, evidence, risks, options and caveats in plain, honest language.Votes: 0GitHub stars: 4
- Policy SimulationSimulates policy options (rates, fiscal, macroprudential, FX) in the chosen model(s) with welfare and distributional effects.Votes: 0GitHub stars: 4
- Project Stage DetectDetects the project's stage (concept, design, build, estimate, validate, operate) from its files and reports gaps.Votes: 0GitHub stars: 4
- Quick ModelFast path for a small model or back-of-envelope analysis: minimal spec, minimal checks, clear 'not for publication' label.Votes: 0GitHub stars: 4
- ReplicateReplicates results from the replication package on a clean environment and traces published numbers to code and data.Votes: 0GitHub stars: 4
- RetrospectiveRuns a retrospective on a forecast round, model build or project: what worked, what failed, what to change.Votes: 0GitHub stars: 4
- Robustness CheckTests conclusions under alternative models, identification schemes, samples, priors and data vintages.Votes: 0GitHub stars: 4
- Scenario AnalysisDesigns and runs scenarios and risk assessments with consistent assumptions across models.Votes: 0GitHub stars: 4
- Scope QuestionTurns a policy question into a precise modeling question: decision, audience, horizon, outputs and acceptable uncertainty.Votes: 0GitHub stars: 4
- Select Model ClassRecommends the model class for a question (small/medium/large; traditional, structural, data-driven, AI) with trade-offs and benchmarks.Votes: 0GitHub stars: 4
- Sensitivity AnalysisRuns global sensitivity and uncertainty analysis to rank assumptions and parameters that drive results.Votes: 0GitHub stars: 4
- SettingsViews or changes studio configuration: rigor level, default languages, review requirements and confidentiality defaults.Votes: 0GitHub stars: 4
- Setup EnvironmentSets up language toolchains, project folders, data classification levels and studio configuration for the chosen model stack.Votes: 0GitHub stars: 4
- Spillover AnalysisQuantifies cross-country spillovers from a global shock using multiple models and country-vulnerability measures.Votes: 0GitHub stars: 4
- StartFirst-time entry point. Asks what you want to model, detects project stage, and routes you to the right workflow.Votes: 0GitHub stars: 4
- Stress TestRuns macro-financial stress tests: scenario design, satellite models, bank and sector results, policy implications.Votes: 0GitHub stars: 4
- Supply Chain ShockAnalyzes sectoral and supply-chain shocks with input-output and production-network models: propagation, bottlenecks, and price and quantity effects.Votes: 0GitHub stars: 4
- Team Ai ModelOrchestrates an AI model project end to end: benchmark first, AI build, interpretation, audit, MLOps and release.Votes: 0GitHub stars: 4
- Team Country AnalysisOrchestrates a country analysis: macro outlook, external, fiscal, financial, risks, policy options and note.Votes: 0GitHub stars: 4
- Team DsgeOrchestrates the full DSGE team: spec, build, solve, estimate, validate and document a structural model end to end.Votes: 0GitHub stars: 4
- Team FiscalOrchestrates a fiscal analysis package: DSA, multipliers, microsimulation, investment and risk, integrated into one report.Votes: 0GitHub stars: 4
- Team ForecastOrchestrates a full forecast round across nowcasting, core model, ML ensemble, judgment, risks, charts and brief.Votes: 0GitHub stars: 4
- Team Stress TestOrchestrates a macro-financial stress-test exercise: scenarios, satellite models, network contagion, results and policy options.Votes: 0GitHub stars: 4
- Technical NoteWrites a technical note or methodology paper from model work: motivation, method, results, robustness, limits.Votes: 0GitHub stars: 4
- Trade Policy AnalysisSimulates trade policy and tariff scenarios with quantitative trade and CGE models, including retaliation, value-chain propagation and welfare effects.Votes: 0GitHub stars: 4
- Validate ModelRuns independent model validation sized to risk level: conceptual soundness, implementation, outcomes, benchmarking. Issues a rating.Votes: 0GitHub stars: 4
- AdoptBrings an existing model or codebase into the studio: inventories it, reverse-documents it and plans validation and migration.Votes: 0GitHub stars: 4
- Ai AuditAudits AI/ML/LLM components: benchmarks, leakage, calibration, explainability, bias, red-team, confidentiality, monitoring.Votes: 0GitHub stars: 4
- BacktestRuns historical and pseudo-real-time backtests with information-set checks and regime-specific performance.Votes: 0GitHub stars: 4
- Build AbmBuilds an agent-based model with ODD documentation, calibration, validation and experiment design.Votes: 0GitHub stars: 4
- Build Causal MlBuilds a causal machine-learning analysis (double ML, causal forests) with identification argument and sensitivity checks.Votes: 0GitHub stars: 4
- Build CgeBuilds a CGE model (static or recursive-dynamic, single- or multi-region) with benchmark replication, closures, elasticity sensitivity and welfare decomposition.Votes: 0GitHub stars: 4
- Build Climate MacroBuilds a climate-macro model: climate-augmented macro or integrated-assessment-style model with damage functions, abatement and carbon pricing.Votes: 0GitHub stars: 4
- Build Deep ForecasterBuilds a deep-learning or foundation-model forecaster with rolling-origin evaluation against statistical benchmarks.Votes: 0GitHub stars: 4
- Build Drl PolicyBuilds a deep reinforcement learning policy environment and agent for monetary, fiscal or macroprudential policy.Votes: 0GitHub stars: 4
- Build DsgeBuilds a DSGE model (small, medium or large) from approved spec: derivation, code, solution, tests, IRFs.Votes: 0GitHub stars: 4
- Build Financial ProgrammingBuilds an integrated financial-programming framework consistent across real, fiscal, monetary and external sectors.Votes: 0GitHub stars: 4
- Build FpasDesigns and builds a forecasting and policy analysis system: core model, nowcasts, judgment layer, forecast process.Votes: 0GitHub stars: 4
- Build Game ModelBuilds a game-theoretic or mechanism-design model: specification, equilibria, computation and policy interpretation.Votes: 0GitHub stars: 4
- Build HankBuilds a heterogeneous-agent (HANK) model with household block, sequence-space solution and distributional outputs.Votes: 0GitHub stars: 4
- Build Io SamBuilds input-output, supply-use and SAM frameworks with multipliers, linkages, multi-regional and environmentally extended extensions.Votes: 0GitHub stars: 4