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---
name: spillover-analysis
description: "Quantifies cross-country spillovers from a global shock using multiple models and country-vulnerability measures."
---
<!-- Generated from .claude/skills/spillover-analysis/SKILL.md by tools/sync_agents.py. Edit the source, then run the script. -->
# /spillover-analysis — Spillover Analysis
**Category:** Analysis · **Primary agent:** `global-spillover-specialist`
Quantifies cross-country spillovers from a global shock using multiple models and country-vulnerability measures.
Arguments: whatever the user wrote after the command name.
## Purpose
Quantify how a shock in a large economy or in global markets spills over to other countries, using at least one structural and one reduced-form approach, explaining why their estimates differ, and mapping which countries are most vulnerable and why. The output is a range of spillover estimates with a channel decomposition and a vulnerability map.
**Use it when** assessing effects of foreign monetary tightening, growth slowdowns, commodity shocks, financial stress or trade policy on a country or group of countries.
**Do not use it when** a full multi-country model must be built first (`/build-multicountry`).
## Before you start
1. **Check required inputs.** For each input below record `FOUND` or `ABSENT` (never 'assumed'):
- Multi-country model or GVAR
- Country data
If a required input is `ABSENT`, that part is **`NOT ASSESSED — NO DATA`**: do not estimate or invent it; name what is missing and which skill produces it. If all required inputs are absent, stop and say so.
2. **Check confidentiality.** Identify the data classification level of the inputs (`.claude/docs/confidentiality-and-ai-use.md`). Do not proceed with restricted or confidential data in a way the policy does not allow.
3. **Collaboration.** Follow `.claude/docs/collaboration-protocol.md`: ask questions first, present options, get approval before writing files, and update `production/session-state/active.md` after each approved section.
## Agents
- `global-spillover-specialist` — primary agent; coordinates the work and integrates results
- `multi-country-dsge-specialist` — Builds large multi-country DSGE models for spillovers, global shocks and policy coordination
- `capital-flows-ipf-specialist` — Models capital flows and integrated policy frameworks
- `trade-policy-simulation-specialist` — Simulates trade policy with quantitative trade models
Each agent is defined in `.claude/agents/<name>.md`. If your tool runs subagents, run these agents as subagents, in parallel where the steps are independent; otherwise read each agent's file and apply its instructions in turn. Subagents only write to the paths named in your instructions.
## Key design decisions (present options, let the user choose)
| Decision | Typical options | What it changes |
|---|---|---|
| Shock | identified policy shock, growth shock, risk-off, commodity | Interpretation |
| Methods | GVAR, panel local projections, multi-country structural model | Range of estimates |
| Channels | trade, commodity, financial, confidence | Decomposition |
| Vulnerability measures | openness, dollar debt, reserves, regime | Country ranking |
## Workflow
1. Define the shock and propagation channels
- Identify the source shock; do not use reduced-form innovations
2. Estimate with at least two approaches (structural and reduced-form)
3. Compare estimates and explain divergence
4. Map vulnerability by country
- Exposure times sensitivity times buffers
## Checkpoints with the user
- After defining the shock: confirm identification
- After estimates: agree how to present the range
## Common pitfalls
- Common global shocks mistaken for spillovers
- Pooled averages hiding heterogeneity
- Ignoring recipient-country policy responses
- Trade channels overweighted when finance dominates
## Output
`forecasts/spillovers/<name>.md`
The report presents the shock, estimates by method, the reconciliation, channel decomposition and a country vulnerability map.
## Gate / verdict
- At least two methods used
- The source shock is identified
- Country heterogeneity is shown
## Suggested next steps
- `/policy-brief`
- `/chart-pack`