managing-climate-scenario-analysis
Structures TCFD-aligned climate scenario analysis with transition and physical risk modeling. Use when conducting climate scenarios, modeling transition risk, or analyzing physical climate exposure.
Best use case
managing-climate-scenario-analysis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Structures TCFD-aligned climate scenario analysis with transition and physical risk modeling. Use when conducting climate scenarios, modeling transition risk, or analyzing physical climate exposure.
Teams using managing-climate-scenario-analysis should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/managing-climate-scenario-analysis/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How managing-climate-scenario-analysis Compares
| Feature / Agent | managing-climate-scenario-analysis | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Structures TCFD-aligned climate scenario analysis with transition and physical risk modeling. Use when conducting climate scenarios, modeling transition risk, or analyzing physical climate exposure.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Managing Climate Scenario Analysis ## When To Use - Conducting TCFD-aligned climate scenario analysis for portfolio or enterprise risk reporting - Modeling transition risk exposure under different decarbonization pathways (e.g., Net Zero 2050, Delayed Transition, Current Policies) - Assessing physical climate risk (acute and chronic) across asset locations or supply chains - Preparing climate disclosures for annual reports, investor presentations, or regulatory filings - Stress-testing capital allocation or lending portfolios against climate scenarios ## Inputs To Gather - **Scenario framework selection**: NGFS scenarios, IEA World Energy Outlook pathways, or custom internal scenarios — confirm which reference pathways apply - **Asset/portfolio data**: Sector exposures, geographic concentrations, revenue mix by business line, and Scope 1/2/3 emissions profiles where available - **Time horizons**: Short-term (2025–2030), medium-term (2030–2040), long-term (2040–2050+) — confirm which horizons the analysis must cover - **Risk taxonomy**: Distinguish transition risks (policy/legal, technology, market, reputation) from physical risks (acute events, chronic shifts) - **Baseline assumptions**: Carbon price trajectories, energy mix forecasts, temperature alignment targets, and discount rates [VERIFY against latest NGFS or IEA vintage used] - **Materiality thresholds**: What magnitude of financial impact triggers escalation or disclosure - **Regulatory context**: Applicable disclosure regime — TCFD, ISSB/IFRS S2, EU CSRD/ESRS E1, SEC climate rule [VERIFY current status and applicability by jurisdiction] ## Workflow 1. **Define scope and governance** - Confirm reporting entity boundaries (consolidated, subsidiary, fund-level) - Identify scenario owners, data providers, and sign-off authority - Align on at least two contrasting scenarios (e.g., orderly transition vs. hot-house world) plus a baseline 2. **Map risk channels to financial drivers** - For each transition risk type, identify the transmission mechanism: carbon cost pass-through, stranded asset write-downs, demand destruction, litigation exposure - For each physical risk type, map to financial impact: asset damage/impairment, business interruption, insurance cost escalation, supply chain disruption - Tag each channel with affected financial line items (revenue, COGS, capex, asset values, provisions) 3. **Parameterize scenarios** - Assign quantitative assumptions per scenario: carbon prices ($/tCO2e by decade), energy prices, technology adoption curves, temperature pathways - Source chronic physical parameters from climate models (e.g., RCP 4.5 vs. RCP 8.5 for precipitation, sea-level rise, heat stress) - Document all assumption sources and vintages — flag any that are more than 18 months old as [VERIFY] 4. **Run financial impact analysis** - Calculate transition risk impacts: carbon cost burden as % of EBITDA, revenue at risk from demand shifts, capex required for technology transition - Calculate physical risk impacts: expected annual loss from acute events, chronic productivity or yield reductions, adaptation cost estimates - Aggregate to portfolio or entity level; express results as earnings-at-risk, NAV impact, or credit quality migration under each scenario 5. **Assess strategic resilience** - Evaluate whether current strategy is robust across scenarios or dependent on a single pathway - Identify concentration risks: sectors, geographies, or counterparties with outsized scenario sensitivity - Propose adaptation or mitigation levers: hedging, divestment, engagement, capital reallocation, insurance 6. **Compile management report** - Structure output per TCFD recommended disclosure pillars: Governance, Strategy, Risk Management, Metrics & Targets - Present scenario comparison tables with key financial metrics side-by-side - Include heat maps or summary visuals for geographic/sectoral risk concentration - State all material assumptions, data gaps, and model limitations explicitly ## Output A management report containing: - **Executive summary**: Key findings, most material risk channels, and strategic implications in 1–2 pages - **Scenario descriptions**: Narrative and quantitative parameters for each scenario analyzed - **Transition risk assessment**: Financial impact estimates by risk type and business segment - **Physical risk assessment**: Asset-level or portfolio-level exposure analysis with geographic detail - **Resilience evaluation**: Strategy robustness across scenarios, with identified vulnerabilities - **Action items**: Prioritized recommendations for risk mitigation, further analysis, or disclosure enhancement - **Appendices**: Assumption tables, data sources, methodology notes, and sensitivity analysis ## Quality Checks - At least two contrasting scenarios are analyzed (not just a single pathway) - Transition and physical risks are both addressed — omission of either category must be justified - All carbon price, temperature, and energy mix assumptions cite a named source and vintage year - Financial impacts are expressed in concrete metrics (dollar amounts, percentages, rating notch equivalents) rather than qualitative labels alone - Time horizons cover at least one period beyond 2030 to capture long-tail climate dynamics - Geographic specificity is adequate for physical risk — global averages are insufficient for asset-level exposure - Disclosure alignment is confirmed against the applicable framework [VERIFY: TCFD, ISSB S2, ESRS E1, or SEC rule as relevant] - Limitations section explicitly states what the analysis does not cover (e.g., second-order macroeconomic effects, litigation risk quantification) - All unverified or estimated data points are marked [VERIFY]