An AI-powered climate analytics framework for evaluating emissions trajectories, carbon markets, regulatory policy compliance, and physical climate risks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install climate-intelligence
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install climate-intelligence using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Climate Intelligence Engine?
The Climate Intelligence Engine is an advanced analytical framework designed to synthesize multi-source environmental, policy, and market data into highly actionable intelligence. As an integrated capability within Openclaw Skills, it helps organizations, policy analysts, and sustainability officers navigate complex carbon landscapes, compare national NDC commitments, track market regulations, and evaluate physical climate vulnerability across global jurisdictions.
By leveraging authoritative public databases, scientific literature, and market trackers, this skill performs domain-specific computations, such as carbon budget remaining math, levelized cost of energy (LCOE) projections, and hazard exposure matrixes. It bridges the gap between fragmented climate research and structured decision-making, offering an unbiased, scientific-integrity-first approach to environmental data analysis.
Climate Intelligence Engine Use Cases
- Emissions Tracking & Compliance: Conduct deep-dives into country or sectoral carbon pathways, assessing current emissions trends against national target trajectories.
- Carbon Asset Evaluation: Monitor trading prices, coverage rates, and stability policies for regulatory compliance across the EU ETS, China ETS, and voluntary carbon markets.
- Asset-Level Risk Assessments: Project extreme weather probabilities (flooding, wildfires, severe heat) for specific geographic coordinates under varied RCP and SSP emission scenarios.
- ESG Policy Mapping: Match corporate operational profiles to relevant local and global ESG disclosure requirements, including CSRD, SEC, and ISSB frameworks.
- Climate Tech Scouting: Monitor technology readiness levels (TRL) and funding benchmarks for early-stage carbon-mitigation innovations like direct air capture (DAC).
How Climate Intelligence Engine Works
- Query Classification: The engine parses requests to define target geography, temporal horizons, precise climate domains, and desired depth of analytical complexity.
- Dynamic Routing: The platform intelligently distributes search vectors to domain-specific repositories, including scientific databases (IPCC, NASA, Copernicus), policy libraries (UNFCCC), energy monitors (IEA, BloombergNEF), and market engines (CDP, MSCI).
- Cross-Validation & Synthesis: Information is cross-checked across sources to ensure accuracy, flagging and resolving any inconsistencies in reporting methodologies.
- Domain Analysis Execution: Built-in math processors run specialized assessments, including carbon budget allocation models, LCOE learning curves, and hazard risk frameworks.
- Structured Output Rendering: Outputs are formatted into structured data schemas, incorporating clear indicator tables for easy consumption.
- Uncertainty Disclosures: Adds critical metadata context regarding data vintage (ensuring relevance under 6 months), scenario pathways (e.g., RCP 4.5 vs. 8.5), and confidence spreads.
Climate Intelligence Engine Setup
To deploy and utilize the Climate Intelligence Engine in the Openclaw Skills environment, configure your local database reference pointers by following these steps:
# Install the Climate Intelligence Engine package
openclaw skills install climate-intelligence-engine
# Confirm availability of the local source reference map
cat references/climate_sources.json
If running within custom pipelines, map your environment target variable to point to the authorized source file:
export CLIMATE_DATA_REF="./references/climate_sources.json"
Climate Intelligence Engine Data Schema & Taxonomy
The system processes, maps, and structures multi-domain environmental data via a unified reference scheme:
Reference Schema (references/climate_sources.json)
| Attribute | Description | Details |
|---|---|---|
| Climate Domains | 9 distinct categorical domains | Emissions, renewable energy, policy, carbon markets, physical risk, etc. |
| Data Authorities | 15 peer-reviewed & official databases | IPCC, WRI, NASA, COP21 UNFCCC, IEA, BloombergNEF, etc. |
| Timeframes & Scenarios | Climate projections model mappings | Historical emissions datasets, RCP 4.5/8.5 projections, net-zero milestones |
Output Standardizations
- Country Emissions Profile Table: Standardizes indicators like Total CO2 (Gt), Per-capita CO2, Intensity (kg/$GDP), and target timelines.
- Carbon Market Dashboard Table: Harmonizes diverse trading platforms through clear metrics showing Spot Price, 1Y Trading Range, and Market Stability rules.
- Climate Risk Heatmap Table: Standardizes current hazard probabilities against projected risks under RCP 4.5 and RCP 8.5 pathways.
Climate Intelligence Engine Advanced Features
- Scenario-Adaptive Projections: Allows simultaneous comparative modeling of asset resilience across multiple emission scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5).
- Multilingual Synthesis: Interrogates policy documents and parses scientific reports published across English, Chinese, French, Spanish, German, Japanese, and Arabic.
- Uncertainty & Model Spread Calculations: Estimates confidence levels and provides model ensemble ranges instead of arbitrary point estimates to preserve scientific integrity.
- No-Satellite Light Infrastructure: Aggregates high-value, public-facing analytical reports without requiring heavy, resource-intensive live telemetry data streams.
- Customizable Source Injector: Enables organizations to append private, proprietary ESG or telemetry datasets straight into the local source configuration manifest.
SKILL.md
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