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Global Energy & Natural Resources Intelligence
by
ai-gaoqian
· GitHub ↗
· v1.0.0
· MIT-0
45
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Install in OpenClaw
/install energy-intel
Description
Provides comprehensive, data-driven intelligence on global energy markets, renewables, minerals, nuclear, carbon policies, geopolitics, and transition trends.
README (SKILL.md)
Global Energy & Natural Resources Intelligence
Massive data-driven energy intelligence covering the full energy stack from hydrocarbons to renewables to critical minerals. Powered by 21 authoritative data sources and 12 real-time commodity benchmarks.
Triggers
- "What's the outlook for oil prices?"
- "Compare renewable energy growth in China vs. EU"
- "Analyze lithium/cobalt supply chain risks"
- "Track LNG trade flows and pricing"
- "Research nuclear energy revival globally"
- "Map critical mineral dependencies by technology"
- "Monitor carbon pricing evolution"
- "Identify energy security vulnerabilities"
Capabilities
| # | Capability | Data Scope | Output Mode |
|---|---|---|---|
| 1 | Oil & gas market intelligence | IEA, OPEC, EIA, JODI, BP, Platts, Rystad, Baker Hughes | Price (Brent/WTI/HH/TTF), supply-demand balance, inventories, rig counts, trade flows |
| 2 | Renewable energy deployment tracking | IRENA, IEA, BNEF, GWEC, SolarPower Europe, NREL | Capacity additions by tech/country, LCOE trends, investment flows, policy landscape |
| 3 | Critical minerals & supply chains | USGS, LME, SMM, Benchmark Minerals, Cochilco | 12 commodity prices, reserves-to-production ratios, processing bottleneck maps, country concentration risk |
| 4 | Nuclear power status & outlook | IAEA PRIS, WNA, WNN | 440+ reactor status, SMR pipeline, Gen IV R&D, regulatory timelines |
| 5 | Carbon markets & climate policy | EU ETS, World Bank Carbon Dashboard, Global Carbon Project | Carbon price trajectory, coverage expansion, CBAM impact, Article 6 mechanisms |
| 6 | Geopolitical chokepoint analysis | Multiple intelligence sources, AIS vessel tracking | 8 chokepoints: Hormuz, Malacca, Suez, Bab el-Mandeb, Panama, Turkish Straits, DRC-Cobalt, SCS-LNG |
| 7 | Grid & power system data | ENTSO-E, EIA Electricity, Ember Global Review | Generation mix, interconnection flows, price spreads, flexibility capacity |
| 8 | Energy transition technology deep-dive | 10 technologies: solar, wind, batteries, H₂, nuclear SMR, CCUS, grid, geothermal, marine, SAF | TRL assessment, cost curves, scaling bottlenecks, IP landscape |
| 9 | National energy strategy comparison | NDCs, IRA, RePowerEU, China 30-60, India MNRE | Policy instrument mix, subsidy levels, phase-out schedules, stranded asset risk |
| 10 | Investment thesis & risk assessment | Integrated cross-commodity | Bull/bear case, scenario analysis, sensitivity tables, key monitor indicators |
Workflow
User Query
│
├─ Price/market query → Multi-source cross-reference (IEA+EIA+OPEC+Platts)
│ └─ Output: Current price + 3-6 month trend + drivers + forecast range
│
├─ Technology/transition query → Capability #8 deep-dive
│ └─ Output: Tech status + cost curve + deployment rate + critical minerals dependency
│
├─ Commodity-specific → Capability #3 supply chain map
│ └─ Output: Price + reserves + processing map + geopolitical risk score
│
├─ Geopolitical query → Capability #6 chokepoint + IEA emergency analysis
│ └─ Output: Flow volume + risk scenario + impact range + alternatives
│
└─ Investment query → Capability #10 scenario analysis
└─ Output: Bull/base/bear cases + catalyst timeline + risk dashboard
Output Formats
Format 1: Commodity Snapshot
| Metric | Current | 3M Trend | 12M Forecast | Key Driver |
|--------|---------|----------|-------------|------------|
| Price | $XX | ↑/↓/→ | $XX-$XX | [source] |
| Supply | XX M bpd | ↑/↓ | XX M bpd | [country] |
| Demand | XX M bpd | ↑/↓ | XX M bpd | [region] |
| Stocks | XX days | ↑/↓ | XX days | [agency] |
Format 2: Technology Competitive Landscape
| Technology | TRL | LCOE $/MWh | 2025-2030 CAGR | Bottleneck | Top 3 Players |
Format 3: Geopolitical Risk Dashboard
| Chokepoint | Flow (M bpd) | Risk Level | Scenario | Impact Range |
Usage Guidelines
- Always cite primary data source and date of latest release
- Cross-validate between IEA/EIA/OPEC where divergence is material
- Distinguish between structural shifts vs. cyclical movements
- Flag market-moving events (OPEC+ decisions, SPR releases, sanctions, pipeline incidents)
Examples
Q: What's the 2026 oil outlook? → Pull IEA OMR latest + OPEC MOMR + EIA STEO + Platts assessments → Price range: $XX-$XX driven by [demand growth/cuts/geopolitics]
Q: Is cobalt supply a bottleneck for EVs? → USGS production data + LME price + DRC risk assessment + LFP substitution trend → DRC 70% share with [risk level], LFP reducing cathode cobalt by [XX%]
Q: Compare EU vs. China carbon pricing → EU ETS €XX/t vs. China ETS ¥XX/t → EU 4x higher, CBAM impact on [sectors], China expanding to [industries]
Data Sources (21 total): See references/energy_sources.json for complete listing with URLs and update frequencies.
（内容由AI生成，仅供参考）
Usage Guidance
Before installing, understand that the skill may guide your agent to consult external energy and market data sources for current information, including some commercial sources that may require separate access. It appears safe from an execution and privilege perspective, but users should still verify time-sensitive market data and source availability.
Capability Assessment
Purpose & Capability
The stated purpose and artifacts align: the skill provides energy and natural-resources intelligence workflows, output templates, and a JSON list of public/reference data sources.
Instruction Scope
Runtime instructions focus on citing sources, cross-validating energy data, and formatting analysis; they do not request agent role changes, hidden behavior, local data access, or unsafe automation.
Install Mechanism
The package contains only SKILL.md and a reference JSON file, both non-executable, with no dependencies, install scripts, or bundled binaries.
Credentials
Expected web research against named energy data sources is proportionate to the skill's research purpose and no broad local indexing or private environment access is requested.
Persistence & Privilege
No persistence, background workers, privilege escalation, credential/session use, or mutation authority is present in the artifacts.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install energy-intel - After installation, invoke the skill by name or use
/energy-intel - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of energy-intel providing comprehensive, cross-commodity energy and natural resources intelligence.
- Covers oil & gas, renewables, nuclear, critical minerals, carbon markets, grids, and technology.
- Integrates data from 21+ authoritative sources and 12 real-time benchmarks.
- Supports structured outputs: commodity snapshots, technology landscape, and geopolitical dashboards.
- Enables a wide range of queries: market outlooks, tech trends, supply chain risks, and investment scenarios.
- Includes clear usage guidelines for data sourcing and analytical rigor.
Metadata
Frequently Asked Questions
What is Global Energy & Natural Resources Intelligence?
Provides comprehensive, data-driven intelligence on global energy markets, renewables, minerals, nuclear, carbon policies, geopolitics, and transition trends. It is an AI Agent Skill for Claude Code / OpenClaw, with 45 downloads so far.
How do I install Global Energy & Natural Resources Intelligence?
Run "/install energy-intel" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Global Energy & Natural Resources Intelligence free?
Yes, Global Energy & Natural Resources Intelligence is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Global Energy & Natural Resources Intelligence support?
Global Energy & Natural Resources Intelligence is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Global Energy & Natural Resources Intelligence?
It is built and maintained by ai-gaoqian (@ai-gaoqian); the current version is v1.0.0.
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