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Global Energy & Natural Resources Intelligence

Name: Global Energy & Natural Resources Intelligence
Author: ai-gaoqian

作者 ai-gaoqian · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install energy-intel

功能描述

Provides comprehensive, data-driven intelligence on global energy markets, renewables, minerals, nuclear, carbon policies, geopolitics, and transition trends.

使用说明 (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）

安全使用建议

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.

能力评估

✓ 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.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install energy-intel
安装完成后，直接呼叫该 Skill 的名称或使用 /energy-intel 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

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.

元数据

Slug energy-intel

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题