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ai-gaoqian

Global Food & Agriculture Intelligence

by ai-gaoqian · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install agrifood-intel
Description
Delivers data-driven analysis on global food prices, crop supply-demand, food security, climate impacts, agritech, trade flows, and fisheries trends.
README (SKILL.md)

Global Food & Agriculture Intelligence

Comprehensive agrifood intelligence for the 8 billion people on Earth. 22 data sources spanning food security, crop production, commodity prices, climate impacts, agritech innovation, trade flows, and fisheries. Built for analysts, traders, policymakers, and anyone tracking the global food system.

Triggers

  • "What's the global food price outlook?"
  • "Track wheat/corn/soybean supply and demand"
  • "Analyze food crisis hotspots"
  • "What's driving fertilizer prices?"
  • "Assess climate impact on crop yields"
  • "Compare alternative protein market growth"
  • "Monitor Black Sea grain corridor status"
  • "Evaluate food security for [country/region]"

Capabilities

# Capability Data Scope Output Mode
1 Food price index & inflation tracking FAO FFPI, World Bank Pink Sheet, FAO GIEWS 5-category breakdown: cereals, meat, dairy, oils, sugar. Real vs. nominal, trend analysis
2 Food security & hunger monitoring WFP HungerMap (90+ countries), FAO SOFI, IPC (35+ crisis countries), FEWS NET (30+ countries) IPC Phase classification (1-5), affected population, acute malnutrition rates, outlook
3 Crop supply-demand balance (WASDE-style) USDA WASDE (monthly), AMIS (G20+), FAOSTAT, IGC 8 grains/oilseeds: production, consumption, trade, ending stocks, stock-to-use ratio
4 Commodity futures & price discovery CBOT/CME, Euronext, DCE Dalian Real-time prices across 20+ commodities with seasonal patterns and futures curves
5 Climate-agriculture nexus NOAA ENSO, JRC MARS, NASA NDVI, IPCC El Niño/La Niña crop impact, drought/wet maps, vegetation health indices
6 Fertilizer market intelligence Urea, DAP, MOP, ammonia, phosphate Prices by grade, production by country, trade flow disruptions, affordability index
7 Agritech & innovation landscape AgFunder (VC data), FAO Digital Ag, UC Davis Precision ag adoption, gene editing (CRISPR), vertical farming economics, alt-protein scaling
8 Agricultural trade & supply chains WTO Agri Trade, ITC Trade Map, FAO GIEWS Bilateral trade flows, export restriction tracker, Black Sea corridor alternatives
9 Livestock & dairy market USDA livestock, FAOSTAT Production, prices for beef, pork, poultry, dairy (butter, SMP, WMP, cheese)
10 Fisheries & aquaculture status FAO SOFIA, Global Fishing Watch Wild catch sustainability, aquaculture growth, IUU fishing detection

Workflow

User Query
    │
    ├─ Food security query → WFP HungerMap + IPC + FAO SOFI
    │   └─ Output: Hotspot map + population at risk + drivers + outlook
    │
    ├─ Commodity price query → CBOT/CME futures + USDA WASDE + FAO FFPI
    │   └─ Output: Current price + S&D table + seasonal pattern + 3-month forecast
    │
    ├─ Crop outlook query → USDA WASDE + AMIS + FAO GIEWS + NOAA ENSO
    │   └─ Output: Global production/trade/stocks table + weather risk + price impact
    │
    ├─ Fertilizer query → World Bank + trade data + production capacity
    │   └─ Output: N/P/K price trends + affordability + supply disruption risk
    │
    └─ Climate-agriculture query → NOAA ENSO + JRC MARS + NASA NDVI + IPCC
        └─ Output: Crop-specific impact by region + yield forecast revision

Output Formats

Format 1: Commodity S&D (Supply & Demand)

| | 2024/25 | 2025/26 Est | YoY Change | Source |
|-|---------|-------------|-----------|--------|
| Beginning Stocks | XX M mt | XX | +X% | USDA |
| Production        | XX      | XX | +X% | USDA |
| Imports           | XX      | XX | +X% | USDA |
| Feed Use          | XX      | XX | +X% | USDA |
| Food/Seed/Ind     | XX      | XX | +X% | USDA |
| Exports           | XX      | XX | +X% | USDA |
| Ending Stocks     | XX      | XX | +X% | USDA |
| Stock-to-Use      | XX.X%   | XX.X% | +/- | USDA |

Format 2: Food Crisis Dashboard

| Country | IPC Phase 3+ Pop (M) | IPC Phase 4+ Pop (M) | Trend | Drivers |

Format 3: Fertilizer Affordability Index

| Nutrient | Current $/mt | 12M Ago | 5Y Avg | Affordability Ratio | Country Dependence |

Usage Guidelines

  • Always cite source (USDA WASDE vs. FAO vs. IGC) with release date
  • Note where USDA vs. FAO vs. AMIS estimates diverge
  • Distinguish structural food system issues from weather-driven short-term shocks
  • Flag export restrictions, sanctions, and trade policy changes in real time

Examples

Q: Outlook for wheat prices in H2 2026? → USDA WASDE latest (global S&D) + FAO FFPI cereal index + NOAA ENSO forecast + Black Sea corridor status → Price range: $X-$X/bu, driven by [US HRW conditions / Black Sea exports / India stock policy]

Q: Which countries are at highest risk of famine? → WFP HungerMap + IPC Phase 4-5 populations + FEWS NET outlook → Top 5: Sudan (17.7M), DRC (23.4M), Ethiopia (15.8M), Yemen (17M), Nigeria (24.9M), driven by [conflict/climate/economic]

Q: Is the global food system becoming more resilient? → FAO SOFI trend data + AgFunder VC investment + FAO Digital Agriculture adoption → [Assessment with data trends]


Data Sources (22 total): See references/agrifood_sources.json for complete listing with URLs and update frequencies. (内容由AI生成,仅供参考)

Usage Guidance
Install only if you expect ClawHub maintainer and Convex development automation. Be aware that moderation commands can affect real users and skills, PR proof publishing can write to GitHub artifact branches/comments, and the autoreview helper uses full-access nested Codex by default unless run with --no-yolo or AUTOREVIEW_YOLO=0.
Capability Assessment
Purpose & Capability
The artifacts cover code review, ClawHub moderation, PR/UI proof workflows, and Convex setup/migration/performance guidance; high-impact capabilities such as user bans, role changes, PR publishing, and nested review are consistent with those stated purposes.
Instruction Scope
Moderation instructions require explicit targets, reasons, confirmation before writes, and post-action verification; the autoreview helper defaults to a full-access nested Codex review, but that behavior is disclosed with an opt-out flag.
Install Mechanism
The reviewed skill files are static .agents/skills content with Markdown instructions, small YAML metadata, SVG icons, references, and one helper script; I found no hidden install hook or automatic startup mechanism.
Credentials
Use of gh, bun/npm/npx, Convex CLI, local proof artifacts, and external reviewer CLIs is proportionate for repository maintenance and Convex workflows, but may send diffs or interact with authenticated services when the user invokes those paths.
Persistence & Privilege
No unbounded persistence or background worker was found in the skill artifacts; requested workflows may create temporary proof artifacts, publish proof assets to a QA branch, use existing auth tokens, or run long-lived Convex/dev proof commands under user control.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install agrifood-intel
  3. After installation, invoke the skill by name or use /agrifood-intel
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
agrifood-intel v1.0.0 - Initial release offering comprehensive global agrifood intelligence. - Integrates 22 data sources on food security, commodity prices, crop balance, climate impacts, fertilizers, trade flows, fisheries, and agritech. - Supports queries for food price outlooks, supply-demand tracking, food crisis analysis, climate impacts, and more. - Provides structured outputs such as commodity S&D tables, food crisis dashboards, and fertilizer affordability indices. - Designed with usage guidelines for source citation, data divergence, and policy flagging.
Metadata
Slug agrifood-intel
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Global Food & Agriculture Intelligence?

Delivers data-driven analysis on global food prices, crop supply-demand, food security, climate impacts, agritech, trade flows, and fisheries trends. It is an AI Agent Skill for Claude Code / OpenClaw, with 47 downloads so far.

How do I install Global Food & Agriculture Intelligence?

Run "/install agrifood-intel" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Global Food & Agriculture Intelligence free?

Yes, Global Food & Agriculture Intelligence is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Global Food & Agriculture Intelligence support?

Global Food & Agriculture Intelligence is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Global Food & Agriculture Intelligence?

It is built and maintained by ai-gaoqian (@ai-gaoqian); the current version is v1.0.0.

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