← Directory
skill · Global
faostat-skills
AI skills for analyzing UN FAOSTAT food & agriculture data — country profiles, trade analysis, climate assessments, commodity briefings. Plugin for Claude Code & Codex.
Claim this listing
Represent faostat-skills? Send a claim for review so we can discuss listing updates. Claims do not automatically grant ownership or verification.
What's in it
- Data offered docs-verified
- crop and livestock production, area and yield (QCL) · trade matrix, import/export by partner (TM) · food balance sheets, supply and demand for 360+ foods (FBS) · food security indicators (FS) · agrifood systems emissions totals (GT) · crop emissions (GCE) · forest emissions and removals (GF) · emissions intensities (EI) · emissions indicators (EM) · temperature change (ET) · land use (RL) · fertilizers (RFN/RFM/RFB) · pesticides use and trade (RP/RT)
- Coverage llm-inferred
- Global (country-level FAOSTAT data)
- Resolution llm-inferred
- Country level (spatial); temporal resolution not stated
- Formats docs-verified
- xlsx · csv · data dictionary · PDF · docx · HTML (Chart.js) · BibTeX · SKILL.md (skill definition)
- Access docs-verified
- Skills licensed MIT. Requires the separately installed FAOSTAT MCP server (pip install faostat-mcp) and one-time credential setup. FAOSTAT data terms not stated.
Useful for
- Use cases llm-inferred
- Agrifood emissions and land-use baseline for an environmental impact or ESG assessment · Fertiliser and pesticide use trends as context for a diffuse pollution or nutrient assessment · Food import dependence and commodity supply risk screening for a project appraisal · Climate-agriculture context (temperature change, forest and land-use trends) for a sustainability report
- Audience llm-inferred
- environmental consultants · climate and sustainability analysts · policy analysts · GIS analysts
Limitations
- Constraints llm-inferred
- Depends on the separately installed FAOSTAT MCP server and its credentials · Global, country-level statistics; not UK-focused or sub-national · Update frequency and time coverage not stated in docs · Workflow-based skills, not a data source in their own right · Codex and other platforms need manual copying into a skills directory · Maintenance risk: depends on upstream FAOSTAT MCP and FAOSTAT data availability
- Licence
- MIT
- Authentication
- Unknown — review source docs
- GitHub stars
- 9
- Last commit
- 21/04/2026
- Last successful page check
- 14/10/2026
- Page health
- healthy
- Package
- pypi:faostat-mcp
- Verification
- Not independently verified
Auto-extracted, unverified fields: tools, install, auth. Check upstream documentation.
Provenance & evidence
Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).
Metadata observed 15/10/2026 · research sweep: github-search