Environmental Science skills for AI agents
5 practitioner-grade environmental science skills, each a focused Markdown document your agent loads into context on demand. Search them from Claude Desktop, Cursor or any MCP client, or pull one with the CLI.
All 5 skills
- Carbon Accounting
Master the principles and practices of measuring, tracking, and reporting greenhouse gas (GHG) emissions across organizational boundaries. Activate this skill when tasked with quantifying an entity's carbon footprint, developing sustainability reports, or formulating emissions reduction strategies.
75 lines - Climate Modeling
Construct, analyze, and interpret complex climate models to project future climate states and understand historical climate dynamics. Activate this skill when asked to predict climate scenarios, explain climate change mechanisms, or evaluate mitigation strategies through a modeling lens.
73 lines - Ecology Field Methods
Master the essential skills for designing, executing, and analyzing ecological data collection in natural environments. Activate this skill when tasked with planning a field study, conducting biodiversity surveys, monitoring environmental parameters, or interpreting results from direct ecological observations.
69 lines - Environmental Impact Assessment
Master the systematic process of identifying, predicting, evaluating, and mitigating the environmental and social consequences of proposed projects. Activate this skill when assessing the sustainability of new developments, ensuring regulatory compliance, or informing strategic decision-making for land use changes and infrastructure projects.
71 lines - Water Resource Management
Master the holistic principles and practices for sustainably developing, managing, and protecting water resources across various scales. Activate this skill when tasked with designing water allocation plans, formulating drought resilience strategies, assessing water quality, or developing integrated watershed management policies.
76 lines