AI Skill
An AI skill is detailed written guidance that an agent reads before doing a specific kind of task, including both instructions and context. Skills are reusable expertise: created and validated by human subject matter experts, applied automatically by the agent whenever the task calls for them.
Many agents are a thin layer over an off-the-shelf AI like ChatGPT or Claude, dressed up with a clever prompt. That works for narrow tasks, but the underlying AI lacks the expertise to reliably do complex work. Skills close that gap. A skill captures how an expert approaches a specific task: the steps, the standards to follow, the edge cases that trip teams up, and the context needed to make good judgment calls.
Training an all-purpose agent works like onboarding a new hire. An expert documents how a task should be done, the agent applies that guidance, results get reviewed, and the skill improves with each iteration. Once trained, the skill runs consistently every time.
At Gravity, full-time climate and energy experts continuously create new skills for the agent. More than 85 skills so far codify expertise to migrate data from Excel and other platforms, identify cost-saving energy projects, and draft reports for regulations like California's climate disclosures. Customers use prebuilt skills and create their own, so the agent gets better at the work that matters to their organization.
Frequently asked questions
What is an AI skill? +
An AI skill is detailed written guidance that an agent reads before doing a specific kind of task, including both instructions and context. It packages human expertise so the agent can apply it automatically and consistently.
Why do AI agents need skills? +
General-purpose AI models lack the domain expertise to reliably do complex work like carbon accounting or regulatory reporting. Skills embed expertise from human specialists, so the agent follows proven methods instead of improvising.
How are AI skills created? +
A subject matter expert documents how a task should be done, the agent applies the guidance, results are reviewed, and the skill is refined. It works like training a new hire. Platforms like Gravity ship prebuilt skills and let customers create their own.
Related terms
AI Agent
An AI agent is software you can hand a task to and reasonably trust to carry it out, flag what's unclear, and tell you when it's done. Unlike chatbots or copilots that respond to prompts one message at a time, an agent works in the background across an entire task, using the platform's tools and data, and stops for human approval at defined gates.
API-First
API-first describes software where every capability is exposed through an API. In plain terms, the API is a universal door that lets software reach every piece of data in the system: sites, meters, emission factors, reports, all of it. When a platform is built this way, an AI agent can walk through any door and do broad, general work on your behalf.
AI in Carbon Accounting
AI in carbon accounting refers to the application of artificial intelligence — including machine learning, natural language processing, and agentic workflows — to automate data collection, classify emission sources, match emission factors, detect anomalies, enrich supplier data, and generate disclosure-ready reports with reduced manual effort.