AI skills

Free checks your team's own AI runs on your records. The data quality check works on any project's data; the planting records check adds questions for tree planting. Each reads only the files you give it, and nothing comes to us.

  • Planting records check

    Tree planting

    Can your planting records say who planted what, exactly where and when?

    1. The four planting questions, answeredWhether your records can say who planted what, exactly where and when, and where they fall short.
    2. Tree counts you can stand behindPlanned, dispatched, planted and surviving trees kept apart, and planted areas checked on the map.
    3. The whole data quality checkHow your records connect, four tests and what to fix first, with the rows behind each gap.

    You give it A planting log, or a whole project folder

    The first planting question in the example report for a made-up project: "Who planted?" graded Weak, with three rows where one planter is spelled three ways.
  • Data quality check

    Any project

    Can you trust your project's data, from cookstoves to water points or trainings?

    1. How your data connectsWhether places, people, activities and follow-ups share IDs, and where the links break.
    2. Every gap, with its rowsWhat's missing, blank, wrong or out of date, in one spreadsheet.
    3. What to fix firstThe three fixes that matter most for what the data is for.

    You give it One file or a whole project folder

    How the records connect in the example report for a made-up cookstove project: villages graded Good, households OK because one household has no ID and another is written two ways.

Install them in your agent

Claude Code, Codex, Cursor and other agents that read skill files can install both at once.

npx skills add restoration-scope/skills

See them on GitHub

Connect your data, understand your operations.

Bring in the spreadsheets, field forms and maps you already use, and see every site in one place.