Run a long-horizon coding task as a small graph of agent nodes driven by two scheduled loops, instead of one drifting loop. Generates an executor node (works against a single-source-of-truth ledger) and a clean-context supervisor node that audits from outside the executor's context — re-verifying claimed-done work, checkpoint-committing what passes, and correcting drift through a one-way directives file. Use for multi-round tasks where an agent tends to scope-creep, fake "done", or quietly lower the bar, and where you'll drive it with the /loop primitive (Claude Code, Grok, Cursor, shell). Nodes share no context, so the executor runs on a cheap/fast model while a strong model supervises. (The methodology this arm implements is still called "graphkit" internally; runs generate into .graphkit/<date-slug>/.)
$npx -y skills add levi-qiao/graphkit --skill loop-graphInstalls into the current project.
Run `npx skills use "https://github.com/levi-qiao/graphkit" --skill "levi-qiao/graphkit/loop-graph"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/levi-qiao/graphkit" that are relevant to the current task. Run `npx skills add "https://github.com/levi-qiao/graphkit"` and select the relevant skills, then follow their instructions.