OnPoint: one switch that makes AI coding agents say less and do more

Developer Junchen Pan released OnPoint, an MIT-licensed skill that installs into 12+ AI coding agents including Claude Code, Cursor, and Codex to make them emit less prose and more actionable steps. Pan reports that on long-horizon runs the tool cut token usage by roughly 23% without requiring a new agent stack.

Most AI coding agents bury the next useful step under walls of prose. Long sessions burn tokens on filler instead of decisions. OnPoint is one install that teaches 12+ AI coding agents Claude Code, Cursor, Codex, and more the same habit: On long-horizon runs we measured about 23% fewer tokens , without inventing a new agent stack. Repo MIT : https://github.com/HuskyDanny/OnPoint https://github.com/HuskyDanny/OnPoint For Claude Code: npx skills add HuskyDanny/OnPoint Or point your agent at the skill files in the repo and keep shipping. Built by Junchen Pan https://github.com/HuskyDanny . Feedback welcome on the Issues tab.