VideoBetter AI output comes from a better process
TL;DR Context, scope, plan, test, verify: a fixed routine of skills gives steadier results than a clever prompt.
Better AI output comes from a better process, not a cleverer prompt. I run the same routine of skills for every bigger task, and I even switch agents between steps.
Why it works: less randomness, a clean context at every step, and a chance for you to review along the way. It runs in Claude Code, Codex, Cursor and Gemini CLI.
- /context: pin the facts first
- /scope: write the non-goals
- /plan: review the plan, not the diff
- /test: checkable, not plausible
- /verify: run it, don't just trust it
- /redteam: break it before users do
Try this
Steal one step this week. /scope alone stops a lot of silent feature creep.
