@meir-labs/skill-supercharge
v0.1.0
Published
Turn any task into a don't-stop-until-wowed quality loop: builder subagents fan out one per dimension, a separate harsh critic judges each blind against a named best-in-class benchmark, and the loop exits on the quality gate — never an iteration count. np
Maintainers
Readme
@meir-labs/skill-supercharge
Most "make this better" loops stop when the model runs out of ideas, not when the work is actually good. This skill replaces that with a quality gate: the task is split into dimensions, one builder subagent owns each, and a separate harsh critic judges each dimension blind against a named real benchmark — Linear's dashboard, an actual published cold email, Stripe's docs page. The loop exits when every critic is wowed, never on a round counter.
Install
# into the current project (./.claude/skills/supercharge)
npx @meir-labs/skill-supercharge
# into every project (~/.claude/skills/supercharge)
npx @meir-labs/skill-supercharge --globalPass --force to overwrite an existing copy. Claude Code picks the skill up on "supercharge", "/supercharge", "make it utterly perfect", "AAA quality", "best in class", or "don't stop until it's the best".
The five ingredients
- A named, real benchmark — never "make it good", always "as good as X", where X exists and can be fetched.
- Fan-out by dimension — one builder subagent per quality dimension (typography, motion, evidence, API design…).
- A separate harsh critic per dimension — the builder never grades its own work; the critic's default verdict is NOT wowed.
- Blind side-by-side — the acceptance test is picking a winner between our result and the real benchmark, not scoring a rubric in isolation.
- DON'T STOP — no iteration caps. Stalling escalates strategy instead of shipping. A partial pass is reported as NOT DONE, never rounded up to a win.
Invoking it is explicit opt-in to large subagent fan-outs and ultracode-scale token spend, and it overrides the usual proportionality rule for that one task.
The skill is plain markdown — read it before you run it: files/.
Full page: meirlabs.com/skills/supercharge.
