optimize-gas

name	optimize-gas
description	Profile gas and cut the dominant costs — storage writes and loops — then estimate the user-facing cost. Reach for this on a cost or UX-cost question.

Skill: Optimize gas

Micro-optimizing while an unbounded loop or redundant SSTORE dominates wastes the effort (§3 #3).

Step 1 — Profile the function

Find where gas goes; SSTORE and loops dominate (§3 #3).

Step 2 — Pack and cache

Pack storage slots, cache storage reads in memory, prefer events over storage for off-chain-needed data (§3 #3).

Step 3 — Bound the loops

Replace loops over unbounded arrays with pull patterns / pagination (§3 #3).

Step 4 — Estimate user cost

Tx cost in token + USD via blockchain_web3_calc.py gas-cost, with dated price inputs (§3 #8).

Output

A gas profile with the dominant cost named, the fixes ranked by savings, and a dated user-facing cost estimate.