◇ Could this help me?
Yes. All six tips match documented Claude Code best practices (model-to-task matching, /clear for context hygiene, Escape to interrupt and re-plan, a concise repo CLAUDE.md, specific prompts), carry zero safety risk, and directly cut token spend and improve output quality. This is general Claude Code usage discipline that applies to every project; the one number worth checking rather than quoting is the exact Haiku-to-Opus cost ratio, which shifts between model generations even though Haiku staying far cheaper does not.
Audit how this project uses Claude for token efficiency using six checks: 1) which recurring tasks could run on a cheaper model like Haiku instead of the largest model, 2) whether failed prompts get retried unchanged instead of re-planned, 3) whether prompts name the file, function, and constraint or lean on vague asks, 4) whether sessions run long enough to bloat context when /clear and a fresh chat would be cheaper, 5) whether wrong-direction agent runs get interrupted early, and 6) whether the repo has a concise CLAUDE.md (about 200 lines) that spares re-explaining the codebase. Report findings with a concrete fix for each, and if the CLAUDE.md is missing or bloated, draft one for review before changing anything.