gaasher
출처를 확인한 실질적인 문서가 있는 Skill 2개입니다. 카드를 열어 원문, 패키지 구성과 설치 방법을 확인하세요.
gaasheroptimize-loop
Use when the user wants to iteratively improve an artifact under a hard correctness bound while minimizing a measured cost — refactoring a code module to cut complexity while its test suite stays green, OR speeding up a SQL query while it returns the same rows. Each iteration applies one focused change, checks a correctness gate that must pass, measures a metric that must drop, and keeps the change only if both hold, else reverts; loops to a plateau or budget. Not for adding features, fixing bug
- 1시간 설치 수
- 1
- GitHub Stars
- 173
- 업데이트
- 6월 30일
gaashertabular-cleanup
Use when the user has a messy tabular data dump (CSV/TSV/parquet/Excel/JSON) and wants it iteratively cleaned to an inferred data contract — a checklist of deterministic pass/fail checks, not a quality score. A single agent profiles the table, synthesizes a per-column contract compiled into binary checks (types, nulls, duplicates, inconsistent categories, format/range violations, outliers), then applies one targeted transform at a time, keeping it only if it reduces its target check's violations
- 1시간 설치 수
- 1
- GitHub Stars
- 173
- 업데이트
- 6월 30일