query-optimization
query-optimization is a Databases & SQL skill for AI agents, published by msrv-tech in the skills repository on GitHub. Skillspace rates query-optimization D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Compose correct and optimized 1C:Enterprise query language queries. Covers ВЫБРАТЬ/ИЗ/ГДЕ structure, table naming (catalogs, documents, registers, virtual tables), field selection, joins, grouping, totals, temporary tables, and parameter usage. Includes accounting register virtual tables (Остатки, Обороты, ОстаткиИОбороты, ОборотыДтКт, ДвиженияССубконто) with Счет, Субконто, and correspondence parameters. Use when the agent needs to compose a 1C query for execute_query, or when the user asks to query, filter, aggregate, or analyze data from a 1C database. Triggered by requests involving 1C data retrieval, report building, or query debugging.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 40
Unproven: rated by static analysis only, not yet compared head-to-head.
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Our review
- Architecture
- 81 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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