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Get Started Free →ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
.claude/skills/dokhacgiakhoa-agent-clickhouse-io/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-14 | ✗→✓ | ▲ Improved | 154% | 0% |
| case-12 | ✓→✓ | ＝ Same ✓ | -13% | 0% |
| case-01 | ✓→✓ | ＝ Same ✓ | 51% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | 38% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 51% | 0% |
ClickHouse-specific patterns for high-performance analytics and data engineering.
ClickHouse is a column-oriented database management system (DBMS) for online analytical processing (OLAP). It's optimized for fast analytical queries on large datasets.
Key Features:
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-12 | pass→pass | 7,250 | 4,107 | -43% | 1 | 1 | 0% | 1,481 | 1,293 | -13% | 0 | 0 | — |
case-01 | pass→pass | 9,583 | 20,310 | +112% | 1 | 1 | 0% | 1,385 | 2,085 | +51% | 0 | 0 | — |
case-02 | pass→pass | 9,856 | 8,619 | -13% | 1 | 1 | 0% | 1,438 | 1,985 | +38% | 0 | 0 | — |
case-03 | pass→pass | 5,415 | 5,614 | +4% | 1 | 1 | 0% | 897 | 1,352 | +51% | 0 | 0 | — |
case-04 | pass→pass | 18,937 | 20,215 | +7% | 1 | 1 | 0% | 2,749 | 3,769 | +37% | 0 | 0 | — |
case-05 | pass→pass | 11,262 | 12,404 | +10% | 1 | 1 | 0% | 2,122 | 2,750 | +30% | 0 | 0 | — |
case-06 | pass→pass | 14,646 | 13,126 | -10% | 1 | 1 | 0% | 2,785 | 2,693 | -3% | 0 | 0 | — |
case-07 | pass→pass | 13,903 | 13,833 | -1% | 1 | 1 | 0% | 2,017 | 2,599 | +29% | 0 | 0 | — |
case-08 | pass→pass | 13,585 | 12,236 | -10% | 1 | 1 | 0% | 2,023 | 2,610 | +29% | 0 | 0 | — |
case-09 | pass→pass | 8,037 | 6,268 | -22% | 1 | 1 | 0% | 1,123 | 1,642 | +46% | 0 | 0 | — |
case-10 | pass→pass | 18,441 | 22,682 | +23% | 1 | 1 | 0% | 3,247 | 3,988 | +23% | 0 | 0 | — |
case-11 | pass→pass | 5,989 | 5,633 | -6% | 1 | 1 | 0% | 1,168 | 1,550 | +33% | 0 | 0 | — |
case-13 | pass→pass | 10,147 | 12,286 | +21% | 1 | 1 | 0% | 1,577 | 2,433 | +54% | 0 | 0 | — |
case-14 | fail→pass | 4,835 | 6,085 | +26% | 1 | 1 | 0% | 637 | 1,620 | +154% | 0 | 0 | — |
case-15 | pass→pass | 6,655 | 6,929 | +4% | 1 | 1 | 0% | 1,183 | 1,539 | +30% | 0 | 0 | — |
case-16 | pass→pass | 11,268 | 10,608 | -6% | 1 | 1 | 0% | 2,068 | 2,535 | +23% | 0 | 0 | — |
case-17 | pass→pass | 17,419 | 17,443 | +0% | 1 | 1 | 0% | 2,889 | 3,204 | +11% | 0 | 0 | — |
case-18 | pass→pass | 5,729 | 5,544 | -3% | 1 | 1 | 0% | 1,016 | 1,694 | +67% | 0 | 0 | — |
case-19 | pass→pass | 4,120 | 6,657 | +62% | 1 | 1 | 0% | 769 | 1,489 | +94% | 0 | 0 | — |
case-20 | pass→pass | 19,929 | 18,448 | -7% | 1 | 1 | 0% | 3,334 | 3,385 | +2% | 0 | 0 | — |
case-21 | pass→pass | 12,446 | 8,622 | -31% | 1 | 1 | 0% | 2,296 | 2,166 | -6% | 0 | 0 | — |
case-22 | pass→pass | 16,482 | 16,755 | +2% | 1 | 1 | 0% | 3,021 | 3,664 | +21% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +5 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.