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Get Started Free →Use when creating or editing TiDB GitHub issues so issue templates, labels, issue titles, and issue descriptions stay consistent with repository workflow. Trigger on tasks involving issue creation, bug reports, enhancement tracking issues, label selection, or searching for existing issues and PRs before filing a new one.
.claude/skills/pingcap-tidb-issue-metadata-guard/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | 63% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 17% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 3% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 20% | 0% |
| case-17 | ✗→✓ | ▲ Improved | 51% | 0% |
Use this skill for TiDB GitHub issue metadata updates. The goal is to preserve issue-template structure, label hygiene, and searchable issue descriptions.
Before creating or editing an issue, read the matching file under .github/ISSUE_TEMPLATE/.
<details> block.<details>.<details> for long raw artifacts, and short evidence-backed analysis when needed.gh issue create, add labels explicitly when the GitHub UI would normally auto-apply them.gh issue edit so labels reflect the current state after the body update.component/* label.severity/* and affected-version labels when appropriate.severity/major.severity/major.severity/moderate./label <label name>.Suggested labels: ....gh.gh.<details> when needed, while the top-level summary remains visible.Suggested labels: ... comment is present when label permissions are missing.| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 29,310 | 6,914 | -76% | 1 | 1 | 0% | 6,948 | 1,114 | -84% | 0 | 0 | — |
case-02 | fail→fail | 13,951 | 9,736 | -30% | 1 | 1 | 0% | 2,347 | 1,575 | -33% | 0 | 0 | — |
case-03 | fail→fail | 24,597 | 10,576 | -57% | 1 | 1 | 0% | 4,356 | 1,288 | -70% | 0 | 0 | — |
case-04 | fail→fail | 25,632 | 9,317 | -64% | 1 | 1 | 0% | 2,621 | 2,113 | -19% | 0 | 0 | — |
case-05 | pass→pass | 14,822 | 23,416 | +58% | 1 | 1 | 0% | 2,058 | 4,484 | +118% | 0 | 0 | — |
case-06 | fail→fail | 4,837 | 6,513 | +35% | 1 | 1 | 0% | 675 | 1,805 | +167% | 0 | 0 | — |
case-07 | fail→pass | 10,774 | 11,829 | +10% | 1 | 1 | 0% | 1,755 | 2,868 | +63% | 0 | 0 | — |
case-08 | fail→fail | 12,791 | 13,808 | +8% | 1 | 1 | 0% | 1,940 | 3,161 | +63% | 0 | 0 | — |
case-09 | fail→pass | 11,757 | 7,176 | -39% | 1 | 1 | 0% | 1,644 | 1,925 | +17% | 0 | 0 | — |
case-10 | fail→pass | 10,120 | 3,868 | -62% | 1 | 1 | 0% | 1,390 | 1,430 | +3% | 0 | 0 | — |
case-11 | pass→pass | 11,993 | 13,068 | +9% | 1 | 1 | 0% | 822 | 1,387 | +69% | 0 | 0 | — |
case-12 | pass→pass | 19,525 | 9,157 | -53% | 1 | 1 | 0% | 2,669 | 2,253 | -16% | 0 | 0 | — |
case-13 | pass→pass | 12,045 | 5,343 | -56% | 1 | 1 | 0% | 1,651 | 1,630 | -1% | 0 | 0 | — |
case-14 | fail→pass | 10,392 | 5,091 | -51% | 1 | 1 | 0% | 1,351 | 1,622 | +20% | 0 | 0 | — |
case-15 | pass→pass | 9,077 | 6,432 | -29% | 1 | 1 | 0% | 1,405 | 1,786 | +27% | 0 | 0 | — |
case-16 | pass→pass | 12,772 | 7,681 | -40% | 1 | 1 | 0% | 1,886 | 1,657 | -12% | 0 | 0 | — |
case-17 | fail→pass | 26,886 | 14,635 | -46% | 1 | 1 | 0% | 2,222 | 3,361 | +51% | 0 | 0 | — |
case-18 | fail→fail | 4,872 | 3,024 | -38% | 1 | 1 | 0% | 739 | 1,233 | +67% | 0 | 0 | — |
case-19 | pass→pass | 12,628 | 10,245 | -19% | 1 | 1 | 0% | 1,647 | 2,421 | +47% | 0 | 0 | — |
case-20 | pass→pass | 11,152 | 8,369 | -25% | 1 | 1 | 0% | 1,634 | 2,336 | +43% | 0 | 0 | — |
case-21 | pass→pass | 10,443 | 10,823 | +4% | 1 | 1 | 0% | 1,423 | 1,847 | +30% | 0 | 0 | — |
case-22 | fail→pass | 11,107 | 4,157 | -63% | 1 | 1 | 0% | 1,325 | 1,407 | +6% | 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, and 19 counted toward the lift figure. The other 3 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +27 percentage points is the difference between those two pass rates over the 19 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
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.