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Get Started Free →Manage Firebase/Firestore operations including CRUD, queries, batch processing, and index/rule guidance. Use when you need to create/update/query Firestore documents, run batch writes, troubleshoot missing indexes, or plan migrations. Trigger with phrases like "firestore operations", "create firestore document", "batch write", "missing index", or "fix firestore query".
.claude/skills/jeremylongshore-firestore-operations-manager/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 26% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 22% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 12% | 0% |
| case-16 | ✗→✓ | ▲ Improved | 34% | 0% |
| case-05 | ✓→✓ | = Same ✓ | 0% | 0% |
Operate Firestore safely in production: schema-aware CRUD, query/index tuning, batch processing, and guardrails for permissions and cost.
Use this skill to design Firestore data access patterns and implement changes with the right indexes, security rules, and operational checks (emulator tests, monitoring, and rollback plans).
firestore.indexes.json updatesExample: Fix a failing query
Example: Batch migration
${CLAUDE_SKILL_DIR}/references/SKILL.full.md| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 14,147 | 13,374 | -5% | 1 | 1 | 0% | 1,727 | 2,173 | +26% | 0 | 0 | — |
case-02 | fail→fail | 18,399 | 19,118 | +4% | 1 | 1 | 0% | 3,488 | 4,164 | +19% | 0 | 0 | — |
case-03 | fail→fail | 33,290 | 21,306 | -36% | 1 | 1 | 0% | 4,847 | 3,340 | -31% | 0 | 0 | — |
case-04 | fail→fail | 14,698 | 9,253 | -37% | 1 | 1 | 0% | 1,785 | 2,230 | +25% | 0 | 0 | — |
case-05 | pass→pass | 15,232 | 16,346 | +7% | 1 | 1 | 0% | 2,751 | 2,761 | +0% | 0 | 0 | — |
case-06 | fail→pass | 15,123 | 20,400 | +35% | 1 | 1 | 0% | 3,005 | 3,679 | +22% | 0 | 0 | — |
case-07 | pass→pass | 13,054 | 14,943 | +14% | 1 | 1 | 0% | 1,594 | 2,378 | +49% | 0 | 0 | — |
case-08 | pass→pass | 31,263 | 25,491 | -18% | 1 | 1 | 0% | 5,163 | 5,487 | +6% | 0 | 0 | — |
case-09 | fail→pass | 19,693 | 18,894 | -4% | 1 | 1 | 0% | 2,891 | 3,235 | +12% | 0 | 0 | — |
case-10 | pass→pass | 19,088 | 19,069 | -0% | 1 | 1 | 0% | 2,645 | 3,003 | +14% | 0 | 0 | — |
case-11 | pass→pass | 14,011 | 14,828 | +6% | 1 | 1 | 0% | 1,576 | 2,305 | +46% | 0 | 0 | — |
case-12 | fail→fail | 20,830 | 16,620 | -20% | 1 | 1 | 0% | 3,837 | 3,594 | -6% | 0 | 0 | — |
case-13 | pass→pass | 18,170 | 15,264 | -16% | 1 | 1 | 0% | 2,579 | 2,615 | +1% | 0 | 0 | — |
case-14 | pass→pass | 21,154 | 23,606 | +12% | 1 | 1 | 0% | 2,887 | 3,866 | +34% | 0 | 0 | — |
case-15 | fail→fail | 14,744 | 11,215 | -24% | 1 | 1 | 0% | 2,458 | 2,582 | +5% | 0 | 0 | — |
case-16 | fail→pass | 14,964 | 10,563 | -29% | 1 | 1 | 0% | 1,848 | 2,470 | +34% | 0 | 0 | — |
case-17 | pass→pass | 14,636 | 12,682 | -13% | 1 | 1 | 0% | 1,746 | 1,890 | +8% | 0 | 0 | — |
case-18 | fail→fail | 16,716 | 15,840 | -5% | 1 | 1 | 0% | 3,438 | 4,019 | +17% | 0 | 0 | — |
case-19 | pass→pass | 18,549 | 19,812 | +7% | 1 | 1 | 0% | 2,911 | 3,660 | +26% | 0 | 0 | — |
case-20 | pass→pass | 17,380 | 18,516 | +7% | 1 | 1 | 0% | 3,509 | 3,352 | -4% | 0 | 0 | — |
case-21 | pass→pass | 10,572 | 14,218 | +34% | 1 | 1 | 0% | 2,254 | 2,629 | +17% | 0 | 0 | — |
case-22 | pass→pass | 8,912 | 6,224 | -30% | 1 | 1 | 0% | 1,951 | 1,858 | -5% | 0 | 0 | — |
case-23 | pass→pass | 17,294 | 20,306 | +17% | 1 | 1 | 0% | 2,643 | 3,701 | +40% | 0 | 0 | — |
case-24 | fail→fail | 10,828 | 16,678 | +54% | 1 | 1 | 0% | 2,090 | 3,160 | +51% | 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. 24 cases were attempted. The headline lift of +17 percentage points is the difference between those two pass rates over the 24 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.