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Get Started Free →Jira expert for project setup, workflow design, JQL queries, custom fields, automation rules, dashboards, and reporting. Use for Jira configuration, advanced search, board and dashboard creation, and technical Jira operations.
.claude/skills/borghei-jira-expert/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | -37% | 0% |
| case-13 | ✓→✗ | ▼ Worse | 20% | 0% |
| case-14 | ✓→✗ | ▼ Worse | 38% | 0% |
| case-01 | ✓→✓ | ＝ Same ✓ | 20% | 0% |
| case-19 | ✓→✓ | ＝ Same ✓ | 13% | 0% |
Master-level expertise in Jira configuration, project management, JQL, workflows, automation, and reporting. Handles all technical and operational aspects of Jira.
Load the reference that matches the task — keep this file lean and pull detail on demand:
In Scope: Jira project creation and configuration, workflow design and implementation, JQL query authoring and optimization, automation rule design, dashboard and reporting setup, custom field management, board configuration, bulk operations, issue linking strategies.
Out of Scope: Org-wide Atlassian administration (hand off to atlassian-admin/), Confluence space management (hand off to confluence-expert/), sprint execution and team coaching (hand off to scrum-master/), strategic project prioritization (hand off to senior-pm/).
Limitations: Jira Cloud automation has monthly execution limits per plan tier. Complex JQL on large instances (>100K issues) may hit performance ceilings. Workflow changes to active projects require careful migration planning -- retroactive changes do not apply to in-flight issues.
| Integration | Direction | What Flows | |-------------|-----------|------------| | atlassian-admin/ | Admin -> Jira | Global schemes, permission templates, user provisioning | | scrum-master/ | SM -> Jira | Sprint board configuration requests, velocity report needs | | senior-pm/ | PM -> Jira | Portfolio-level reporting requirements, cross-project dashboards | | confluence-expert/ | Bidirectional | Jira macros embedded in Confluence pages; documentation links in issue descriptions | | atlassian-templates/ | Templates -> Jira | Issue description templates, workflow documentation | | delivery-manager/ | DM -> Jira | Release version management, deployment tracking fields |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 23,211 | 23,305 | +0% | 1 | 1 | 0% | 4,032 | 4,838 | +20% | 0 | 0 | — |
case-19 | pass→pass | 10,179 | 7,316 | -28% | 1 | 1 | 0% | 1,857 | 2,091 | +13% | 0 | 0 | — |
case-02 | pass→pass | 7,946 | 8,614 | +8% | 1 | 1 | 0% | 1,422 | 2,326 | +64% | 0 | 0 | — |
case-03 | fail→fail | 12,218 | 12,634 | +3% | 1 | 1 | 0% | 2,030 | 2,807 | +38% | 0 | 0 | — |
case-04 | pass→pass | 13,570 | 12,512 | -8% | 1 | 1 | 0% | 2,112 | 2,688 | +27% | 0 | 0 | — |
case-05 | pass→pass | 12,103 | 13,374 | +11% | 1 | 1 | 0% | 2,246 | 2,826 | +26% | 0 | 0 | — |
case-06 | fail→fail | 14,917 | 16,914 | +13% | 1 | 1 | 0% | 2,438 | 3,721 | +53% | 0 | 0 | — |
case-07 | fail→pass | 17,654 | 16,792 | -5% | 1 | 1 | 0% | 2,708 | 1,713 | -37% | 0 | 0 | — |
case-08 | fail→fail | 18,625 | 17,775 | -5% | 1 | 1 | 0% | 2,655 | 3,373 | +27% | 0 | 0 | — |
case-09 | fail→fail | 16,768 | 21,698 | +29% | 1 | 1 | 0% | 2,847 | 4,631 | +63% | 0 | 0 | — |
case-10 | pass→pass | 6,543 | 6,820 | +4% | 1 | 1 | 0% | 1,141 | 2,003 | +76% | 0 | 0 | — |
case-11 | fail→fail | 10,983 | 11,149 | +2% | 1 | 1 | 0% | 1,915 | 2,669 | +39% | 0 | 0 | — |
case-12 | pass→pass | 17,384 | 11,435 | -34% | 1 | 1 | 0% | 2,951 | 2,739 | -7% | 0 | 0 | — |
case-13 | pass→fail | 16,827 | 14,185 | -16% | 1 | 1 | 0% | 2,565 | 3,078 | +20% | 0 | 0 | — |
case-14 | pass→fail | 7,829 | 6,458 | -18% | 1 | 1 | 0% | 1,377 | 1,897 | +38% | 0 | 0 | — |
case-15 | pass→pass | 8,971 | 11,050 | +23% | 1 | 1 | 0% | 1,561 | 2,595 | +66% | 0 | 0 | — |
case-16 | fail→fail | 10,118 | 10,476 | +4% | 1 | 1 | 0% | 1,699 | 2,592 | +53% | 0 | 0 | — |
case-17 | pass→pass | 13,168 | 14,188 | +8% | 1 | 1 | 0% | 2,002 | 3,305 | +65% | 0 | 0 | — |
case-18 | pass→pass | 10,002 | 10,438 | +4% | 1 | 1 | 0% | 1,645 | 2,519 | +53% | 0 | 0 | — |
case-20 | pass→pass | 14,176 | 13,795 | -3% | 1 | 1 | 0% | 2,114 | 3,120 | +48% | 0 | 0 | — |
case-21 | pass→pass | 12,015 | 11,416 | -5% | 1 | 1 | 0% | 1,929 | 2,596 | +35% | 0 | 0 | — |
case-22 | pass→pass | 10,446 | 10,847 | +4% | 1 | 1 | 0% | 1,768 | 2,651 | +50% | 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 -33 percentage points is the difference between those two pass rates over the 22 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.