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Get Started Free →Orchestrate a comprehensive git workflow from code review through PR creation, leveraging specialized agents for quality assurance, testing, and deployment readiness. This workflow implements modern g
.claude/skills/lingxling-git-pr-workflows-git-workflow/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-06 | ✗→✓ | ▲ Improved | -6% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -16% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 40% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 77% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 64% | 0% |
Orchestrate a comprehensive git workflow from code review through PR creation, leveraging specialized agents for quality assurance, testing, and deployment readiness. This workflow implements modern git best practices including Conventional Commits, automated testing, and structured PR creation.
Extended thinking: This workflow coordinates multiple specialized agents to ensure code quality before commits are made. The code-reviewer agent performs initial quality checks, test-automator ensures all tests pass, and deployment-engineer verifies production readiness. By orchestrating these agents sequentially with context passing, we prevent broken code from entering the repository while maintaining high velocity. The workflow supports both trunk-based and feature-branch strategies with configurable options for different team needs.]
resources/implementation-playbook.md.Target branch: $ARGUMENTS (defaults to 'main' if not specified)
Supported flags:
--skip-tests: Skip automated test execution (use with caution)--draft-pr: Create PR as draft for work-in-progress--no-push: Perform all checks but don't push to remote--squash: Squash commits before pushing--conventional: Enforce Conventional Commits format strictly--trunk-based: Use trunk-based development workflow--feature-branch: Use feature branch workflow (default)In case of issues after merge:
git revert <commit-hash>(feature|bugfix|hotfix|docs|chore)/<ticket-id>-<brief-description>| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 24,193 | 26,169 | +8% | 1 | 1 | 0% | 4,248 | 7,134 | +68% | 0 | 0 | — |
case-02 | fail→fail | 22,525 | 30,677 | +36% | 1 | 1 | 0% | 3,913 | 8,123 | +108% | 0 | 0 | — |
case-03 | pass→pass | 6,447 | 5,999 | -7% | 1 | 1 | 0% | 1,219 | 3,211 | +163% | 0 | 0 | — |
case-04 | pass→pass | 16,084 | 6,844 | -57% | 1 | 1 | 0% | 1,609 | 3,347 | +108% | 0 | 0 | — |
case-05 | pass→pass | 6,810 | 7,398 | +9% | 1 | 1 | 0% | 1,257 | 3,600 | +186% | 0 | 0 | — |
case-06 | fail→pass | 20,153 | 4,884 | -76% | 1 | 1 | 0% | 3,319 | 3,105 | -6% | 0 | 0 | — |
case-07 | fail→pass | 20,482 | 3,288 | -84% | 1 | 1 | 0% | 3,364 | 2,839 | -16% | 0 | 0 | — |
case-08 | pass→pass | 8,880 | 4,430 | -50% | 1 | 1 | 0% | 1,359 | 3,079 | +127% | 0 | 0 | — |
case-09 | fail→pass | 11,310 | 3,202 | -72% | 1 | 1 | 0% | 1,913 | 2,677 | +40% | 0 | 0 | — |
case-10 | fail→pass | 13,065 | 7,285 | -44% | 1 | 1 | 0% | 1,498 | 2,647 | +77% | 0 | 0 | — |
case-11 | pass→pass | 10,357 | 2,391 | -77% | 1 | 1 | 0% | 1,740 | 2,627 | +51% | 0 | 0 | — |
case-12 | fail→pass | 10,450 | 2,887 | -72% | 1 | 1 | 0% | 1,600 | 2,626 | +64% | 0 | 0 | — |
case-13 | fail→pass | 15,705 | 4,258 | -73% | 1 | 1 | 0% | 2,724 | 2,951 | +8% | 0 | 0 | — |
case-14 | pass→pass | 13,587 | 1,795 | -87% | 1 | 1 | 0% | 2,529 | 2,482 | -2% | 0 | 0 | — |
case-15 | pass→pass | 5,857 | 1,878 | -68% | 1 | 1 | 0% | 910 | 2,493 | +174% | 0 | 0 | — |
case-16 | pass→pass | 11,251 | 6,036 | -46% | 1 | 1 | 0% | 1,848 | 3,201 | +73% | 0 | 0 | — |
case-17 | fail→pass | 6,809 | 1,739 | -74% | 1 | 1 | 0% | 1,098 | 2,438 | +122% | 0 | 0 | — |
case-18 | pass→pass | 7,402 | 1,404 | -81% | 1 | 1 | 0% | 1,290 | 2,434 | +89% | 0 | 0 | — |
case-19 | pass→pass | 8,022 | 3,171 | -60% | 1 | 1 | 0% | 1,452 | 2,549 | +76% | 0 | 0 | — |
case-20 | pass→pass | 14,270 | 3,129 | -78% | 1 | 1 | 0% | 2,374 | 2,721 | +15% | 0 | 0 | — |
case-21 | fail→pass | 9,346 | 2,832 | -70% | 1 | 1 | 0% | 1,465 | 2,643 | +80% | 0 | 0 | — |
case-22 | fail→pass | 8,470 | 1,686 | -80% | 1 | 1 | 0% | 1,406 | 2,465 | +75% | 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 +41 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.