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Get Started Free →Bootstrap and run a multi-agent AI development team. Use when: starting a new software project with AI agents, setting up parallel dev/QA teams, creating sprint plans, writing brainstorm prompts with distinct agent voices, recovering a project workflow, or planning sprints.
.claude/skills/ai-team-orchestration/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-05 | ✗→✓ | ▲ Improved | -10% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -18% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 53% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 11% | 0% |
| case-15 | ✗→✓ | ▲ Improved | -15% | 0% |
Use three stable agents:
| Agent | Purpose | |---|---| | @ai-team-producer | Clarify scope, plan proportionately, coordinate, and merge | | @ai-team-dev | Implement, test, self-review, and prepare the pull request | | @ai-team-qa | Independently test behavior when dedicated QA is useful |
Nova, Sage, and Milo are perspectives inside the Dev agent, not mandatory project layers.
Plan -> Implement -> Test -> optional review or QA -> Merge -> update project state
Keep the workflow proportional:
PROJECT_BRIEF.md only when durable cross-session context is useful. Start from the project brief template and omit irrelevant sections.Use the brainstorm format for product or architecture decisions that benefit from competing perspectives. For ordinary implementation choices, let Dev decide using repository conventions.
Before ending a long or interrupted session:
textRead the repository instructions, then read whichever sources exist for this work: the active issue or request, PROJECT_BRIEF.md, and the active plan or progress note. Continue from the recorded next action.
The bundled agents intentionally omit tools and model frontmatter:
If the environment exposes too many tools, deselect irrelevant tools or MCP servers, or use VS Code virtual-tool management. Do not add a machine-specific plugin allowlist.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 22,501 | 3,102 | -86% | 1 | 1 | 0% | 4,254 | 999 | -77% | 0 | 0 | — |
case-02 | fail→fail | 25,677 | 2,584 | -90% | 1 | 1 | 0% | 5,096 | 957 | -81% | 0 | 0 | — |
case-03 | fail→fail | 4,739 | 3,309 | -30% | 1 | 1 | 0% | 207 | 1,019 | +392% | 0 | 0 | — |
case-04 | pass→pass | 6,567 | 2,864 | -56% | 1 | 1 | 0% | 1,086 | 1,257 | +16% | 0 | 0 | — |
case-05 | fail→pass | 13,227 | 7,095 | -46% | 1 | 1 | 0% | 2,203 | 1,992 | -10% | 0 | 0 | — |
case-06 | fail→pass | 9,632 | 2,671 | -72% | 1 | 1 | 0% | 1,494 | 1,221 | -18% | 0 | 0 | — |
case-07 | pass→pass | 11,027 | 4,210 | -62% | 1 | 1 | 0% | 1,957 | 1,492 | -24% | 0 | 0 | — |
case-08 | pass→pass | 9,424 | 5,657 | -40% | 1 | 1 | 0% | 1,639 | 1,744 | +6% | 0 | 0 | — |
case-09 | pass→pass | 7,421 | 3,993 | -46% | 1 | 1 | 0% | 1,170 | 1,191 | +2% | 0 | 0 | — |
case-10 | pass→pass | 6,082 | 2,618 | -57% | 1 | 1 | 0% | 989 | 1,176 | +19% | 0 | 0 | — |
case-11 | fail→pass | 23,984 | 4,778 | -80% | 1 | 1 | 0% | 1,006 | 1,541 | +53% | 0 | 0 | — |
case-12 | pass→pass | 5,420 | 3,615 | -33% | 1 | 1 | 0% | 876 | 1,294 | +48% | 0 | 0 | — |
case-13 | pass→pass | 10,781 | 6,195 | -43% | 1 | 1 | 0% | 1,655 | 1,849 | +12% | 0 | 0 | — |
case-14 | fail→pass | 6,440 | 2,446 | -62% | 1 | 1 | 0% | 1,049 | 1,163 | +11% | 0 | 0 | — |
case-15 | fail→pass | 11,059 | 5,562 | -50% | 1 | 1 | 0% | 2,036 | 1,721 | -15% | 0 | 0 | — |
case-16 | pass→pass | 12,754 | 6,128 | -52% | 1 | 1 | 0% | 2,035 | 1,807 | -11% | 0 | 0 | — |
case-17 | pass→pass | 14,334 | 8,508 | -41% | 1 | 1 | 0% | 2,356 | 2,099 | -11% | 0 | 0 | — |
case-18 | fail→pass | 13,090 | 7,353 | -44% | 1 | 1 | 0% | 1,852 | 2,084 | +13% | 0 | 0 | — |
case-19 | pass→pass | 6,437 | 4,220 | -34% | 1 | 1 | 0% | 1,323 | 1,572 | +19% | 0 | 0 | — |
case-20 | pass→pass | 6,668 | 5,023 | -25% | 1 | 1 | 0% | 1,245 | 1,712 | +38% | 0 | 0 | — |
case-21 | pass→pass | 5,218 | 3,076 | -41% | 1 | 1 | 0% | 947 | 1,338 | +41% | 0 | 0 | — |
case-22 | pass→pass | 14,208 | 15,839 | +11% | 1 | 1 | 0% | 2,621 | 3,338 | +27% | 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 18 counted toward the lift figure. The other 4 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 18 comparable cases. 1 case got worse with the skill loaded, and it is 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.
| Model | Method | Date | Lift |
|---|---|---|---|
| gemini-3.6-flash | verified | 7/23/2026 | +59% |
Other measured skills in the registry, with their headline benchmark lift.