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Get Started Free →Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
.claude/skills/davila7-parallel-agents/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-08 | ✗→✓ | ▲ Improved | -3% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 12% | 0% |
| case-17 | ✗→✓ | ▲ Improved | 79% | 0% |
| case-19 | ✗→✓ | ▲ Improved | 27% | 0% |
| case-03 | ✓→✗ | ▼ Worse | 10% | 0% |
> Orchestration through Claude Code's built-in Agent Tool
This skill enables coordinating multiple specialized agents through Claude Code's native agent system. Unlike external scripts, this approach keeps all orchestration within Claude's control.
✅ Good for:
❌ Not for:
Use the security-auditor agent to review authenticationFirst, use the explorer-agent to discover project structure.
Then, use the backend-specialist to review API endpoints.
Finally, use the test-engineer to identify test gaps.Use the frontend-specialist to analyze React components.
Based on those findings, have the test-engineer generate component tests.Resume agent [agentId] and continue with additional requirements.Agents: explorer-agent → [domain-agents] → synthesis
1. explorer-agent: Map codebase structure
2. security-auditor: Security posture
3. backend-specialist: API quality
4. frontend-specialist: UI/UX patterns
5. test-engineer: Test coverage
6. Synthesize all findingsAgents: affected-domain-agents → test-engineer
1. Identify affected domains (backend? frontend? both?)
2. Invoke relevant domain agents
3. test-engineer verifies changes
4. Synthesize recommendationsAgents: security-auditor → penetration-tester → synthesis
1. security-auditor: Configuration and code review
2. penetration-tester: Active vulnerability testing
3. Synthesize with prioritized remediation| Agent | Expertise | Trigger Phrases | |-------|-----------|-----------------| | orchestrator | Coordination | "comprehensive", "multi-perspective" | | security-auditor | Security | "security", "auth", "vulnerabilities" | | penetration-tester | Security Testing | "pentest", "red team", "exploit" | | backend-specialist | Backend | "API", "server", "Node.js", "Express" | | frontend-specialist | Frontend | "React", "UI", "components", "Next.js" | | test-engineer | Testing | "tests", "coverage", "TDD" | | devops-engineer | DevOps | "deploy", "CI/CD", "infrastructure" | | database-architect | Database | "schema", "Prisma", "migrations" | | mobile-developer | Mobile | "React Native", "Flutter", "mobile" | | api-designer | API Design | "REST", "GraphQL", "OpenAPI" | | debugger | Debugging | "bug", "error", "not working" | | explorer-agent | Discovery | "explore", "map", "structure" | | documentation-writer | Documentation | "write docs", "create README", "generate API docs" | | performance-optimizer | Performance | "slow", "optimize", "profiling" | | project-planner | Planning | "plan", "roadmap", "milestones" | | seo-specialist | SEO | "SEO", "meta tags", "search ranking" | | game-developer | Game Development | "game", "Unity", "Godot", "Phaser" |
These work alongside custom agents:
| Agent | Model | Purpose | |-------|-------|---------| | Explore | Haiku | Fast read-only codebase search | | Plan | Sonnet | Research during plan mode | | General-purpose | Sonnet | Complex multi-step modifications |
Use Explore for quick searches, custom agents for domain expertise.
After all agents complete, synthesize:
markdown## Orchestration Synthesis ### Task Summary [What was accomplished] ### Agent Contributions | Agent | Finding | |-------|---------| | security-auditor | Found X | | backend-specialist | Identified Y | ### Consolidated Recommendations 1. **Critical**: [Issue from Agent A] 2. **Important**: [Issue from Agent B] 3. **Nice-to-have**: [Enhancement from Agent C] ### Action Items - [ ] Fix critical security issue - [ ] Refactor API endpoint - [ ] Add missing tests
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-04 | pass→pass | 1,587 | 2,703 | +70% | 1 | 1 | 0% | 177 | 1,629 | +820% | 0 | 0 | — |
case-01 | fail→fail | 20,029 | 12,768 | -36% | 1 | 1 | 0% | 2,913 | 2,938 | +1% | 0 | 0 | — |
case-02 | fail→fail | 30,816 | 3,672 | -88% | 1 | 1 | 0% | 6,195 | 1,892 | -69% | 0 | 0 | — |
case-03 | pass→fail | 18,928 | 12,142 | -36% | 1 | 1 | 0% | 2,562 | 2,814 | +10% | 0 | 0 | — |
case-05 | fail→fail | 4,330 | 3,476 | -20% | 1 | 1 | 0% | 770 | 1,842 | +139% | 0 | 0 | — |
case-06 | pass→pass | 2,710 | 4,827 | +78% | 1 | 1 | 0% | 528 | 2,112 | +300% | 0 | 0 | — |
case-07 | fail→fail | 11,778 | 7,514 | -36% | 1 | 1 | 0% | 1,806 | 2,415 | +34% | 0 | 0 | — |
case-08 | fail→pass | 14,040 | 6,630 | -53% | 1 | 1 | 0% | 2,490 | 2,417 | -3% | 0 | 0 | — |
case-09 | pass→pass | 14,956 | 11,253 | -25% | 1 | 1 | 0% | 2,341 | 3,181 | +36% | 0 | 0 | — |
case-10 | fail→pass | 10,635 | 4,550 | -57% | 1 | 1 | 0% | 1,804 | 2,019 | +12% | 0 | 0 | — |
case-11 | pass→pass | 6,038 | 2,903 | -52% | 1 | 1 | 0% | 1,046 | 1,473 | +41% | 0 | 0 | — |
case-12 | pass→pass | 8,221 | 1,790 | -78% | 1 | 1 | 0% | 1,334 | 1,493 | +12% | 0 | 0 | — |
case-13 | pass→pass | 10,132 | 5,441 | -46% | 1 | 1 | 0% | 1,605 | 1,794 | +12% | 0 | 0 | — |
case-14 | pass→pass | 9,811 | 2,143 | -78% | 1 | 1 | 0% | 1,562 | 1,515 | -3% | 0 | 0 | — |
case-15 | pass→pass | 9,304 | 3,504 | -62% | 1 | 1 | 0% | 1,509 | 1,903 | +26% | 0 | 0 | — |
case-16 | pass→pass | 11,906 | 3,870 | -67% | 1 | 1 | 0% | 1,816 | 1,891 | +4% | 0 | 0 | — |
case-17 | fail→pass | 6,273 | 2,624 | -58% | 1 | 1 | 0% | 930 | 1,667 | +79% | 0 | 0 | — |
case-18 | fail→fail | 18,989 | 14,453 | -24% | 1 | 1 | 0% | 2,614 | 3,791 | +45% | 0 | 0 | — |
case-19 | fail→pass | 11,003 | 6,175 | -44% | 1 | 1 | 0% | 1,623 | 2,058 | +27% | 0 | 0 | — |
case-20 | pass→pass | 9,504 | 3,504 | -63% | 1 | 1 | 0% | 1,753 | 1,884 | +7% | 0 | 0 | — |
case-21 | pass→pass | 5,600 | 2,190 | -61% | 1 | 1 | 0% | 1,058 | 1,604 | +52% | 0 | 0 | — |
case-22 | pass→pass | 7,618 | 1,733 | -77% | 1 | 1 | 0% | 1,274 | 1,483 | +16% | 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 +14 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.