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Multi Service Orchestration · a5c-ai | DecimalAI

a5c-ai/multi-service-orchestration

SkillScore27Maintained

PM2 process management, backend/frontend cascade execution, parallel worktree builds, and cross-service integration testing.

DevOpsby a5c-ai

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

DevOps & SRE pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/a5c-ai-multi-service-orchestration/SKILL.md

decimalai skills pull a5c-ai-multi-service-orchestration --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/a5c-ai-multi-service-orchestration/SKILL.md https://app.decimal.ai/s/a5c-ai-multi-service-orchestration/SKILL.md

Raw file: /s/a5c-ai-multi-service-orchestration/SKILL.md ↗ · machine-readable summary at /s/a5c-ai-multi-service-orchestration.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 55d ago

Yes — +27% lift-3% tokens0% turns27% of whole cases pass with skill (6/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-05	✗→✓	▲ Improved	3%	0%
case-07	✗→✓	▲ Improved	-39%	0%
case-09	✗→✓	▲ Improved	-29%	0%
case-13	✗→✓	▲ Improved	-7%	0%
case-15	✗→✓	▲ Improved	-47%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 7/31/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

a5c-ai / babysitter

library/methodologies/everything-claude-code/skills/multi-service-orchestration/SKILL.md

View on GitHub ↗

License MITImported 7/31/2026Version v1

Skill contents

SKILL.md

Scan for service directories (packages/, services/, apps/)
Parse package.json for dependencies and scripts
Build dependency graph
Detect package managers per service
Determine topological execution order
Flag circular dependencies

Execution Modes

Cascade Mode

Sequential execution following dependency order
Wait for health check before starting dependents
Stop on failure with detailed error report
Support partial cascade (skip healthy services)

Parallel Mode

Concurrent execution for independent services
Optional worktree isolation per service
Configurable concurrency limit
Collect all results (continue on individual failures)

Auto Mode (Default)

Analyze dependency graph
Use cascade for services with sequential dependencies
Use parallel for independent service groups
Hybrid: cascade between groups, parallel within groups

PM2 Management

Generate ecosystem.config.js from service manifest
Configure per service: name, script, cwd, env, instances
Start in topological order with health check gates
Log rotation and restart policies
Status monitoring: online, stopped, errored

Cross-Service Testing

API contract verification (request/response schemas)
Event bus message flow testing
Shared state consistency checks
Authentication across service boundaries
Circuit breaker behavior validation

Health Monitoring

Health check endpoint polling
PM2 process status monitoring
Resource usage tracking (CPU, memory)
Log file error pattern detection
Inter-service connectivity verification

When to Use

Multi-package monorepo development
Microservice orchestration
Full-stack application management
CI/CD pipeline for multi-service deployments

Agents Used

architect (service discovery and dependency mapping)
build-resolver (individual service builds)
e2e-runner (cross-service integration testing)

Illustrative Want to see what a5c-ai/multi-service-orchestration would put in front of your model? Preview the rendered body and check its trigger phrases — no LLM call, no signup.

Latest benchmark · publisher runVerified

7/31/2026, 23:21 UTC · 22 cases

Lift

+27%

27% vs 0%

Agent turns

0%

1.0 vs 1.0

Tokens

-3%

2,025.91 vs 2,091.27

fail → pass · 6fail → fail · 16

Per-case results (22)

Case	Status	Duration (ms)			Turns			Tokens			Tool calls
Case	Status	Without	With	Δ	Without	With	Δ	Without	With	Δ	Without	With	Δ
case-01 I have a monorepo containing several microservices under the apps/ directory. Please inspect my setup, figure out how the services depend on each other, and generate a PM2 ecosystem configuration so I can bring up the stack without hitting missing dependency errors.	fail→fail	13,677	2,906	-79%	1	1	0%	2,714	892	-67%	0	0	—
case-02 We just split our monolith into four separate backend services. I need a comprehensive integration plan to verify cross-service interactions, including API schema compliance, event bus messaging, shared authentication, and overall endpoint health.	fail→fail	21,942	17,936	-18%	1	1	0%	3,276	4,042	+23%	0	0	—
case-03 We are organizing our Node.js workspace containing multiple backend components. Instead of hardcoding paths in a custom runner script, which standard service root folders should an automated orchestrator scan to locate all microservices?	fail→fail	10,664	5,850	-45%	1	1	0%	1,951	1,407	-28%	0	0	—
case-04 When launching eight interdependent services in a workspace, manually assigning hardcoded delay timers often causes launch failures. What mathematical ordering strategy should be used to sequence startup and detect unresolvable cyclic relationships?	fail→fail	10,938	14,999	+37%	1	1	0%	1,872	3,036	+62%	0	0	—
case-05 We need an orchestration run strategy for our local environment where some services strictly depend on core APIs while other services are completely standalone. Should we force all services into strict sequential ordering or run everything in parallel?	fail→pass	11,938	9,863	-17%	1	1	0%	2,011	2,071	+3%	0	0	—
case-06 During a sequential cascade launch across four chained services, service B fails to pass its readiness probe. Should the orchestrator proceed with launching services C and D while reporting the error later?	fail→fail	11,058	3,526	-68%	1	1	0%	1,764	1,006	-43%	0	0	—
case-07 We need to run ten completely decoupled worker microservices concurrently in local development without source control branch interference between concurrent tasks. What mode and isolation feature should be configured?	fail→pass	8,655	2,977	-66%	1	1	0%	1,406	854	-39%	0	0	—
case-08 After updating a single low-level utility service in a multi-service workspace, do we need to cold-restart all upstream healthy services that were untouched and are already passing readiness checks?	fail→fail	11,314	8,850	-22%	1	1	0%	1,901	1,871	-2%	0	0	—
case-09 When generating a process supervisor manifest file for multi-service execution, what core per-service configuration fields must be specified for each entry?	fail→pass	10,442	5,700	-45%	1	1	0%	1,947	1,384	-29%	0	0	—
case-10 When auditing managed service runtime health under process supervision, what standard operational states must be tracked by the monitoring system?	fail→fail	13,863	12,251	-12%	1	1	0%	2,597	2,561	-1%	0	0	—
case-11 In a distributed backend suite, verifying HTTP status codes is insufficient during network degradation. What dynamic resilience pattern test should be performed across service boundaries?	fail→fail	13,087	11,160	-15%	1	1	0%	2,097	2,124	+1%	0	0	—
case-12 What verification approach should be used in integration test suites to confirm asynchronous publish-subscribe message interactions across independent services?	fail→fail	15,217	11,782	-23%	1	1	0%	2,568	2,472	-4%	0	0	—
case-13 If a service process is running and its HTTP port responds with 200 OK, how can an orchestrator detect silent background runtime crashes or memory leaks?	fail→pass	16,567	12,256	-26%	1	1	0%	2,778	2,596	-7%	0	0	—
case-14 A microservice container starts successfully but cannot communicate with neighboring services due to DNS misconfiguration. What specific health check layer identifies this network fault?	fail→fail	7,324	8,998	+23%	1	1	0%	1,184	1,873	+58%	0	0	—
case-15 In an agentic workspace workflow, which dedicated agent role handles service discovery and dependency graph mapping?	fail→pass	6,597	1,328	-80%	1	1	0%	1,062	559	-47%	0	0	—
case-16 Which specialized agent role should be assigned to compile source files and resolve local package builds for individual microservices?	fail→fail	6,451	1,769	-73%	1	1	0%	1,092	647	-41%	0	0	—
case-17 Which specialized agent role is tasked with executing cross-service contract verification and end-to-end scenario validation across the running stack?	fail→pass	5,347	2,322	-57%	1	1	0%	970	758	-22%	0	0	—
case-18 To prevent node processes from filling host disks with stdout logs or burning CPU during unhandled exception loops, what supervisory controls must be configured?	fail→fail	17,244	16,426	-5%	1	1	0%	2,995	3,477	+16%	0	0	—
case-19 Our repository contains individual services using pnpm, npm, and yarn in separate directories. How should an orchestrator determine which tool to execute for each service?	fail→fail	12,746	13,334	+5%	1	1	0%	2,568	3,098	+21%	0	0	—
case-20 I am writing a Dockerfile for a single standalone Express API service. How should I structure a multi-stage Dockerfile to minimize image size?	fail→fail	12,232	10,822	-12%	1	1	0%	2,327	2,473	+6%	0	0	—
case-21 I need to construct a Helm values.yaml file for deploying an application to a Kubernetes cluster with ingress controllers. What standard top-level keys belong in values.yaml?	fail→fail	13,854	13,559	-2%	1	1	0%	2,350	3,102	+32%	0	0	—
case-22 We need to write a PostgreSQL migration script to add a non-null column with a default value to a high-traffic table without locking reads. What SQL syntax should be used?	fail→fail	14,170	10,662	-25%	1	1	0%	2,578	2,267	-12%	0	0	—

These cases were also screened by the skill’s intent / safety pass.See the Trust review ↗Reproduce this benchmark in Colab ↗

How this skill was measured

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 +27 percentage points is the difference between those two pass rates over the 22 comparable cases.

Model measured: gemini-3.6-flash
Graded by: gemini-3.6-flash
Grading method: judged
Verification: verified
Pass rate without the skill: 0%
Pass rate with the skill: 27.3%
Cases attempted: 22
Cases counted toward lift: 22
Cases that regressed: 0
Skill version measured: v1
Run completed: 7/31/2026, 23:21 UTC

Measured example — same prompt, with vs. without the skill · from the benchmark run · case case-05

Prompt

We need an orchestration run strategy for our local environment where some services strictly depend on core APIs while other services are completely standalone. Should we force all services into strict sequential ordering or run everything in parallel?

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.

Show both answers

SkillScore blends 4 signals1 of 4 complete

BenchmarkPass rate WITH skill on a verified run27

Live evalNeeds ≥10 evaluated traces in 30 days

AI ratingNeeds ≥10 rated traces

AdoptionNeeds ≥10 serves across ≥2 orgs in 30 days

Backed by 1 of 4 signals — each added signal makes the score more robust.

Verified on gemini-3.6-flash · re-tested 54 days ago

Other measured skills in the registry, with their headline benchmark lift.