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Resource Balancer — Multi-Cloud Enterprise Automation · lloydchang | DecimalAI

devopsby lloydchang

Resource Balancer — Multi-Cloud Enterprise Automation

lloydchang/balance-resources

Source lloydchang/agentic-reconciliation-engine ↗License AGPL-3.0

Balances resource allocation and usage across multi-cloud environments for optimal performance and cost.

SkillScore86Maintained

Automatic

DevOps & SRE pack

Last verified 8/4/2026

What it changes

Passed 19 of 22 test cases with the skill, and 7 of 22 without it.

Without skill32%

With skill86%

Checks it passed that the model alone missed

Sets cloudProvider to gcp
Indicates that dryRun defaults to true
Defaults the cloud provider parameter to all

and 11 more in the full report

12 fixed7 passed either way3 still failing0 broke

Pass-rate lift: +55 pp
Tokens: +1%
Agent turns: 0%
Response time: -52%

Model gemini-3.6-flashMeasured 8/4/2026v119 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/lloydchang-balance-resources/SKILL.md https://app.decimal.ai/s/lloydchang-balance-resources/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add lloydchang-balance-resources, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

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

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/lloydchang-balance-resources/ and pins it in .decimal/skills.lock

decimalai skills add lloydchang-balance-resources

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

curl -fsSL --create-dirs -o .claude/skills/lloydchang-balance-resources/SKILL.md https://app.decimal.ai/s/lloydchang-balance-resources/SKILL.md

Raw file: /s/lloydchang-balance-resources/SKILL.md ↗ · machine-readable summary at /s/lloydchang-balance-resources.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 12

Prompt

If no target environment is specified when invoking the balancing tool, which environment tier is targeted by default?

What was checked, without and with the skill
Checked	Without skill	With skill
Defaults the environment parameter to production	Missed	Passed

case-16 · gemini-3.6-flash · 8/4/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md77 linessingle file

Resource Balancer — Multi-Cloud Enterprise Automation

Purpose

Enterprise-grade automation solution for resource balancer operations across AWS, Azure, GCP, and on-premise environments to maximize operational efficiency while maintaining security and compliance standards.

When to Use

resource balancer operations across multi-cloud environments
Automation and optimization of resource balancer workflows
Monitoring and management of resource balancer resources
Compliance and governance for resource balancer activities

Inputs

operation: Operation type (required)
targetResource: Target resource identifier (required)
cloudProvider: Cloud provider - aws|azure|gcp|onprem|all (optional, default: all)
parameters: Operation-specific parameters (optional)
environment: Target environment (optional, default: production)
dryRun: Dry run mode (optional, default: true)

Process

Cloud Provider Detection: Identify target cloud providers and environments
Input Validation: Comprehensive parameter validation and security checks
Multi-Cloud Context Analysis: Analyze current state across all providers
Operation Planning: Generate optimized execution plan
Safety Assessment: Risk analysis and impact evaluation across providers
Execution: Perform operations with monitoring and validation
Results Analysis: Process results and generate reports

Outputs

Operation Results: Detailed execution results and status per provider
Compliance Reports: Validation and compliance status across environments
Performance Metrics: Operation performance and efficiency metrics by provider
Recommendations: Optimization suggestions and next steps
Audit Trail: Complete operation history for compliance across all providers

Environment

AWS: EKS, EC2, Lambda, CloudWatch, IAM, S3
Azure: AKS, VMs, Functions, Monitor, Azure AD
GCP: GKE, Compute Engine, Cloud Functions, Cloud Monitoring
On-Premise: Kubernetes clusters, VMware, OpenStack, Prometheus

Track record

Benchmark

19 / 22

test cases passed, vs 7 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/1/2026

View 15 scanner checks

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

lloydchang / agentic-reconciliation-engine

core/ai/skills/balance-resources/SKILL.md

View on GitHub ↗

License AGPLv3Imported 8/1/2026Version v1

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See it in action

What's inside

Resource Balancer — Multi-Cloud Enterprise Automation

Purpose

When to Use

Inputs

Process

Outputs

Environment

Track record

Benchmark

Adoption

SkillSafety

Source

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