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Performance Optimization — Multi-Cloud Enterprise Automation with AI · lloydchang | DecimalAI

devopsby lloydchang

Performance Optimization — Multi-Cloud Enterprise Automation with AI

lloydchang/optimize-performance

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

AI-powered performance optimization skill for multi-cloud environments with predictive analytics, ML-based recommendations, and automated optimization.

SkillScore95Maintained

Automatic

DevOps & SRE pack

Last verified 8/4/2026

What it changes

Passed 21 of 22 test cases with the skill, and 8 of 22 without it.

Without skill36%

With skill95%

Checks it passed that the model alone missed

Sets optimizationType to caching
Sets optimizationType to network
Sets optimizationType to database

and 12 more in the full report

13 fixed8 passed either way1 still failing0 broke

Pass-rate lift: +59 pp
Tokens: +21%
Agent turns: 0%
Response time: -40%

Model gemini-3.6-flashMeasured 8/4/2026v121 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-optimize-performance/SKILL.md https://app.decimal.ai/s/lloydchang-optimize-performance/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add lloydchang-optimize-performance, 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-optimize-performance/ and pins it in .decimal/skills.lock

decimalai skills add lloydchang-optimize-performance

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

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

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

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 13

Prompt

We need to rebalance traffic distribution protocols across our ingress controllers. Which valid optimizationType string corresponds to this task?

What was checked, without and with the skill
Checked	Without skill	With skill
Sets optimizationType to load_balancing	Missed	Passed

case-18 · 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.md93 lines4 filesincludes scripts

Performance Optimization — Multi-Cloud Enterprise Automation with AI

Purpose

Enterprise-grade automation solution for performance optimization across AWS, Azure, GCP, and on-premise environments with advanced AI capabilities including predictive analytics, machine learning-based optimization recommendations, and automated performance tuning to maximize operational efficiency while maintaining security and compliance standards.

When to Use

performance optimization operations across multi-cloud environments
AI-powered performance analysis including predictive scaling and ML recommendations
Automated optimization of application and infrastructure performance
Monitoring and management of performance metrics and bottlenecks
Compliance and governance for performance optimization activities
Predictive performance analytics using historical data and ML models

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 including AI model configurations (optional)
environment: Target environment (optional, default: production)
dryRun: Dry run mode (optional, default: true)
historicalData: Include historical performance data for predictive analysis (optional, default: false)
optimizationType: Type of optimization - scaling|right_sizing|caching|load_balancing|database|network|application|infrastructure (optional)

Process

Cloud Provider Detection: Identify target cloud providers and environments
Input Validation: Comprehensive parameter validation and security checks
Multi-Cloud Context Analysis: Analyze current performance state across all providers
AI-Powered Performance Analysis: Apply predictive analytics, ML-based bottleneck detection, and optimization modeling
Optimization Planning: Generate AI-enhanced optimization recommendations with risk assessment
Safety Assessment: Risk analysis and impact evaluation across providers
Execution: Perform optimizations with monitoring and validation
Results Analysis: Process results and generate AI-enhanced performance reports

Outputs

Operation Results: Detailed execution results and status per provider
AI-Enhanced Recommendations: ML-generated optimization recommendations with predictive insights
Performance Analysis: Comprehensive performance metrics and bottleneck identification
Predictive Forecasts: Future performance predictions and capacity planning insights
Compliance Reports: Validation and compliance status across environments
Performance Metrics: Operation performance and efficiency metrics by provider

Track record

Benchmark

21 / 22

test cases passed, vs 8 / 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/optimize-performance/SKILL.md

View on GitHub ↗

License AGPLv3Imported 8/1/2026Version v1Bundled 3 files · scripts

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See it in action

What's inside

Performance Optimization — Multi-Cloud Enterprise Automation with AI

Purpose

When to Use

Inputs

Process

Outputs

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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