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See it in action One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
Prompt Which Python time-series modeling library is utilized alongside Prophet for predictive scaling analysis in this automation setup?
What was checked, without and with the skill Checked Without skill With skill The pmdarima library is specified for predictive analysis.
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What's inside The instructions your model reads when the skill loads.
SKILL.md 92 lines 3 files includes scripts
Automated Scaling Policies — AI-Powered Multi-Cloud Enterprise Automation
Purpose
Enterprise-grade automation solution for automated scaling policies across AWS, Azure, GCP, and on-premise environments with advanced AI capabilities including intelligent resource optimization, predictive scaling decisions, and adaptive policy management to maximize operational efficiency while maintaining security and compliance standards.
When to Use
AI-powered automated scaling across multi-cloud environmentsPredictive scaling decisions and intelligent resource optimizationAdaptive policy management using ML and predictive analyticsProactive scaling monitoring with anomaly detectionResource optimization through AI-driven scaling policiesScaling automation with intelligent decision-makingCompliance and governance for automated scaling 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 including AI model configurations (optional)environment : Target environment (optional, default: production)dryRun : Dry run mode (optional, default: true)aiMode : Enable AI-powered analysis and recommendations (optional, default: true)
Process
Cloud Provider Detection : Identify target cloud providers and environmentsInput Validation : Comprehensive parameter validation and security checksAI-Powered Analysis : Apply ML algorithms for intelligent scaling analysisPredictive Planning : Generate optimized scaling plan with AI insightsRisk Assessment : AI-enhanced risk analysis and impact evaluationIntelligent Execution : Perform scaling operations with AI monitoring and validationResults Analysis : Process results and generate AI-enhanced reportsLearning Integration : Update AI models with operational outcomes
Outputs
AI-Enhanced Scaling Results : Detailed execution results with AI insightsPredictive Analytics : Scaling performance predictions and forecastsIntelligent Recommendations : AI-generated optimization suggestionsAnomaly Detection : Scaling anomalies and potential issuesResource Optimization : AI-powered scaling analysis and optimization opportunitiesCompliance Reports : Validation and compliance status with AI insights When it activates Automatically, when a task matches.
Use when implementing automated scaling with advanced AI capabilities for proactive resource management and cost optimization.
Track record Benchmark 21 / 22
test cases passed, vs 7 / 22 without
Adoption
Users 0
Times used 0 View activity → Safety and source details
SkillSafety ✓ 3 of 3 passed ✓ Code scan 15 of 15 checks clean
0 critical · 0 warning · 0 info — scanner v4 — 8/1/2026
View 15 scanner checks live_secret remote_code_execution reverse_shell data_exfiltration ssrf_metadata agent_snooping anti_refusal destructive_commands obfuscated_unicode unicode_homoglyph opaque_blob suspicious_url tool_overreach trigger_abuse prompt_injection_phrasing
✓ Intent Safe
LLM judge · does the skill do what it claims
✓ Content Clean
LLM judge · policy & harmful-content review
Source Imported lloydchang / agentic-reconciliation-engine
core/ai/skills/automated-scaling-policies/SKILL.md
View on GitHub ↗ License AGPLv3Imported 8/1/2026Version v1Bundled 2 files · scripts