cost-optimization

name	cost-optimization
description	Cost optimization skill. Review FinOps and optimization recommendations, analyze savings opportunities with multi-dimensional insights plus datasource-enriched resource context, risk assessment, and best practices guidance. Execute native day2 remediation and track remediation state.
provider_type	smartcmp
instance_required	true
triggers	["cost optimization","optimization recommendations","savings recommendations","resource usage analysis","finops","rightsize","execute optimization","费用优化","成本优化","优化建议","节省建议","降配","空闲资源","资源利用率","查看优化建议"]
use_when	["User wants to list optimization or FinOps recommendations","User wants to analyze cost optimization opportunities with detailed insights, resource context, and risk assessment","User wants to understand saving contribution and priority in global context","User wants to execute native remediation for an optimization finding","User wants to track cost optimization remediation progress"]
avoid_when	["User wants to provision new resources (use request skill)","User only wants standalone read-only resource browsing without optimization analysis (use datasource skill)","User wants approval workflow actions (use approval skill)"]
related	["datasource","approval"]
tool_list_name	smartcmp_list_cost_recommendations
tool_list_description	List SmartCMP cost optimization recommendations with optional related policy counts.
tool_list_entrypoint	scripts/list_recommendations.py
tool_list_groups	["cmp","finops"]
tool_list_capability_class	provider:smartcmp
tool_list_priority	100
tool_analyze_name	smartcmp_analyze_cost_recommendation
tool_analyze_description	Analyze one SmartCMP cost optimization recommendation with multi-dimensional insights, datasource-enriched resource context, risk assessment, saving priority, and best practice guidance.
tool_analyze_entrypoint	scripts/analyze_recommendation.py
tool_analyze_groups	["cmp","finops"]
tool_analyze_capability_class	provider:smartcmp
tool_analyze_priority	120
tool_execute_name	smartcmp_execute_cost_optimization
tool_execute_description	Execute SmartCMP-native day2 remediation for a violation.
tool_execute_entrypoint	scripts/execute_optimization.py
tool_execute_groups	["cmp","finops"]
tool_execute_capability_class	provider:smartcmp
tool_execute_priority	150
tool_track_name	smartcmp_track_cost_optimization
tool_track_description	Track SmartCMP cost optimization remediation execution.
tool_track_entrypoint	scripts/track_execution.py
tool_track_groups	["cmp","finops"]
tool_track_capability_class	provider:smartcmp
tool_track_priority	130

cost-optimization

Use this skill to work through cost optimization recommendations from discovery to remediation tracking.

Workflow

1. List recommendations with list_recommendations.py
   • Optional: --with-related-policies to show related policy counts
2. Analyze a recommendation with analyze_recommendation.py
   • Silently resolve the related resourceId through datasource ../datasource/scripts/list_resource.py
   • Merge normalized resource type + properties into the analysis facts
   • Returns multi-dimensional recommendations (P0/P1/P2 priority)
   • Includes risk assessment and best practice guidance
   • Shows saving contribution, policy history, and resource operational context
3. Execute a native day2 fix with execute_optimization.py
4. Track remediation state with track_execution.py

Analysis Output Enhancement

The analyze_recommendation.py now provides:

• P0 Primary Action: Core recommendation (execute_fix / configure_platform_policy / manual_review)
• P1 Risk Assessment: Risk level (high/medium/low) with specific warnings
• P1 Configuration Guide: When fixType is missing, explains how to configure day2 repair
• P1 Saving Priority: Contribution percentage to global optimizable amount
• P2 Policy History: Compliance rate trend and violation recurrence count
• Resource Context: Resource type, component type, status, OS, and normalized datasource facts

Safety Boundary

The skill only executes platform-native remediation through:

• POST /compliance-policies/violations/day2/fix/{id}

It does not call AWS or Azure APIs directly.

Resource Enrichment

This skill should internally reuse the datasource skill's shared ../datasource/scripts/list_resource.py helper whenever a recommendation includes resourceId.

• Pull resource details before rendering the final analysis output.
• Merge resource status/type/OS and normalized facts into facts and downstream recommendations.
• If resource lookup is unavailable, continue with policy/violation analysis as a best-effort degradation path.