agentic-optimization Skill
Analyze AI agent telemetry from Application Insights, including anomaly detection, trend analysis, and performance statistics. Use this when asked to analyze AI agent performance, detect anomalies in agent telemetry, or review agent trace data. Published by microsoft in code-optimizations-skills.
Decision snapshot
Is this a fit?
Data analysis, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
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Copy skill directory
3 months ago · MIT license
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What is agentic-optimization Skill?
Analyze AI agent telemetry from Application Insights, including anomaly detection, trend analysis, and performance statistics. Use this when asked to analyze AI agent performance, detect anomalies in agent telemetry, or review agent trace data. Published by microsoft in code-optimizations-skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Source file: skills/agentic-optimization/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use agentic-optimization Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/code-optimizations-skills
- Skill file: skills/agentic-optimization/SKILL.md
What it does
Analyze AI agent telemetry from Application Insights, including anomaly detection, trend analysis, and performance statistics. Use this when asked to analyze AI agent performance, detect anomalies in agent telemetry, or review agent trace data.
Skill instructions
Agentic Optimization This skill analyzes AI agent telemetry traces from Application Insights using the aira.exe CLI tool. It performs anomaly detection, trend analysis, and generates performance statistics to help identify issues in AI agent behavior. Prerequisites - The user must be logged in to Azure CLI (az login) - The user must provide Application Insights resource details: Subscription ID, Resource Group, and Component Name Steps 1–2. Check investigation notes and gather inputs Follow the Standard Skill Preamble to check for existing investigation context and gather inputs. In addition to the standard App ID, this skill requires the following Application Insights identity fields: - Subscription ID: Azure subscription GUID - Resource Group: Resource group containing the Application Insights resource - Component Name: The Application Insights component name (resource name) These are typically available in investigation-notes.md. If only a Resource ID is available, parse the subscri
Verified compatibility and discovery
Frequently asked questions
What is agentic-optimization?
agentic-optimization is a open-source AI agent skill with Copy skill directory. Analyze AI agent telemetry from Application Insights, including anomaly detection, trend analysis, and performance statistics.
Who is agentic-optimization best for?
agentic-optimization is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install agentic-optimization?
Install or run agentic-optimization using Copy skill directory. Check agentic-optimization for the latest setup command.
Is agentic-optimization actively maintained?
agentic-optimization may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
