maf-tracing Skill
Enable tracing and logging for Microsoft Agent Framework (MAF) workflows. Configures OpenTelemetry export to Azure Application Insights and/or a generic OTLP endpoint using environment variables. Adds required packages to requirements.txt. WHEN: enable tracing, add tracing, enable logging, add logging, configure teleme Published by microsoft in promptflow.
Decision snapshot
Is this a fit?
Developers using promptflow, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
2 months ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
What is maf-tracing Skill?
Enable tracing and logging for Microsoft Agent Framework (MAF) workflows. Configures OpenTelemetry export to Azure Application Insights and/or a generic OTLP endpoint using environment variables. Adds required packages to requirements.txt. WHEN: enable tracing, add tracing, enable logging, add logging, configure teleme Published by microsoft in promptflow. 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
- Developers using promptflow
Declared skill metadata
- Declared author: Team
- Declared license: MIT
- Source file: .github/skills/maf-tracing/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 maf-tracing Skill
- Use it for developers using promptflow.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/promptflow
- Skill file: .github/skills/maf-tracing/SKILL.md
What it does
Enable tracing and logging for Microsoft Agent Framework (MAF) workflows. Configures OpenTelemetry export to Azure Application Insights and/or a generic OTLP endpoint using environment variables. Adds required packages to requirements.txt. WHEN: enable tracing, add tracing, enable logging, add logging, configure teleme
Skill instructions
Enable Tracing & Logging for MAF Workflows Configure OpenTelemetry-based tracing for Microsoft Agent Framework workflows, exporting to Azure Application Insights and/or a generic OTLP endpoint. Triggers Activate this skill when the user wants to: - Enable tracing or logging for a MAF workflow - Export telemetry to Azure Application Insights - Export traces to an OTLP-compatible endpoint (Jaeger, Zipkin, Grafana Tempo, etc.) - Add observability or monitoring to an agent-framework project - Debug or inspect executor/agent/LLM spans in a MAF workflow Background MAF automatically emits OpenTelemetry spans for every executor invocation, agent call, and LLM request. No instrumentation changes are needed inside Executor classes. You only need to: 1. Configure an exporter — where spans are sent (Application Insights, OTLP endpoint, or both) 2. Call configureotelproviders() — activates MAF's built-in instrumentation This must happen once at application startup, before any workflow.run() calls.
Verified compatibility and discovery
Frequently asked questions
What is maf-tracing?
maf-tracing is a open-source AI agent skill with Copy skill directory. Enable tracing and logging for Microsoft Agent Framework (MAF) workflows. Configures OpenTelemetry export to Azure Application Insights and/or a generic OTLP endpoint using environment variables.
Who is maf-tracing best for?
maf-tracing is best for reusing agent instructions, scripts, and references.
How do I install maf-tracing?
Install or run maf-tracing using Copy skill directory. Check maf-tracing for the latest setup command.
Is maf-tracing actively maintained?
maf-tracing 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.
