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Agent Skill

Azure Monitor Opentelemetry Py skill

azure-monitor-opentelemetry-pymicrosoft/skills.github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-py/SKILL.md

Azure Monitor OpenTelemetry Distro for Python. Use for one-line Application Insights setup with auto-instrumentation. Triggers: "azure-monitor-opentelemetry", "configure_azure_monitor", "Application Insights", "OpenTelemetry distro", "auto-instrumentation".

3.1kMIT

always on

62 tokname + description

once used

1,625 tokSKILL.md body

bundled files

26 KB

repo stars

3.1kGitHub

Install the Azure Monitor Opentelemetry Py skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/microsoft/skills --skill azure-monitor-opentelemetry-py

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/microsoft/skills.git /tmp/skills
mkdir -p ~/.claude/skills
cp -R /tmp/skills/.github/plugins/azure-sdk-python/skills/azure-monitor-opentelemetry-py ~/.claude/skills/azure-monitor-opentelemetry-py

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description62 tok
When the agent uses itThe SKILL.md instructions1,625 tok
Only if opened2 bundled files (6 KB)varies

Until it is used, azure-monitor-opentelemetry-py costs about 22× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 150 skills from microsoft/skills would load 10,823 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Azure Monitor OpenTelemetry Distro for Python
  • Installation
  • Environment Variables
  • Authentication & Lifecycle
  • Quick Start
  • Explicit Connection String
  • With Flask
  • With Django
  • With FastAPI
  • Custom Traces
  • Custom Metrics
  • Custom Logs
  • Sampling
  • Cloud Role Name
  • Disable Specific Instrumentations
  • Enable Live Metrics
  • Azure AD Authentication
  • Auto-Instrumentations Included
  • Configuration Options
  • Best Practices
  • Reference Files

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