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observability-edot-python-migrate▌

elastic/agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/elastic/agent-skills --skill observability-edot-python-migrate
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summary

Read the migration guide before making changes:

skill.md

EDOT Python Migration

Read the migration guide before making changes:

Guidelines

  1. Remove ALL classic APM references: elastic-apm from requirements, ElasticAPM(app) / elasticapm.contrib.* from application code, app.config['ELASTIC_APM'] blocks, and all ELASTIC_APM_* env vars
  2. Install elastic-opentelemetry via pip (add to requirements.txt or equivalent)
  3. Run edot-bootstrap --action=install during image build to install auto-instrumentation packages for detected libraries
  4. Wrap the application entrypoint with opentelemetry-instrument — e.g. opentelemetry-instrument gunicorn app:app. Without this, no telemetry is collected
  5. Set exactly three required environment variables:
    • OTEL_SERVICE_NAME (replaces ELASTIC_APM_SERVICE_NAME)
    • OTEL_EXPORTER_OTLP_ENDPOINT — must be the managed OTLP endpoint or EDOT Collector URL. Do NOT reuse the old ELASTIC_APM_SERVER_URL value. Never use an APM Server URL (no apm-server, no :8200, no /intake/v2/events)
    • OTEL_EXPORTER_OTLP_HEADERS — "Authorization=ApiKey <key>" or "Authorization=Bearer <token>" (replaces ELASTIC_APM_SECRET_TOKEN)
  6. Do NOT set OTEL_TRACES_EXPORTER, OTEL_METRICS_EXPORTER, or OTEL_LOGS_EXPORTER — the defaults are already correct
  7. Never run both classic elastic-apm and EDOT on the same application

Examples

See the EDOT Python migration guide for complete examples.

how to use observability-edot-python-migrate

How to use observability-edot-python-migrate on Cursor

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1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add observability-edot-python-migrate
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/elastic/agent-skills --skill observability-edot-python-migrate

The skills CLI fetches observability-edot-python-migrate from GitHub repository elastic/agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/observability-edot-python-migrate

Reload or restart Cursor to activate observability-edot-python-migrate. Access the skill through slash commands (e.g., /observability-edot-python-migrate) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

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Use Cases▌

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

✓

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

✓

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

✓

Improve work quality by 30-40% with less effort

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client with skill support
  • ›Clear understanding of task or problem to solve
  • ›Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • ⚠Expecting perfect results without iteration
  • ⚠Not providing enough context in prompts
  • ⚠Using skill for tasks outside its intended scope
  • ⚠Accepting outputs without review and validation

Best Practices▌

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • −Don't use without understanding skill limitations
  • −Don't skip validation of outputs
  • −Don't share sensitive information in prompts
  • −Don't expect skill to replace human judgment

💡 Pro Tips

  • ★Be specific about desired format and style
  • ★Ask for multiple options to choose from
  • ★Request explanations to understand reasoning
  • ★Combine AI efficiency with human expertise

When to Use This▌

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path▌

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

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general reviews

Ratings

4.7★★★★★61 reviews
  • ★★★★★Pratham Ware· Dec 28, 2024

    observability-edot-python-migrate has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Aanya Khanna· Dec 28, 2024

    Keeps context tight: observability-edot-python-migrate is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Kabir Harris· Dec 20, 2024

    observability-edot-python-migrate reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Tariq Desai· Dec 20, 2024

    I recommend observability-edot-python-migrate for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Mia Ndlovu· Dec 8, 2024

    Registry listing for observability-edot-python-migrate matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Zara Johnson· Nov 27, 2024

    Solid pick for teams standardizing on skills: observability-edot-python-migrate is focused, and the summary matches what you get after install.

  • ★★★★★Kabir Garcia· Nov 19, 2024

    observability-edot-python-migrate has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Ava Thomas· Nov 11, 2024

    observability-edot-python-migrate is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Zara Jackson· Nov 11, 2024

    Useful defaults in observability-edot-python-migrate — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Omar Gill· Nov 7, 2024

    observability-edot-python-migrate has been reliable in day-to-day use. Documentation quality is above average for community skills.

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