PostHogofficial

error-tracking-python

PostHog/skills · updated Apr 10, 2026

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$npx skills add https://github.com/PostHog/skills --skill error-tracking-python
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summary

### PostHog Python Error Tracking

  • Initialize the Posthog client with enable_exception_autocapture=True and use instance-based constructors instead of module-level config.
  • Protect user privacy by excluding PII from capture() event properties, using set() or identify_context() for person-related data instead.
  • Ensure reliable event delivery by registering posthog_client.shutdown with atexit and using environment variables for sensitive keys.
skill.md
name
error-tracking-python
description
PostHog error tracking for Python
metadata
author: PostHog version: 1.9.4

PostHog error tracking for Python

This skill helps you add PostHog error tracking to Python applications.

Reference files

  • references/python.md - Python error tracking installation - docs
  • references/fingerprints.md - Fingerprints - docs
  • references/alerts.md - Send error tracking alerts - docs
  • references/monitoring.md - Monitor and search issues - docs
  • references/assigning-issues.md - Assign issues to teammates - docs
  • references/upload-source-maps.md - Upload source maps - docs

Consult the documentation for API details and framework-specific patterns.

Key principles

  • Environment variables: Always use environment variables for PostHog keys and host URLs. Never hardcode them.
  • Minimal changes: Add error tracking alongside existing error handling. Don't replace or restructure existing error handling code.
  • Autocapture first: Enable exception autocapture in the SDK initialization before adding manual captures.
  • Source maps: Upload source maps so stack traces resolve to original source code, not minified bundles.
  • Manual capture for boundaries: Use captureException() at error boundaries and catch blocks for errors that don't propagate to the global handler.

Framework guidelines

  • Remember that source code is available in the venv/site-packages directory
  • posthog is the Python SDK package name
  • Install dependencies with pip install posthog or pip install -r requirements.txt and do NOT use unquoted version specifiers like >= directly in shell commands
  • In CLIs and scripts: MUST call posthog.shutdown() before exit or all events are lost
  • Always use the Posthog() class constructor (instance-based API) instead of module-level posthog.api_key config
  • Always include enable_exception_autocapture=True in the Posthog() constructor to automatically track exceptions
  • NEVER send PII in capture() event properties — no emails, full names, phone numbers, physical addresses, IP addresses, or user-generated content
  • PII belongs in identify() person properties, NOT in capture() event properties. Safe event properties are metadata like message_length, form_type, boolean flags.
  • Register posthog_client.shutdown with atexit.register() to ensure all events are flushed on exit
  • The Python SDK has NO identify() method — use posthog_client.set(distinct_id=user_id, properties={...}) to set person properties, or use identify_context(user_id) within a context
how to use error-tracking-python

How to use error-tracking-python on Cursor

AI-first code editor with Composer

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 error-tracking-python
2

Execute installation command

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

$npx skills add https://github.com/PostHog/skills --skill error-tracking-python

The skills CLI fetches error-tracking-python from GitHub repository PostHog/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/error-tracking-python

Reload or restart Cursor to activate error-tracking-python. Access the skill through slash commands (e.g., /error-tracking-python) 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.

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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

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.575 reviews
  • Pratham Ware· Dec 24, 2024

    error-tracking-python fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Aditi Diallo· Dec 24, 2024

    error-tracking-python reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Mia Zhang· Dec 24, 2024

    error-tracking-python is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ama Harris· Dec 20, 2024

    error-tracking-python has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ama Huang· Dec 20, 2024

    error-tracking-python fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Meera Malhotra· Dec 16, 2024

    Registry listing for error-tracking-python matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Anaya Gupta· Dec 8, 2024

    We added error-tracking-python from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Noah Johnson· Nov 27, 2024

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

  • Sakshi Patil· Nov 15, 2024

    error-tracking-python is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Maya Tandon· Nov 15, 2024

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

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