peeka-diagnostics
CommunityNon-invasively diagnose live Python apps.
Authorwwulfric
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Diagnosing live Python applications non-invasively to identify slowdowns, memory leaks, thread contention, and misbehavior without requiring code changes.
Core Features & Use Cases
- Non-invasive runtime diagnostics via peeka-cli for live Python processes.
- Observability commands such as watch, trace, stack, memory, and thread to inspect behavior and performance.
- Guided workflows with environment detection, permission checks, and diagnostic playbooks to reproduce issues safely.
Quick Start
Install peeka-cli for Python 3.8+ and attach to a running process with peeka-cli attach <pid>, then begin observations with a simple watch command such as peeka-cli watch 'module.func' -n 5.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: peeka-diagnostics Download link: https://github.com/wwulfric/peeka/archive/main.zip#peeka-diagnostics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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