observability
Observability Skill
Developer-focused observability: logging, debugging, profiling, and performance monitoring.
When This Skill Activates
- Adding logging to code
- Debugging errors or issues
- Profiling performance bottlenecks
- Analyzing memory usage
- Adding instrumentation
- Setting up structured logging
- Keywords: "logging", "debug", "profiling", "performance", "trace"
Structured Logging
Why Structured Logging?
More from akaszubski/anyclaude-local
testing-guide
Complete testing methodology - TDD, progression tracking, regression prevention, and test patterns
1git-workflow
Git best practices, commit conventions, branching strategies, and pull request workflows. Use when working with git operations, commits, branches, or PRs.
1python-standards
Python code quality standards (PEP 8, type hints, docstrings). Use when writing Python code.
1github-workflow
GitHub-first workflow - Issues, PRs, milestones, auto-tracking for solo developer productivity
1code-review
This skill should be used when reviewing code or preparing code for review. It provides guidelines for what to look for in reviews, how to write constructive feedback, and standards for review comments.
1database-design
Database schema design, migrations, query optimization, and ORM patterns. Use when designing database schemas, writing migrations, optimizing queries, or working with ORMs like SQLAlchemy or Django ORM.
1