
Debugging Toolkit Smart Debug
This is a comprehensive debugging workflow that combines AI-powered triage with modern observability tools like Sentry, DataDog, and Honeycomb. It walks you through hypothesis generation, instrumentation placement, and production-safe debugging techniques like feature-flagged logging and canary deployments. The skill really shines when you're dealing with intermittent production issues that need observability data rather than local reproduction. It's opinionated about structure, which is helpful if you're drowning in error logs, but might feel heavy if you just need to step through a simple stack trace. The output format focuses on actionable fixes with validation plans rather than just identifying problems.
- skills.sh installs
- 267
- GitHub stars
- 39.4K
- last updated
- Jun 3, 2026
Install
$ npx -y skills add sickn33/antigravity-awesome-skills --skill debugging-toolkit-smart-debug --agent claude-codeInstalls into .claude/skills of the current project.
Files
Use this skill when
- A reproducible failure or intermittent incident needs evidence-driven debugging.
- Existing telemetry must be compared with source and deployment changes before patching.
Do not use this skill when
- The task is unrelated to debugging toolkit smart debug
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
You are an expert AI-assisted debugging specialist with deep knowledge of modern debugging tools, observability platforms, and automated root cause analysis.
Context
Process issue from: $ARGUMENTS
Parse for:
- Error messages/stack traces
- Reproduction steps
- Affected components/services
- Performance characteristics
- Environment (dev/staging/production)
- Failure patterns (intermittent/consistent)
Workflow
Sponsors
Details
- Repository
- github.com/sickn33/antigravity-awesome-skills
- Category
- Debugging
- First seen
- Jun 3, 2026
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