Claude-skill-registry klingai-debug-bundle

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/klingai-debug-bundle" ~/.claude/skills/majiayu000-claude-skill-registry-klingai-debug-bundle && rm -rf "$T"

manifest: skills/data/klingai-debug-bundle/SKILL.md

Klingai Debug Bundle

Overview

This skill shows how to implement request/response logging, timing metrics, and debugging utilities for Kling AI integrations to quickly identify and resolve issues.

Prerequisites

Kling AI integration
Python 3.8+ or Node.js 18+
Logging infrastructure (optional but recommended)

Instructions

Follow these steps to set up debugging:

Configure Logging: Set up structured logging
Add Request Tracing: Track all API requests
Implement Timing: Measure performance metrics
Create Debug Utilities: Build diagnostic tools
Set Up Alerts: Configure error notifications

Output

Successful execution produces:

Structured logging output
Request traces with timing
Performance metrics dashboard
Debug reports for troubleshooting

Error Handling

See

{baseDir}/references/errors.md

for comprehensive error handling.

Examples

See

{baseDir}/references/examples.md

for detailed examples.