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Systematic Debugging Methodology

systematic-debugging

jnMetaCode/superpowers-zh

This skill provides a structured approach to debugging software issues by prioritizing root cause analysis over quick fixes. It guides users through four phases: investigation, pattern analysis, hypothesis verification, and implementation. Essential for resolving test failures, production bugs, and performance issues efficiently, preventing recurring problems and architectural debt.

Astropy Astronomy Data Analysis Library

K-Dense-AI/scientific-agent-skills

Astropy is a core Python library for astronomy and astrophysics workflows. It provides essential functionality for astronomical research and data analysis, including coordinate transformations, unit and quantity calculations, FITS file operations, cosmological calculations, precise time handling, tabular data manipulation, and astronomical image processing. Use it for implementing or debugging astronomical data analysis code.

LatchBio Workflow Integration

latchbio-integration

K-Dense-AI/scientific-agent-skills

Build, register, debug, and operate bioinformatics workflows on Latch using the Python SDK, CLI, Nextflow, Snakemake, Latch Data, Registry, and MCP. Covers resource configuration, data management, UI forms, and run monitoring.

Debugging Qdrant Performance Issues

qdrant-monitoring-debugging

github/awesome-copilot

A comprehensive guide for diagnosing production performance issues in Qdrant vector databases. Learn how to systematically check the optimizer status, analyze high memory usage (OOM crashes), and troubleshoot slow query latencies using key metrics and dedicated API endpoints. Essential for maintaining optimal operational health.

Adobe API Debug Bundle Collector

adobe-debug-bundle

jeremylongshore/claude-code-plugins-plus-skills

This utility script is designed to collect comprehensive diagnostic evidence for Adobe API integrations. It gathers crucial details such as installed SDK versions, credential validation status, API endpoint connectivity checks, and environment variables, all packaged into a single, redacted archive for efficient troubleshooting and support ticket submission.

Collect Alchemy Debug Bundle

alchemy-debug-bundle

jeremylongshore/claude-code-plugins-plus-skills

This tool generates a comprehensive debug bundle for troubleshooting Alchemy SDK issues. It collects crucial diagnostic evidence, including connectivity tests for core, enhanced, and NFT APIs, network status across multiple chains (Ethereum, Polygon, Arbitrum), SDK version, and environment details. Use it when encountering complex blockchain query failures or preparing detailed support tickets for reliable issue resolution.

Algolia Debug Bundle Generator

algolia-debug-bundle

jeremylongshore/claude-code-plugins-plus-skills

This utility collects comprehensive diagnostic evidence for Algolia support tickets or internal troubleshooting. It gathers index statistics, API key access control lists (ACLs), recent query logs, and network diagnostic information using API endpoints and shell scripting. Use it when diagnosing search performance or unexpected service behavior.

Anima Debug Bundle Generator

anima-debug-bundle

jeremylongshore/claude-code-plugins-plus-skills

This utility generates a comprehensive JSON debug bundle for troubleshooting and support requests related to the Anima SDK. It collects vital information, including environment details, Figma API connectivity status, and verifies the Anima SDK generation capabilities. Use it when filing support tickets or debugging code generation issues.

Advanced Anthropic API Debugging Guide

anth-advanced-troubleshooting

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for developers encountering complex issues with the Claude API, including context window overflow management, debugging tool use failures, handling streaming corruption, and diagnosing unexpected stop reasons. Provides Python code snippets and diagnostic commands to ensure robust AI integration.

Anthropic API Anti-Patterns Guide

anth-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide detailing common pitfalls and anti-patterns encountered when integrating with the Anthropic Claude API. It highlights crucial differences from other models (e.g., OpenAI), such as the mandatory nature of `max_tokens`, correct handling of system prompts, and precise response parsing techniques. Essential for developers debugging subtle API integration issues and ensuring best practices.

Apify Debug Bundle for Troubleshooting Runs

apify-debug-bundle

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive tool designed to collect all diagnostic evidence for troubleshooting failed or problematic Apify Actor runs. This bundle gathers run metadata, detailed logs, dataset samples, usage statistics, and environment information, making it essential for preparing detailed support tickets or performing in-depth debugging.

Debugging Bright Data Errors And Solutions

brightdata-common-errors

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive diagnostic reference for common Bright Data proxy and API errors, including 407, 502, SSL Certificate errors, and rate limit issues. This guide provides specific causes, detailed fixes, and command-line solutions (cURL, Python, JavaScript) to ensure uninterrupted web scraping and API integration.

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