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Systematic Software Bug Debugging Guide

sickn33/agentic-awesome-skills

This comprehensive skill guides users through the entire debugging lifecycle, from reproducing elusive bugs to tracing the root cause, implementing permanent fixes, and preventing future regressions. It covers advanced techniques like binary search, time travel debugging, and handling common patterns such as race conditions and null values, ensuring professional and systematic troubleshooting for any production issue.

Cloudflare R2 Object Storage

sickn33/agentic-awesome-skills

Manage Cloudflare R2 buckets, objects, lifecycle rules and signed URLs. Covers Wrangler CLI, S3-compatible API access with AWS CLI and boto3, plus Worker bindings for zero-egress media delivery and static asset hosting.

Debugging Workflow For Complex Bugs

diagnosing-bugs

sickn33/agentic-awesome-skills

This skill outlines a systematic, multi-phase workflow for diagnosing hard bugs and performance regressions in complex codebases. It emphasizes the critical necessity of building a tight, deterministic feedback loop (Phase 1) before moving to hypothesis generation. The process guides users through reproducing the failure, minimizing the scope of the issue, and forming actionable, ranked hypotheses.

End-to-End Testing Patterns

e2e-testing-patterns

sickn33/agentic-awesome-skills

Build reliable and maintainable end-to-end test suites to ensure code quality, catch regressions early, and validate critical user workflows across browsers and environments. Ideal for CI/CD pipelines and automation strategies.

EAS Update Health Insights

eas-update-insights

sickn33/agentic-awesome-skills

This skill allows developers to query the health metrics of published EAS Updates directly from the command line. It provides data on crash rates, install counts, unique users, payload sizes, and the split between embedded and OTA users per channel. Useful for post-publish rollout monitoring and regression detection.

Security Fix Commit Review

sickn33/agentic-awesome-skills

Verify that fix commits properly address audit findings without introducing new bugs or security vulnerabilities. Use it to review security remediation commits, confirm root-cause fixes, check for regressions, and validate completeness.

Laravel Development Workflow

laravel-development-workflow

sickn33/agentic-awesome-skills

This workflow guides developers to build and fix existing Laravel applications effectively. It emphasizes root-cause diagnosis, repository-native implementation, regression coverage, and risk-based verification. Suitable for feature implementation, bug fixing, and maintaining architectural conventions within established codebases.

LLM Prompt Optimization

llm-application-dev-prompt-optimize

sickn33/agentic-awesome-skills

Improve LLM prompts using task-specific evaluation, structured instructions, chain-of-thought reasoning, and regression checks for production-ready AI applications.

Master LLM Evaluation Strategies

sickn33/agentic-awesome-skills

Master comprehensive evaluation strategies for LLM applications, covering automated metrics like BLEU and ROUGE, human evaluation dimensions, and LLM-as-Judge patterns. This skill helps measure performance, compare models, detect regressions, and validate prompt improvements. Includes Python implementation examples for metrics and evaluation suites.

Monte Carlo Performance Diagnosis

monte-carlo-performance-diagnosis

sickn33/agentic-awesome-skills

Diagnoses data pipeline performance issues such as slow jobs, expensive queries, and latency trends using Monte Carlo's cross-platform observability. Works across Airflow, dbt, Databricks, and warehouse query engines to find bottlenecks, detect regressions, and identify root causes.

Postgres Egress Optimizer

neon-postgres-egress-optimizer

sickn33/agentic-awesome-skills

Diagnose and fix excessive Postgres egress (network data transfer) in a codebase. Use when users report high database bills, unexpected data transfer costs, egress spikes, or queries fetching more data than needed. Provides SQL diagnostics via pg_stat_statements and code-level fixes for common anti-patterns like SELECT *, missing pagination, and high-frequency static queries.

Phase-Gated Debugging

phase-gated-debugging

sickn33/agentic-awesome-skills

Enforces a strict 5-phase debugging protocol (Reproduce, Isolate, Root Cause, Fix, Verify) to prevent premature code edits. Ideal for intermittent, regression, or performance bugs where disciplined root-cause analysis is required before applying fixes.

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