debugging AI Agent Skills
Browse 34 skills related to debugging
langsmith-observability
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.
trulens-instrumentation
Instrument LLM apps with TruLens OTEL-based tracing - from setup to debugging and optimization
ralph-operations
Use when managing Ralph orchestration loops, analyzing diagnostic data, debugging hat selection, investigating backpressure, or performing post-mortem analysis
Root Cause Analysis
Systematic approach to finding the true source of bugs, not just symptoms
Trace and Isolate
Techniques for tracing code execution and isolating problematic components
Hypothesis Testing
Scientific approach to debugging with hypothesis formation and testing
memory-leak-detector
Detect memory leaks in desktop applications through heap analysis and object tracking
systematic-debugging
Systematic approach to diagnosing and fixing errors
session-management
Manage Claude Code sessions with naming, checkpointing, and resume strategies. Use when organizing long-running work, creating debug checkpoints, managing PR reviews.
fix-issue
Fixes GitHub issues with parallel analysis. Use to debug errors, resolve regressions, fix bugs, or triage issues.
errors
Error pattern analysis and troubleshooting for Claude Code sessions. Use when handling errors, fixing failures, troubleshooting issues.
systematic-debugging
Methodical debugging instead of random changes
Root Cause Tracing
Systematically trace bugs backward through call stack to find original trigger
Debugging Strategies
Advanced debugging patterns for test failures covering root cause analysis, flakiness investigation, performance debugging, and systematic troubleshooting methodologies.
Race Condition Finder
Detect and diagnose race conditions in web applications through concurrent interaction testing, state mutation analysis, and timing-sensitive scenario reproduction.
GitHub CI Fix Debugging
Debug and fix failing GitHub PR checks by inspecting GitHub Actions logs, summarizing failure context, drafting fix plans, and implementing fixes after approval.
fullstack-debugger
Expert debugger for Next.js + Cloudflare Workers + Supabase stacks. Systematic troubleshooting for auth, caching, workers, RLS, CORS, and build issues. Activate on: 'debug', 'not working', 'error', 'broken', '500', '401', '403', 'cache issue', 'RLS', 'CORS'. NOT for: feature development (use language skills), architecture design (use system-architect).
dag-failure-analyzer
Performs root cause analysis on DAG execution failures. Traces failure propagation, identifies systemic issues, and generates actionable remediation guidance. Activate on 'failure analysis', 'root cause', 'why did it fail', 'debug failure', 'error investigation'. NOT for execution tracing (use dag-execution-tracer) or performance issues (use dag-performance-profiler).
dag-execution-tracer
Traces complete execution paths through DAG workflows. Records timing, inputs, outputs, and state transitions for all nodes. Activate on 'execution trace', 'trace execution', 'execution path', 'debug execution', 'execution log'. NOT for performance analysis (use dag-performance-profiler) or failure investigation (use dag-failure-analyzer).
event_driven
Structure systems around asynchronous, event-based communication to decouple producers and consumers for improved scalability and resilience. Use when building loosely coupled systems with asynchronous message-based communication.
openapi_docs
Generate comprehensive REST API documentation using SpringDoc OpenAPI 3.0 and Swagger UI in Spring Boot 3.x applications. Use when setting up API documentation, configuring Swagger UI, adding OpenAPI annotations, implementing security documentation, or enhancing REST endpoints with examples and schemas.
cache_patterns
Instruction set for enabling and operating the Spring Cache abstraction in Spring Boot when implementing application-level caching for performance-sensitive workloads.
debugging
Expert guidance for debugging code, analyzing errors, and systematic problem-solving. Use when troubleshooting bugs, understanding error messages, or investigating unexpected behavior.
diagnose-maestro-deployment
Diagnoses failed Maestro cluster deployments by analyzing Helm releases, pod status, and resource conflicts
testing-strategy
Comprehensive guide for implementing AIDB tests following E2E-first philosophy, DebugInterface abstraction, and MCP response health standards
DAP Protocol Guide
Comprehensive guide for working with the Debug Adapter Protocol (DAP) in AIDB
Browser Daemon
Persistent browser automation via Playwright daemon. Keep a browser window open and send it commands (navigate, execute JS, inspect console). Perfect for interactive debugging, development, and testing web applications. Use when you need to interact with a browser repeatedly without opening/closing it.
session-logs
View and analyze session logs
Debugging Strategies
Advanced debugging patterns for test failures covering root cause analysis, flakiness investigation, performance debugging, and systematic troubleshooting methodologies.
hive-debugger
Interactive debugging companion for Hive agents - identifies runtime issues and proposes solutions
Log Analyzer
Parse log files to find errors, detect patterns, analyze trends, and alert on anomalies
apex-os-bad-boy
The ultimate agent productivity system - 45+ skills with intelligent recommendations, risk-based planning levels, and systematic workflows for maximum efficiency.
hook-master
Meta-skill for creating, validating, testing, and debugging Claude Code hooks. Comprehensive reference for all 18 hook events, exit code contracts, JSON schemas, and templates for both Python and shell hooks.
supreme-problem-solver
Last-resort problem solver with H0/H1/H2 escalation horizons. Forces scope amplification before giving up. Use when standard debugging has failed 3+ times.