Tag: debugging
Capture and Save Bugfix Memories
Automate the capture of bug symptoms, root causes, and resolutions into a searchable memory database. This skill builds a persistent, team-wide knowledge base to eliminate redundant debugging efforts.
GitNexus: Code Intelligence and Graph Reference
This skill provides a comprehensive reference for the GitNexus platform, enabling advanced code understanding, impact analysis, and querying of the underlying knowledge graph. It guides users through various tools for debugging, refactoring…
Codebase Debugging and Execution Flow Tracing
This tool facilitates deep code introspection by querying execution flows, identifying function dependencies, and tracing complex call chains across a codebase. It allows developers to pinpoint the root cause of bugs, errors, or unexpected …
Systematic debugging guide for MCP tools
This skill provides a systematic, multi-phase methodology for tracing and debugging malfunctioning MCP tools. It guides developers through checking five distinct layers—from tool schema definition to response handling—to isolate root causes…
Navigate and understand complex codebases
This skill leverages the GitNexus knowledge graph to provide deep insights into unfamiliar codebases. Developers can trace execution flows, understand symbol dependencies, and map functional areas using structured queries.
Codebase Debugging and Call Chain Tracing
This tool facilitates deep code introspection by querying the codebase graph to trace execution flows, identify function dependencies, and pinpoint the root cause of errors. It supports advanced graph queries to map complex call chains and …
Mako Trace Evidence Tracing
A skill for performing targeted evidence traces across routes, schema objects, files, tables, and error strings to identify implementations and dependencies.
Cortex Memory Debugging and Management
Provides capabilities to validate, rate, and manage the lifecycle of memories, including hard/soft deletion, anchoring critical information, and restoring from checkpoints. It enables developers to maintain retrieval quality by identifying …
Advanced Python Interactive Debugging Utility
Provides comprehensive mechanisms for debugging Python code, supporting local breakpoints, traditional pdb usage, and advanced remote or post-mortem attachment for complex services.
CLI tool for deep LLM code review
This CLI tool facilitates deep, context-aware code analysis by bundling a prompt with selected project files for a single LLM pass. It supports multiple engines (browser/API) and manages long-running sessions for complex debugging or refact…
Node.js Debugging with Inspector and CDP
This utility provides comprehensive debugging capabilities for Node.js, enabling deep inspection of locals, handling async issues, and profiling CPU/heap usage. It supports both the `node inspect` CLI and programmatic interaction via the Ch…
OpenClaw Testing and CI Validation
This skill enables targeted testing and CI validation by identifying the smallest necessary verification path for code changes. It provides procedures for running Vitest suites and managing remote proofs via Crabbox, minimising unnecessary …
OpenClaw Test Heap Leak Investigation
A workflow for investigating Vitest memory growth, RSS spikes, and heap snapshot deltas within the OpenClaw test environment. It enables developers to differentiate between module graph retention and runtime object leaks using heap snapshot…
Systematic Debugging for OpenClaw Model Behavior
This skill guides developers through systematically debugging OpenClaw discrepancies across various execution environments, such as local tests, live providers, and CI pipelines. It emphasizes using targeted logging flags and defined proof …
Plugin Development and Configuration Workflow
An end-to-end workflow for developing, testing, and configuring plugins, including icon creation and troubleshooting.
Complete Plugin Development and Setup Workflow
Provides a comprehensive workflow for building, testing, and configuring plugins, including icon generation and troubleshooting. It manages the entire plugin lifecycle from initial creation to final installation and setup.
Agent monitoring and lifecycle management
This skill provides comprehensive visibility and control over active Bernstein agents. It allows developers to list running agents, inspect live logs, detect stalled processes, and safely terminate misbehaving agents.
datadog-powered production issue debugging skill
This skill facilitates the root-cause analysis of production failures by integrating Datadog's telemetry (APM, logs, metrics) with the Langfuse codebase. It processes incident reports or issue IDs to deliver a structured analysis, including…
Opik Local Development Environment Management
Provides commands and procedures for managing the Opik local development environment, including service orchestration, builds, and migrations. It includes instructions for monitoring logs, configuring SDK overrides, and resolving common con…
GitNexus Code Debugging and Trace Workflow
A structured workflow for debugging errors and tracing execution flows using GitNexus queries and context analysis. It enables developers to identify root causes by inspecting call chains, symbol relationships, and process execution steps.
Systematic Godot Engine Debugging
Provides structured decision trees to diagnose and resolve common Godot engine issues across physics, signals, rendering, navigation, and input. The skill utilises specific engine inspection actions to identify root causes within scene tree…
Langfuse LLM Observability Debugging Skill
This skill enables agents to debug LLM applications using Langfuse observability. It provides structured playbooks for investigating traces, exceptions, and latency, alongside managing prompts and datasets.
Retrieve Unity Editor Console Logs
Retrieves Unity Editor logs with options to filter by log type, limit entry counts, and include stack traces. This tool facilitates debugging and monitoring of Unity Editor activity via the MCP interface.
Clear Unity Editor and MCP Logs
Clears the Unity Editor Console window and the MCP log cache to facilitate error isolation. This is useful for debugging specific actions by ensuring a clean log state before execution.