Catalog
All AI skills
45 skills. Every one is readable here; downloads and live use need a subscription.
debugging-and-error-recovery
Guides systematic root-cause debugging. Use when tests fail, builds break, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need a systematic approach to finding and fixing the root cause rather than guessing.
debugging-code
Interactively debug source code — set breakpoints, step through execution line by line, inspect live variable state, evaluate expressions against the running program, and navigate the call stack to trace root causes.
debugging-strategies
Transform debugging from frustrating guesswork into systematic problem-solving with proven strategies, powerful tools, and methodical approaches.
debugging-toolkit
Use when working with debugging toolkit smart debug (Alias for debugging-toolkit-smart-debug)
debugging-toolkit-smart-debug
Use when working with debugging toolkit smart debug
code-showcase-systematic-debugging
Four-phase debugging methodology with root cause analysis. Use when investigating bugs, fixing test failures, or troubleshooting unexpected behavior. Emphasizes NO FIXES WITHOUT ROOT CAUSE FIRST.
distributed-debugging-debug-trace
You are a debugging expert specializing in setting up comprehensive debugging environments, distributed tracing, and diagnostic tools. Configure debugging workflows, implement tracing solutions, and establish troubleshooting practices for development and production environments.
error-debugging-error-analysis
You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions.
error-debugging-error-trace
You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging, and ensure teams can quickly identify and resolve production issues.
error-debugging-multi-agent-review
Use when working with error debugging multi agent review
phase-gated-debugging
Use when debugging any bug. Enforces a 5-phase protocol where code edits are blocked until root cause is confirmed. Prevents premature fix attempts.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
agent-qa-debug-fix
Debug, patch, and verify failed Agent QA runs from MCP evidence, artifacts, logs, and local code without hiding product or infrastructure defects.
agent-qa-result-triage
Triage failed Agent QA runs with MCP evidence, artifacts, logs, fixed failure categories, confidence, and actionable next steps.
bug-hunter
Systematically finds and fixes bugs using proven debugging techniques. Traces from symptoms to root cause, implements fixes, and prevents regression.
cc-skill-continuous-learning
Turn a completed debugging session or repeated user correction into a small, evidence-backed procedure. Use for explicit requests to capture reusable lessons; does not automatically extract or save memories.
cron-doctor
Diagnose and validate cron expressions before they ship. Catches the five silent death-traps: impossible dates that never fire, OR-semantics that fire too often, midnight spikes, uneven step drift, and leap-year February 29.
debugger
Debugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues.
devops-troubleshooter
Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability.
diagnose-android-overheating
Use when diagnosing Android overheating, idle heat, thermal throttling, charging or radio heat, or abnormal battery drain with read-only ADB evidence and approval gates.
dotnet-reverse
.NET/C# binary reverse engineering: managed PE analysis, dnSpyEx debugging, de4dot deobfuscation (ConfuserEx/SmartAssembly/Babel), IL patching, NativeAOT targets, and analysis of red-team Sharp* tooling.
error-diagnostics-error-analysis
You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions.
error-handling-patterns
Build resilient applications with robust error handling strategies that gracefully handle failures and provide excellent debugging experiences.
gdb-cli
GDB debugging assistant for AI agents - analyze core dumps, debug live processes, investigate crashes and deadlocks with source code correlation
github-actions-debugger
Specialized skill for diagnosing, analyzing, and fixing failing GitHub Actions workflows by parsing run logs and pipeline definitions.
go-concurrency-patterns
Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions.
huggingface-spaces
Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants.
incident-response-smart-fix
[Extended thinking: This workflow implements a sophisticated debugging and resolution pipeline that leverages AI-assisted debugging tools and observability platforms to systematically diagnose and res
langfuse
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production.
laravel-development-workflow
Build and fix existing Laravel applications through root-cause diagnosis, repository-native implementation, regression coverage, and risk-based verification.
logic-lens
AI-powered Claude Code skill that performs deep code review using formal logic and reasoning frameworks to detect bugs, anti-patterns, and security risks beyond what linters catch.
makepad-reference
This category provides reference materials for debugging, code quality, and advanced layout patterns.
native-data-fetching
Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline support, and Expo Router data loaders (`useLoaderData`).
orca-replay
Answers questions about a past agent run from its recording rather than from memory, and replays or forks that run. Use when asked why an earlier run did something, or to reproduce a failure.
os-scripting
Operating system and shell scripting troubleshooting workflow for Linux, macOS, and Windows. Covers bash scripting, system administration, debugging, and automation.
protocol-reverse-engineering
Comprehensive techniques for capturing, analyzing, and documenting network protocols for security research, interoperability, and debugging.
python-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
redis-cli
Redis command-line interface (redis-cli) reference and usage guide. Use this skill whenever the user mentions redis-cli, Redis CLI, or any task involving querying, inspecting, debugging, or managing Redis from the command line.
rust-async-patterns
Master Rust async programming with Tokio, async traits, error handling, and concurrent patterns. Use when building async Rust applications, implementing concurrent systems, or debugging async code.
social-metadata-hardening
Fix social sharing previews so URLs render as rich cards on Facebook, LinkedIn, X/Twitter, WhatsApp, Telegram, and more. Covers OG tags, Twitter cards, absolute image URLs, and debugging.
spark-optimization
Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.
the-honoured-one
Forces the AI to fully load context and read relevant files before performing complex, multi-file tasks, architectural changes, or debugging. Prevents acting on assumptions.
tool-design
Build tools that agents can use effectively, including architectural reduction patterns. Use when creating new tools for agent systems, debugging tool-related failures or misuse, or optimizing existing tool sets for better agent performance.
using-n8n-mcp-skills
Route n8n MCP workflow design, editing, validation, testing, deployment, credential, execution, and debugging tasks to specialist guidance.
yes-md
6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.