Debugging Agent Skills

Upgrade Expo SDK versions and fix dependency issues with step-by-step guidance.

Polls a local relay for animation-refinement jobs from the Timeline Inspector, posts suggestions or applies changes to transition code.

Provides a command-line workflow for binary analysis with radare2, covering reconnaissance, disassembly, function analysis, string and import inspection, patching, binary diffing, and r2pipe scripting across PE, ELF, Mach-O, DEX, and WASM formats.

Guides front-end JavaScript reverse engineering through a structured observe-capture-rebuild workflow using js-reverse MCP tools and optional jshookmcp for browser automation, CDP debugging, and runtime hooking.

Provides a structured CLI workflow for Android APK reverse engineering, covering decompilation with jadx and apktool, smali modification, repackaging, signing, and Frida dynamic hooking, with optional native .so analysis via IDA or radare2.

Performs free, open-source reverse engineering with Ghidra using headless or GUI modes, including decompilation, cross-references, and optional MCP workflows when IDA is unavailable.

Provides structured reverse engineering techniques for analyzing compiled, obfuscated, packed, or virtualized targets including binaries, APKs, WASM, firmware, and custom VMs using static and dynamic analysis workflows.

Provides a repeatable, auditable workflow for large coding tasks by initializing repo-local task artifacts, installing subagent templates, and running a spec-freeze → build → evidence → verify → fix loop with fresh-session verification.

Provides a CTO-level framework for architecting, auditing, and scaling AI-native systems, focusing on state management, observability, and blast radius analysis.

Manages Android devices and Wear OS watches via ADB scripts for screenshots, screen recording, tile management, package operations, and device inspection.

Guides systematic root-cause investigation before proposing fixes for any technical issue, with a four-phase process and red flags to avoid guessing.

Walks a running app across routes, states, and interactions to find real bugs, then root-causes, fixes, adds regression tests, and verifies each fix before committing.

Diagnoses and fixes bugs in emergency mode with a maximum of two iterations, then commits, pushes, and creates a pull request.

Turns a pile of bugs, issues, and error reports into a ranked, actionable plan with reproduction evidence. Ingests GitHub issues via gh, TODO/FIXME scans, error logs, or a pasted list; attempts to reproduce or classify every item; scores by impact, frequency, fix cost, and regression risk; clusters duplicates; and.

Runs a hypothesis-driven debugging workflow that reproduces failures, forms discriminating tests, proves root cause via toggle, and delivers a fix, regression test, and postmortem.

Mines git history and codebase to reconstruct the development lifecycle, identify sequential and parallel patterns, and produce actionable recommendations for future iterations.

Runs a deep cross-layer consistency audit across a codebase, tracing features from UI to database to find broken wiring, missing handlers, model mismatches, and security gaps, then auto-fixes critical and warning issues.

Analyzes game AI systems in a codebase, covering behavior trees, finite state machines, GOAP, utility AI, pathfinding, steering, perception, difficulty adaptation, NPC dialogue, and AI debugging tools for Unity, Unreal, and Godot projects.

Designs, reviews, and troubleshoots Salesforce Flows from an admin perspective, covering flow type selection, bulkification, fault handling, and error diagnosis.

Implements async/await and Promise patterns in Lightning Web Components, covering imperative Apex calls, loading states, error handling, parallel calls, and cancellation with AbortController.

Locates failing GitHub Actions checks on a pull request, fetches logs, summarizes failures, and proposes a fix plan for approval before implementing.

Provides multi-language code navigation via persistent LSP daemons, supporting definitions, references, hover, symbols, and diagnostics for Python, TypeScript, Rust, Go, and more.

Fetches and summarizes TestFlight crash reports, beta feedback, and performance diagnostics using the asc CLI.

Write efficient C code with proper memory management, pointer safety, and POSIX compliance, including debugging and testing guidance.

Analyzes core dumps and live processes with GDB, correlating runtime state with source code to diagnose crashes, deadlocks, and memory issues.

Provides structured debugging guidance for errors, test failures, and unexpected behavior, including root cause analysis and verification steps.

Handle errors as values using fp-ts Either and TaskEither to write cleaner, more predictable TypeScript code.

Prevents Ethereum hashing bugs in JavaScript and TypeScript by distinguishing Keccak-256 from Node's NIST SHA3-256, with usage examples for ethers, viem, and web3.js.

Reviews and repairs risky or unclear code with minimal validated changes, running a fixed-point loop until the diff is clean across two consecutive review cycles.

Delivers measurement-driven performance optimization for latency, throughput, memory, and tail behavior, with correctness preservation and regression guards.

Define owned inductive invariants and enforce them at parse, construct, API, DB, lock, or transaction boundaries, with counterexample-driven verification.

Runs bottom-up type-chain validation across database, hooks, and UI layers, then fixes errors at the failing layer for project health checks before large changes.

Provides C/C++ development reference by fetching live examples from cppcheatsheet.com, covering syntax, system programming, CUDA, debugging, and build systems.

Runs and interprets Elixir/Phoenix tooling (mix test, credo, dialyzer, format), generates OTP-conforming modules, and helps with Ecto and LiveView patterns.

Guides Go developers in building production-ready gRPC services, covering proto organization, server/client implementation, error handling, streaming, testing, and security best practices.

Runs a structured bug-fix pipeline: scouts evidence, diagnoses root cause, applies minimal fixes, and reviews before committing.