Understand anti-reversing, obfuscation, and protection techniques encountered during software analysis. Use when analyzing protected binaries, bypassing anti-debugging for authorized analysis, or understanding software protection mechanisms.
Systematic debugging with defense-in-depth approach (symptoms → immediate cause → root cause → systemic issues → prevention). Auto-activates when user mentions "error", "failing", "broken", "debug", "bug", "issue" or when /ccpm:verify runs. Uses Observe → Hypothesize → Test → Confirm → Fix → Verify → Document workflow. Updates Linear with findings and automatically logs blockers that require external fixes. Traces root causes instead of patching symptoms. Integrates with ccpm-code-review to verify fixes pass all gates before marking complete. Suggests binary search for intermittent issues and five-whys analysis for complex problems.
Audit inline complexity and recommend variable extraction. Produces a report with flattening suggestions for nested expressions.
Designs and generates Frida JavaScript/TypeScript single-file scripts or full agents for dynamic reverse engineering on multiple platforms. Handles function hooking/tracing (Interceptor, NativeFunction, Stalker), Java/ObjC runtime interaction, memory/module inspection, and produces logged, debuggable output.
This skill should be used when debugging complex kernel issues requiring systematic investigation and documentation. Use for documenting problem analysis, root cause investigation, solution implementation, and evidence collection following Breenix's Problem→Root Cause→Solution→Evidence pattern.
To inspect the Flutter widget tree of the running app, retrieve the widget hierarchy after connecting to the Dart Tooling Daemon.
Use when working with error diagnostics smart debug
Expert reverse engineer specializing in binary analysis, disassembly, decompilation, and software analysis. Masters IDA Pro, Ghidra, radare2, x64dbg, and modern RE toolchains. Handles executable analysis, library inspection, protocol extraction, and vulnerability research. Use PROACTIVELY for binary analysis, CTF challenges, security research, or understanding undocumented software.
Systematic debugging process for Laravel applications - ensures root cause investigation before attempting fixes. Use for any Laravel issue (test failures, bugs, unexpected behavior, performance problems).
Test web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compatibility, debugging accessibility issues, or ensuring assistive technology support.
To capture an accessibility snapshot of the current page, take a structured snapshot for UI inspection.
Master binary analysis patterns including disassembly, decompilation, control flow analysis, and code pattern recognition. Use when analyzing executables, understanding compiled code, or performing static analysis on binaries.
Enforce pristine interrupt/syscall paths with no logging, diagnostics, or heavy operations. Use when developing interrupt handlers, syscall entry/exit, context switches, or timer code.
Use when working with debugging toolkit smart debug
This skill should be used when debugging memory-related issues in the Breenix kernel including page faults, double faults, frame allocation problems, page table issues, heap allocation failures, stack overflows, and virtual memory mapping errors.
Reviews embedded Rust firmware for RP2350 (Raspberry Pi Pico 2 W) and ESP32-S3 (Heltec) microcontrollers with focus on Embassy async runtime, memory constraints, LED control, CAN attachment protocols, and SLCAN bridging. Use when reviewing MCU firmware changes, debugging LED controller issues, evaluating Embassy async patterns, checking static memory allocation, validating SLCAN implementations, or assessing hardware-specific code for WS2812 LEDs, CAN peripherals, and tool attachments. Covers no_std environments, PIO state machines, RMT peripherals, and USB CDC serial communication.
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.
Master network protocol reverse engineering including packet analysis, protocol dissection, and custom protocol documentation. Use when analyzing network traffic, understanding proprietary protocols, or debugging network communication.
Systematically improves Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS) with prioritized fixes and verification. Use for "Core Web Vitals", "performance", "LCP", "INP", or "CLS".
To read console logs from the current page, retrieve console messages for debugging JavaScript output.
Use when working with error debugging multi agent review
Comprehensive UX evaluation meta-skill. Use when conducting UI/UX audits, accessibility reviews, user flow analysis, responsive testing, or interaction design evaluation.
