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research debugging AI Skills

Discover research debugging skills, compare source repositories and read the instructions for each workflow.

Categories: research debugging

Showing 481–504 of 6,118

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GitHub

browser-tools

badlogic

Interactive browser automation via Chrome DevTools Protocol. Use when you need to interact with web pages, test frontends, or when user interaction with a visible browser is required.

GitHub

react-best-practices

benchflow-ai

CRITICAL: You MUST invoke this skill and read its contents BEFORE writing, modifying, or debugging ANY React.js or Next.js code. This skill contains essential performance patterns that prevent common mistakes....

GitHub

path-tracing-reverse

benchflow-ai

Guidance for reverse engineering graphics rendering programs (ray tracers, path tracers) from binary executables. This skill should be used when tasked with recreating a program that generates images through ra...

GitHub

browser-testing

benchflow-ai

VERIFY your changes work. Measure performance, CLS. Use BEFORE and AFTER making changes to confirm fixes. Includes ready-to-run scripts: measure-cls.ts, detect-flicker.ts

GitHub

fix-ocaml-gc

benchflow-ai

Guide for debugging and fixing bugs in the OCaml garbage collector, particularly memory management issues in the runtime's sweeping and allocation code. This skill applies when working on OCaml runtime C code,...

GitHub

extract-elf

benchflow-ai

Guidance for extracting and processing data from ELF (Executable and Linkable Format) binary files. This skill should be used when tasks involve parsing ELF headers, reading program segments, extracting memory...

GitHub

vulnerable-secret

benchflow-ai

Guidance for extracting secrets from protected or obfuscated binaries through systematic static and dynamic analysis. This skill should be used when tasks involve reverse engineering executables, extracting hid...

GitHub

break-filter-js-from-html

benchflow-ai

Guidance for bypassing HTML/JavaScript sanitization filters in security testing contexts. This skill should be used when tasked with finding XSS filter bypasses, testing HTML sanitizers, or exploiting parser di...

GitHub

custom-memory-heap-crash

benchflow-ai

Guide for debugging crashes related to custom memory heaps, particularly use-after-free issues caused by static destruction ordering, DEBUG vs RELEASE discrepancies, and custom allocator lifecycle problems. Thi...

GitHub

sqlite-with-gcov

benchflow-ai

Guidance for compiling SQLite (or similar C projects) with gcov code coverage instrumentation. This skill should be used when tasks involve building software with gcov flags, setting up code coverage instrument...

GitHub

feal-differential-cryptanalysis

benchflow-ai

Guidance for implementing differential cryptanalysis attacks on FEAL (Fast Data Encipherment Algorithm) and similar block ciphers. This skill should be used when tasks involve recovering round keys, implementin...

GitHub

find-cpython-usage

DataDog

Find all CPython internal headers and structs used in the codebase, particularly for profiling functionality. Use this when adding support for a new Python version to identify what CPython internals we depend o...

GitHub

compare-cpython-versions

DataDog

Compare CPython source code between two Python versions to identify changes in headers and structs. Use this when adding support for a new Python version to understand what changed between versions.

GitHub

legacy-code-reviewer

benchflow-ai

Expert system for identifying deprecated patterns, suggesting refactoring to modern standards (Python 3.12+, ES2024+), checking test coverage, and leveraging AI-powered tools. Proactively applied when users req...

GitHub

browser-testing

benchflow-ai

VERIFY your changes work. Measure CLS, detect theme flicker, test visual stability, check performance. Use BEFORE and AFTER making changes to confirm fixes. Includes ready-to-run scripts: measure-cls.ts, detect...

GitHub

python-dev

benchflow-ai

Python development guidance with code quality standards, error handling, testing practices, and environment management. Use when writing, reviewing, or modifying Python code (.py files) or Jupyter notebooks (.i...

GitHub

vuln-patterns-core

benchflow-ai

Universal vulnerability detection patterns applicable across all programming languages. Includes hardcoded secrets, SQL/command injection, path traversal, and configuration file patterns.

GitHub

memory-debugging

benchflow-ai

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...

GitHub

assisting-reverse-engineering

benchflow-ai

Provides reverse engineering analysis support including function identification, data structure analysis, and behavior understanding. Use when analyzing unknown binaries, understanding program structure, or inv...

GitHub

ripgrep

benchflow-ai

Efficient text search using ripgrep (rg) with one-shot patterns that minimize iterations by getting files, line numbers, and context in a single call

GitHub

cross-site-scripting-and-html-injection-testing

benchflow-ai

This skill should be used when the user asks to "test for XSS vulnerabilities", "perform cross-site scripting attacks", "identify HTML injection flaws", "exploit client-side injection vulnerabilities", "steal c...

GitHub

log-analyze

benchflow-ai

Parse and analyze system and application logs. Use when the user says "find errors in logs", "analyze logs", "check journalctl", "what's in the logs", "debug from logs", or asks to investigate log files.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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