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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 505–528 of 6,118

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GitHub

binary-analysis

benchflow-ai

Analyze binary files (exe, dll, sys, bin, ocx, scr, cpl, drv) to assess if they are malicious, perform decompilation, extract strings/imports/exports, detect malware, and provide threat assessment. Use this ski...

GitHub

sql-optimization

benchflow-ai

SQL query optimization patterns including EXPLAIN plan analysis, index strategies, query rewriting, and N+1 query prevention. Use when optimizing slow database queries, analyzing query performance, designing in...

GitHub

web-interface-guidelines

benchflow-ai

Vercel's comprehensive UI guidelines for building accessible, performant web interfaces. Use this skill when reviewing or building UI components for compliance with best practices around accessibility, performa...

GitHub

memory-optimization

benchflow-ai

Optimize Python code for reduced memory usage and improved memory efficiency. Use when asked to reduce memory footprint, fix memory leaks, optimize data structures for memory, handle large datasets efficiently,...

GitHub

data-profiler

benchflow-ai

Profile datasets to understand schema, quality, and characteristics. Use when analyzing data files (CSV, JSON, Parquet), discovering dataset properties, assessing data quality, or when user mentions data profil...

GitHub

debugging

benchflow-ai

Apply systematic debugging methodology. Use when investigating bugs, unexpected behavior, or when user reports issues. Auto-apply when conversation includes "bug", "broken", "not working", "wrong", "glitch", "f...

GitHub

c-memory-management

benchflow-ai

Use when managing memory in C programs with malloc/free, pointers, and avoiding common memory safety pitfalls.

GitHub

sql-query-optimizer

benchflow-ai

Analyzes and optimizes SQL queries using EXPLAIN plans, index recommendations, query rewrites, and performance benchmarking. Use for "query optimization", "slow queries", "database performance", or "EXPLAIN ana...

GitHub

exploit-researcher

benchflow-ai

Exploit researcher persona specializing in attack surface analysis, exploit scenario generation, and vulnerability chaining

GitHub

log-analysis

benchflow-ai

Log file analysis including reading, searching, filtering, and pattern matching. Use when investigating issues in logs, searching for errors, or analyzing application behavior.

GitHub

memory-management-optimization

benchflow-ai

Debug memory leaks, profile memory usage, optimize allocations. Use when heap grows unexpectedly, OOM errors occur, or profiling shows memory bottleneck. Covers C++ (Valgrind, ASAN, RAII), Python (tracemalloc,...

GitHub

analyzing-crypto-weakness

benchflow-ai

Identifies weak cryptographic algorithms, hardcoded keys, and insecure key management practices in binary code. Use when analyzing encryption/decryption, authentication mechanisms, or reviewing cryptographic im...

GitHub

optimizing-queries

benchflow-ai

Analyzes and optimizes SQL/NoSQL queries for performance. Use when reviewing query performance, optimizing slow queries, analyzing EXPLAIN output, suggesting indexes, identifying N+1 problems, recommending quer...

GitHub

problem-analysis

solatis

Invoke IMMEDIATELY via python script when user requests problem analysis or root cause investigation. Do NOT explore first - the script orchestrates the investigation.

GitHub

cc-history

solatis

Reference documentation for analyzing Claude Code conversation history files

GitHub

codebase-analysis

solatis

Invoke IMMEDIATELY via python script when user requests codebase understanding, architecture comprehension, or repository orientation. Do NOT explore first - the script orchestrates exploration.

GitHub

e2e-testing

etewiah

Playwright E2E testing and Lighthouse performance auditing. Use when setting up E2E tests, running Playwright tests, performing Lighthouse audits, or debugging E2E test failures.

GitHub

threat-detection

benchflow-ai

Exact detection thresholds for identifying malicious network patterns including port scans, DoS attacks, and beaconing behavior.

GitHub

pcap-analysis

benchflow-ai

Guidance for analyzing network packet captures (PCAP files) and computing network statistics using Python, with tested utility functions.

GitHub

web-navigation-strategies

krafton-ai

Strategic navigation patterns and selector guides for thorough web exploration using Playwright MCP. Provides decision trees, navigation strategies, and site-specific selectors for reading multiple pages system...

GitHub

deep-analysis

cyberkaida

Performs focused, depth-first investigation of specific reverse engineering questions through iterative analysis and database improvement. Answers questions like "What does this function do?", "Does this use cr...

GitHub

ctf-pwn

cyberkaida

Solve CTF binary exploitation challenges by discovering and exploiting memory corruption vulnerabilities to read flags. Use for buffer overflows, format strings, heap exploits, ROP challenges, or any pwn/exploi...

GitHub

binary-triage

cyberkaida

Performs initial binary triage by surveying memory layout, strings, imports/exports, and functions to quickly understand what a binary does and identify suspicious behavior. Use when first examining a binary, w...

GitHub

ctf-rev

cyberkaida

Solve CTF reverse engineering challenges using systematic analysis to find flags, keys, or passwords. Use for crackmes, binary bombs, key validators, obfuscated code, algorithm recovery, or any challenge requir...

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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