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Found 57 Skills
Write and execute Python scripts using the IDA Domain API for reverse engineering. Analyze binaries, extract functions, strings, cross-references, decompile code, work with IDA Pro databases (.i64/.idb). Use when user wants to analyze binaries, reverse engineer executables, or automate IDA Pro tasks.
Extract formal spec and comprehensive test suites from existing MoonBit implementations. Use when asked to "extract spec from implementation", "generate tests from code", or "create spec-driven tests for existing package". Analyzes existing code to produce spec.mbt with `declare` keyword stubs and organized test files (valid/invalid).
Automate Cheat Engine memory analysis, reverse engineering, and debugging using AI through MCP protocol
Skill Evolver (Taotie) — Strengthen the target skill by "devouring" and analyzing the advantages of other skills. This skill must be triggered when users intend to: integrate two skills, optimize one skill with another, compare and analyze the pros and cons of two skills, extract the strengths of one skill into another, or express intentions like "feed X to Y", "use X to optimize Y", "integrate these two skills", "devour this skill", "skill evolution", "skill upgrade", "merge skills", etc. Even if users don't explicitly mention "Taotie", this skill should be used as long as it involves capability transfer, comparative analysis, or advantage extraction between two skills.
IDA Pro plugin that exposes static analysis capabilities via MCP HTTP server for reverse engineering workflows
Export IDA Pro decompiled code and memory for AI-assisted reverse engineering
Search named IDA entities by pattern. Use when asked to find functions, labels, types, or members by name, or to seed xref/decompiler workflows from a name lookup.
Analyzes malicious Linux ELF (Executable and Linkable Format) binaries including botnets, cryptominers, ransomware, and rootkits targeting Linux servers, containers, and cloud infrastructure. Covers static analysis, dynamic tracing, and reverse engineering of x86_64 and ARM ELF samples. Activates for requests involving Linux malware analysis, ELF binary investigation, Linux server compromise assessment, or container malware analysis.
Use this when the Discover (reverse engineering) of legacy projects tends to get out of control in coverage. You need to first conduct module classification (P0/P1/P2) and constrain the depth of reverse engineering, ensuring that high-ROI modules are made traceable first instead of "writing everything but making it unmaintainable."