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Analyzes DWARF debug information in compiled binaries. Use when inspecting .debug_* sections, DIE trees, or DW_TAG_/DW_AT_ entries with dwarfdump/llvm-dwarfdump or readelf, verifying debug info with llvm-dwarfdump --verify, answering DWARF standard questions, or writing code that parses DWARF (libdwarf, pyelftools, gimli).

Facilitates evidence-aware scientific ideation with independent generation, structured discussion, explicit assumptions, transparent evaluation, adversarial review, and decision logs. Use for early-stage research brainstorming or prioritizing candidate directions; hand off empirical validation, study design, ethics or regulatory review, and clinical questions to appropriate experts or skills.

Secure multi-platform AI skill installer — scan before you install. 49 agents, 12 plugins, 41 expert skills.

🚀 Explore reusable Claude skills that enhance domain knowledge, crafted by Anthropic for improved functionality and expertise.

Production-grade AI development framework for Claude. Maintains coding standards, architectural decisions, and team patterns across sessions. Stack-agnostic design works with React, Python, Rust, Go, and any framework. Install in 2 minutes, scale team expertise instantly. No lock-in—just markdown.