dot_claude/skills/dwarf-expert/SKILL.md
Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5). Triggers when understanding DWARF information, interacting with DWARF files, answering DWARF-related questions, or working with code that parses DWARF data.
npx skillsauth add lv416e/dotfiles dwarf-expertInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This skill provides technical knowledge and expertise about the DWARF standard and how to interact with DWARF files. Tasks include answering questions about the DWARF standard, providing examples of various DWARF features, parsing and/or creating DWARF files, and writing/modifying/analyzing code that interacts with DWARF data.
dwarfdump or readelf to extract debug informationllvm-dwarfdump --verifyWhen specific DWARF standard information is needed, use these authoritative sources:
Official DWARF Standards (dwarfstd.org): Use web search to find specific sections of the official DWARF specification at dwarfstd.org. Search queries like "DWARF5 DW_TAG_subprogram attributes site:dwarfstd.org" are effective.
LLVM DWARF Implementation: The LLVM project's DWARF handling code at llvm/lib/DebugInfo/DWARF/ serves as a reliable reference implementation. Key files include:
DWARFDie.cpp - DIE handling and attribute accessDWARFUnit.cpp - Compilation unit parsingDWARFDebugLine.cpp - Line number informationDWARFVerifier.cpp - Validation logiclibdwarf: The reference C implementation at github.com/davea42/libdwarf-code provides detailed handling of DWARF data structures.
Use llvm-dwarfdump verification options to validate DWARF data integrity:
# Verify DWARF structure (compile units, DIE relationships, address ranges)
llvm-dwarfdump --verify <binary>
# Detailed error output with summary
llvm-dwarfdump --verify --error-display=full <binary>
# Machine-readable JSON error summary
llvm-dwarfdump --verify --verify-json=errors.json <binary>
# Output debug info quality metrics as JSON
llvm-dwarfdump --statistics <binary>
The --statistics output helps compare debug info quality across compiler versions and optimization levels.
--statistics to detect debug info quality regressionsELF files can be parsed via the readelf command ({baseDir}/reference/readelf.md). Use this for general ELF information, but prefer dwarfdump for DWARF-specific parsing.
DWARF files can be parsed via the dwarfdump command, which is more effective at parsing and displaying complex DWARF information than readelf and should be used for most DWARF parsing tasks ({baseDir}/reference/dwarfdump.md).
This skill supports writing, modifying, and reviewing code that interacts with DWARF data. This may involve code that parses DWARF debug data from scratch or code that leverages libraries to parse and interact with DWARF data ({baseDir}/reference/coding.md).
┌─ Need to verify DWARF data integrity?
│ └─ Use `llvm-dwarfdump --verify` (see Verification Workflows above)
├─ Need to answer questions about the DWARF standard?
│ └─ Search dwarfstd.org or reference LLVM/libdwarf source
├─ Need simple section dump or general ELF info?
│ └─ Use `readelf` ({baseDir}/reference/readelf.md)
├─ Need to parse, search, and/or dump DWARF DIE nodes?
│ └─ Use `dwarfdump` ({baseDir}/reference/dwarfdump.md)
└─ Need to write, modify, or review code that interacts with DWARF data?
└─ Refer to the coding reference ({baseDir}/reference/coding.md)
development
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
testing
Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization | 新しいスキルの作成、既存スキルの編集、またはデプロイ前にスキルが機能するか検証する際に使用 - プロセスドキュメントにTDDを適用し、記述前にサブエージェントでテストし、合理化に対して堅牢になるまで反復
development
Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps assuming engineer has minimal domain knowledge | 設計が完了し、コードベースの知識がゼロのエンジニア向けに詳細な実装タスクが必要な場合に使用 - 正確なファイルパス、完全なコード例、検証ステップを含む包括的な実装計画を作成。エンジニアの領域知識が最小限であることを前提
tools
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.