Reference the Tar/USTAR/PAX/GNU tar archive container format. Use when an AI agent needs to answer questions or make code changes involving tar headers, 512-byte blocks, checksums, typeflags, USTAR prefixes, PAX local/global extended headers, GNU long names/links, sparse entries, wrapper compression, or SharpCompress Tar parsing and writing behavior.
Reference the XZ container format and LZMA/LZMA2 decoder behavior. Use when an AI agent needs to answer questions or make code changes involving XZ headers, blocks, indexes, checks, CRC64/XZ, LZMA2 chunks, LZMA end markers, corrupt .xz test files, or SharpCompress XZ/LZMA parsing and decompression behavior.
Reference the RAR/RAR5 archive container format and UnRAR source behavior. Use when an AI agent needs to answer questions or make code changes involving RAR signatures, RAR5 vint fields, block headers, file/service headers, extra records, solid archives, multivolume parts, encryption headers, recovery records, quick-open data, or SharpCompress Rar parsing and extraction behavior.
Reference the ZIP/ZIP64/PKWARE APPNOTE archive container format. Use when an AI agent needs to answer questions or make code changes involving ZIP local headers, central directory records, EOCD/Zip64 records, data descriptors, general purpose bit flags, compression method IDs, extra fields, encryption markers, split archives, or SharpCompress Zip parsing and writing behavior.
Reference the 7z/7zip archive container format. Use when an AI agent needs to answer questions or make code changes involving 7z signatures, headers, encoded headers, NID/property IDs, packed streams, folders/coders, bind pairs, substreams, file metadata properties, or SharpCompress 7Zip parsing behavior.