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DataPython

Data Formats

by vstorm-co

Data Formats is a Data skill for Claude Code, published by vstorm-co in pydantic-deepagents.

1K stars126 forkson vstorm-co/pydantic-deepagentsAdded 2026/08/21Repository updated 2026/08/20
agent-frameworkai-agentsanthropicclaude-codeclicoding-agentdeep-researchdocker-sandboxllmsmcpplaywrightpydanticpydantic-aipythonsubagentstuivstorm
Install in seconds
Install Data Formats
Copy Data Formats into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/vstorm-co/pydantic-deepagents/tree/main/pydantic_deep/bundled_skills/data-formats ~/.claude/skills/data-formats

Requires Node.js. Downloads this skill only β€” not the rest of the repository β€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/vstorm-co/pydantic-deepagents.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
pydantic_deep/bundled_skills/data-formats/SKILL.md in vstorm-co/pydantic-deepagents
Installs to
~/.claude/skills/data-formats
Collection
One of 14 skills cataloged from this repository
Category
Data β€” 668 skills

What Data Formats does

Data Formats helps inspect and parse binary, text, structured, and custom files. Use it when a file type is unknown, mixed, or needs format-specific handling.

Data Formats is cataloged under Data on DirSkills. Data Formats comes from a repository tagged agent-framework, ai-agents, anthropic, claude-code and cli.

Documentation

README

Data Formats

How to work with diverse and unknown data formats.

Format Detection

Always inspect before parsing:

file <filename>                    # MIME type detection
xxd <filename> | head -5           # hex dump (first bytes)
head -3 <filename>                 # text preview
python3 -c "
with open('<filename>', 'rb') as f:
    h = f.read(16)
    print(h, h.hex())
"

Common Formats

Binary

  • Magic bytes: Most binary formats start with a signature (ELF: \x7fELF, PNG: \x89PNG)
  • Endianness: Check if little-endian or big-endian (struct.unpack('<I', ...) vs '>I')
  • Alignment: Fields are often aligned to 4 or 8 bytes
  • Offsets: Binary headers often contain offsets to other sections

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Data Formats

  • What else does vstorm-co publish alongside Data Formats?

    Data Formats is one of 14 skills that DirSkills catalogs from vstorm-co/pydantic-deepagents, the repository it ships in. Its siblings there include Build And Compile, Code Review and Code Review. Each one is a separate skill with its own page in this directory, installs the same way Data Formats does, and is maintained by vstorm-co in that same repository. The rest of the collection is listed on the vstorm-co/pydantic-deepagents page.

  • How does Data Formats compare to other Data skills?

    Data Formats ranks #449 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Data Formats against them. Open each page to compare what they document and how they install.

More from vstorm-co/pydantic-deepagents

Data Formats is one of 14 skills cataloged on DirSkills from vstorm-co/pydantic-deepagents.

See all 14 skills β†’