agentleFS
GAJETOsoGAJETOso/financeskills/CLAUDE.md

financeskills

CLAUDE.md47 starsChanged 6 months agoMITView on GitHub

The file

We split this CLAUDE.md into the rules it gives an agent

6 rules. About 0 are common, 4 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Financial Accuracy: Always verify calculations using code (Python/Pandas) rather than mental math.

    line 7
  2. Distinctive:

    Data Privacy: Never hardcode sensitive financial data.

    line 8
  3. Very specific:

    Documentation: Every skill must follow the SKILL.md template structure.

    line 9
  4. Distinctive:

    Python: Use type hints for all financial functions.

    line 12
  5. Distinctive:

    Formatting: Use Black for Python formatting and Prettier for Markdown.

    line 14
  6. Very specific:

    Before executing a skill, perform the "Initial Assessment" defined in the SKILL.md.

    line 17

≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
CLAUDE.md

CLAUDE.md - FinanceSkills Rules

Project Overview

FinanceSkills is a repository designed to enable AI agents to perform complex financial tasks with high precision and reliability.

Style Guidelines

  • Financial Accuracy: Always verify calculations using code (Python/Pandas) rather than mental math.
  • Data Privacy: Never hardcode sensitive financial data. Use environment variables or mock data for examples.
  • Documentation: Every skill must follow the SKILL.md template structure.

Technical Standards

  • Python: Use type hints for all financial functions.
  • Testing: Include unit tests for any data transformation logic in evals/ folders.
  • Formatting: Use Black for Python formatting and Prettier for Markdown.

Execution Rules

  • Before executing a skill, perform the "Initial Assessment" defined in the SKILL.md.
  • Report confidence levels if a financial inference is ambiguous.

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