vstorm-co/pydantic-deepagents

build-and-compile

Building, compiling, and resolving dependency issues across languages

code-review

Systematic code review for bugs, security, style, and performance

data-formats

Working with diverse data formats: binary, text, structured, and custom

environment-discovery

Systematic exploration of unknown environments before starting work

git-workflow

Git operations: commits, branches, PRs, and conflict resolution

performant-code

Writing efficient code that handles large data and tight constraints

refactor

Refactor code to improve structure and maintainability

skill-creator

Create new reusable skills from conversation context

systematic-debugging

Systematic approach to diagnosing and fixing errors

test-writer

Generate comprehensive test suites for existing code

verification-strategy

Thorough verification of completed work before declaring done

diagram-design

Best practices for creating research diagrams with Excalidraw MCP tools

report-writing

Guidelines for writing well-structured, cited research reports

research-methodology

Best practices for systematic research, source evaluation, and evidence gathering

code-review

Review Python code for quality, security, and best practices

test-generator

Generate pytest test cases for Python functions and classes

data-analysis

Comprehensive data analysis skill for CSV files using Python and pandas