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GitHub 저장소

interactive-brokers-api

interactive-brokers-api에는 areed1192에서 수집한 skills 3개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.

수집된 skills
3
Stars
101
업데이트
2026-04-27
Forks
44
직업 범위
직업 카테고리 1개 · 100% 분류됨
저장소 탐색

이 저장소의 skills

changelog-review
소프트웨어 개발자

Audit, enforce, and maintain changelogs in Python projects. Use this skill whenever someone asks to review a changelog, add a changelog entry, check if a changelog is up to date, fix changelog formatting, create a CHANGELOG.md from scratch, prepare a release, or ensure changelog compliance with Keep a Changelog. Trigger on phrases like "update the changelog", "add a changelog entry", "review my changelog", "is my changelog correct", "prepare for release", "bump the version", "what changed since last release", or any request involving CHANGELOG.md, release notes, or version management in a Python project. Also trigger when someone finishes a code change and needs to document it, or when they ask about semantic versioning.

2026-04-27
package-audit
소프트웨어 개발자

Perform a comprehensive audit of a Python package and produce a phased improvement plan saved to IMPROVEMENT.md. Use this skill whenever someone asks to review a Python package, audit a codebase, plan improvements, modernize a project, assess package quality, or produce an improvement roadmap. Trigger on phrases like "review this package", "audit my project", "what should I improve", "create an improvement plan", "make this package better", "is this project production-ready", "what's wrong with my package", or any request that involves evaluating a Python package holistically. This skill only PLANS — it does not implement changes.

2026-04-27
python-logging-reviewer
소프트웨어 개발자

Audit, plan, and fix logging in any Python project. Use this skill whenever someone asks to review, audit, improve, fix, or standardize logging in a Python codebase. Trigger on phrases like "check my logging", "improve observability", "standardize log output", "add structured logging", "review my logging setup", "fix my logs", "logging best practices", or any request that involves evaluating or improving how a Python project logs. Also trigger when someone mentions replacing print() with proper logging, adding correlation IDs, or making logs machine-readable. Even if the user just says "my logs are a mess" or "I can't debug production", this skill applies.

2026-04-27