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GitHub 저장소

ilia-izmailov-plugins

ilia-izmailov-plugins에는 izmailovilya에서 수집한 skills 6개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.

수집된 skills
6
Stars
39
업데이트
2026-07-19
Forks
10
직업 범위
직업 카테고리 2개 · 100% 분류됨
저장소 탐색

이 저장소의 skills

team-feature
소프트웨어 개발자

Launch Agent Team for feature implementation with review gates (coders + specialized reviewers + tech lead). Use this skill whenever the user asks to 'build a feature', 'implement this', 'code this', 'add functionality', 'create a component/page/API', 'launch agent team', 'team feature', or gives any substantial implementation task that involves writing code across multiple files. Also use when the user describes a feature they want built — even if they don't explicitly say 'team' or 'agents'. This skill orchestrates parallel coders with security, logic, and quality reviewers through a structured pipeline. Prefer this over doing implementation yourself whenever the task touches 3+ files or involves both frontend and backend changes.

2026-07-19
repo-scout
소프트웨어 개발자

Scout an open-source GitHub repository for patterns, features, and ideas that can improve the user's own product or project. Use this skill when the user shares a GitHub URL and wants to learn from it — 'look at this repo', 'what can I steal from X', 'check out this project and find ideas', 'how can I improve my product based on X', 'analyze this repo', 'find patterns in this repo for my project'. Also use when the user mentions a competitor or open-source tool and wants to understand what makes it good and how to apply those lessons. This skill goes beyond just reading a README — it clones the repo, explores architecture and patterns in parallel, compares with the user's project, and delivers actionable recommendations.

2026-03-31
conventions
소프트웨어 개발자

Analyze codebase and create/update .conventions/ directory with gold standards, anti-patterns, and checks. Use this skill when the user asks to 'set up conventions', 'create coding standards', 'extract patterns from the codebase', 'document how code should be written', 'create gold standards', 'establish code style', or wants to ensure consistent code quality across the project. Also use when starting work on a new codebase that lacks a .conventions/ directory — conventions are the foundation for all agent-teams code quality.

2026-03-31
interviewed-team-feature
컴퓨터·정보 시스템 관리자

Conducts a short adaptive interview (2-6 questions) to understand intent, then launches /team-feature with a compiled brief. Use this skill when the user asks to 'interview before building', 'discuss feature before implementation', 'ask me questions first', 'let's talk about what to build', 'I have an idea but need to flesh it out', or when the user's feature request is vague or ambiguous and would benefit from clarification before launching a full agent team. Also use when the user explicitly wants to be involved in scoping before implementation begins.

2026-03-31
team-research
소프트웨어 개발자

Launch Agent Team for parallel deep codebase/topic research — causal understanding, not just coverage. Use this skill whenever the user asks to 'research the codebase', 'understand how X works', 'investigate', 'explore architecture', 'analyze the codebase', 'how does this work', 'deep dive into', 'trace how data flows', or needs thorough multi-angle investigation of code, architecture, or any technical topic. Also use when the user asks a complex question about the codebase that requires reading multiple files across different areas — a single grep won't cut it. Prefer this over ad-hoc exploration when the question spans multiple modules or needs causal understanding (WHY something exists, not just WHAT exists).

2026-03-31
vibe-audit
소프트웨어 개발자

Interactive feature audit — finds dead code, unused experiments, and abandoned features through conversation. Use this skill when the user asks to 'clean up the project', 'find dead code', 'audit the codebase', 'what can we delete', 'find unused code', 'project cleanup', 'remove old experiments', or wants to reduce codebase bloat. Especially useful for vibe-coded projects where experimental code accumulates. Also use when the user notices the project has grown messy, has files they're not sure about, or wants to understand what's actively used vs abandoned.

2026-03-31