agentleFS
Sign inStart free
ihyonooihyonoo/skills/skills/deep-interview/SKILL.md

deep-interview

Skill0 starsChanged 41 days agoNo licenceView on GitHub

결정 트리를 라운드 단위로 좁혀가며 질문해 요구사항을 확정한다. 설계·기획·스펙 작성 전 정보가 부족할 때, 사용자가 "딥인터뷰", "요구사항 정리하자", "같이 설계하자"고 할 때 사용한다.

20 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use ralplan, ultraqa and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • ibahgatSkill

    ralplan

    Create a strict, quality-first execution plan with explicit gates and rollback-ready sequencing.

    Also in 8 projects that use this

  • Jurel89Skill

    ultraqa

    QA cycling loop — build/lint/test, fix, retry up to 5 cycles

    Also in 4 projects that use this

  • Jurel89Skill

    ai-slop-cleaner

    Clean AI-generated code slop with a regression-safe, deletion-first workflow and optional reviewer-only mode

    Also in 6 projects that use this

  • ibahgatSkill

    hud

    Control omi visual HUD profile and keep status output readable in normal, compact, or hidden mode.

    Also in 5 projects that use this

  • zephyrpersonalSkill

    ultrawork

    Obsessive task completion mode (Sisyphus Mode) - activates maximum intensity work with todo continuation enforcement

    Also in 5 projects that use this

  • LucasCooperBeySkill

    visual-verdict

    Structured visual QA verdict for screenshot-to-reference comparisons. Returns JSON scores driving edit iterations. Use after any UI implementation to verify visual fidelity.

    Also in 3 projects that use this

The file

Create a free account to mount

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free