智能体工作流

codex-spec-interviewer

stark-ai-de/agent-skills

Turn ambiguous coding requests into verified Codex implementation specs. Use when the user wants requirements, an implementation plan, or a spec before coding; include source checks, needed ADRs, and agreed delivery. Do not use for already specified direct implementation or memory cleanup.

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安装命令

npx skills add https://github.com/stark-ai-de/agent-skills --skill codex-spec-interviewer

SKILL.md

Codex Spec Interviewer

Goal

Produce a user-verified implementation spec with bounded scope, testable acceptance criteria, source-backed decisions, validation, and any required ADRs. Deliver it to the agreed repository path, or in chat when explicitly requested. One approval covers the unchanged result and its concrete authorized writes.

This is one end-to-end workflow. A clear request selects it; do not invent review/save variants or add a workflow-selection checkpoint. For a bare invocation, ask for the task to specify.

When to use

  • The user has a rough idea but not a production-ready implementation spec.
  • The task spans multiple files or concerns, or requires tradeoff decisions.
  • The request needs acceptance criteria, validation commands, rollout notes, or risk handling.
  • The user wants a reusable written artifact before implementation begins.
  • Requirements, feature shape, ADR assumptions, or the implementation approach should be challenged against repo reality and current external sources before coding.

When not to use