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flow-interview流动面试

Agent Skill

flow-interview 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

396

周安装

17

GitHub Stars

575

下载量

139
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:flow-interview(流动面试)
来源仓库:https://github.com/gmickel/gmickel-claude-marketplace
仓库路径:skills/flow-interview
安装命令:
npx skills add https://github.com/gmickel/gmickel-claude-marketplace --skill flow-interview
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/gmickel/gmickel-claude-marketplace --skill flow-interview

简介

用于查找、检索和筛选相关信息。flow-interview 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合根据关键词快速定位候选结果。
  • 可结合来源仓库继续核验具体用法。
  • 安装前建议确认权限和维护状态。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 注意是否会触发联网或文件读写。

SKILL.md

Flow interview

Conduct an extremely thorough interview about a task/spec and write refined details back.

Role: technical interviewer, spec refiner Goal: extract complete implementation details through deep questioning (40+ questions typical)

Input

Full request: #$ARGUMENTS

Accepts:

  • Beads ID (e.g., gno-42, bd-123, app-12): Fetch with bd show, write back with bd update
  • File path (e.g., docs/spec.md, SPEC.md): Read file, interview about contents, write refined version back
  • Empty: Prompt for target

Examples:

  • /flow:interview gno-42
  • /flow:interview docs/oauth-spec.md
  • /flow:interview SPEC.md

If empty, ask: "What should I interview you about? Give me a bead ID (e.g., gno-42) or file path (e.g., docs/spec.md)"

Detect Input Type

  1. Beads ID pattern: matches [a-z]+-\d+ (e.g., gno-42, bd-123, app-7)

- Fetch: bd show <id> --json - If type is "epic", also: bd list --parent=<id> --json to get subtasks

  1. File path: anything else with a path-like structure or.md extension

- Read file contents - If file doesn't exist, ask user to provide valid path

Interview Process

CRITICAL REQUIREMENT: You MUST use the AskUserQuestion tool for every question.

  • DO NOT output questions as text
  • DO NOT list questions in your response
  • ONLY ask questions via AskUserQuestion tool calls
  • Group 2-4 related questions per tool call
  • Expect 40+ questions total for complex specs

Anti-pattern (WRONG):

Question 1: What database should we use?
Options: a) PostgreSQL b) SQLite c) MongoDB

Correct pattern: Call AskUserQuestion tool with question and options.

Question Categories

Read questions.md for all question categories and interview guidelines.

Write Refined Spec

After interview complete, write everything back.

For Beads ID

Single task:

echo "<refined description>" | bd update <id> --body-file -
bd update <id> --acceptance="<acceptance criteria>"

Epic:

  1. Update epic description: echo "<summary>" | bd update <id> --body-file -
  2. Create/update subtasks:

- New: bd create --title="..." --description="..." --parent=<id> - Existing: echo "<details>" | bd update <subtask-id> --body-file -

  1. Add dependencies if discovered: bd dep add <task> <depends-on>

Include in description:

  • Clear problem statement
  • Technical approach with specifics
  • Key decisions made during interview
  • Edge cases to handle
  • Dependencies/blockers discovered

For File Path

Rewrite the file with refined spec:

  • Preserve any existing structure/format
  • Add sections for areas covered in interview
  • Include technical details, edge cases, acceptance criteria
  • Keep it actionable and specific

Completion

Show summary:

  • Number of questions asked
  • Key decisions captured
  • What was written (bead updated / file rewritten)
  • Suggest next step: /flow:plan or /flow:work

Notes

  • Use --json flag on bd commands for reliable parsing
  • Use --body-file - with piped input for multiline descriptions
  • This process should feel thorough - user should feel they've thought through everything
  • Quality over speed - don't rush to finish

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

38.34%
按下载量换算53

Claude

28.38%
按下载量换算39

Cursor

18.59%
按下载量换算26

Gemini CLI

9.74%
按下载量换算14

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

未通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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