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deep-interview深度访谈

Agent Skill

deep-interview 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

27,384

周安装

700

GitHub Stars

10

下载量

7,975
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:deep-interview(深度访谈)
来源仓库:https://github.com/willsigmon/sigstack
仓库路径:skills/deep-interview
安装命令:
npx skills add https://github.com/willsigmon/sigstack --skill 'Deep 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/willsigmon/sigstack --skill 'Deep Interview'

简介

用于处理 GitHub 仓库、Issue 和 Pull Request 信息。

  • 适合围绕代码变更和协作事项进行整理。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装命令:npx skills add https://github.com/willsigmon/sigstack --skill 'Deep Interview
  • 安装前建议确认权限范围和是否会触发文件读写。

SKILL.md

Deep Interview

Spec-first development. Ask hard questions now, avoid expensive rework later.

The Pattern

Feature description → Pointed questions (8-15 rounds) → Polished @spec.md → Implementation

When to Use

  • New flows touching 3+ screens
  • New data models or persistence changes
  • Architectural decisions with real trade-offs
  • Features with non-obvious edge cases
  • Anything where "just build it" would lead to rework

When NOT to Use

  • Bug fixes
  • Single-screen UI tweaks
  • Adding a button with obvious behavior
  • Text/color/spacing changes

Question Taxonomy (iOS-Adapted)

Focus questions on what actually matters for iOS app development:

Always Cover

1. Core invariant — the one thing that must never break
2. Data model — what's stored, where, relationships
3. UI/UX flows — screens, states (loading/empty/error/success)
4. State management — @Observable, environment, bindings
5. Edge cases — what goes wrong, blast radius

Cover If Relevant

6. Offline behavior & sync (CloudKit, conflict resolution)
7. Permissions & entitlements (camera, notifications, etc.)
8. Accessibility (VoiceOver, Dynamic Type)
9. Performance (large lists, memory, battery)
10. Future extension points

Skip Unless Explicitly Needed

- Tenancy models
- i18n / l10n
- API contract design
- Enterprise scale concerns
- Observability / analytics

Asking Style

One Cluster at a Time

Ask 1-3 closely related questions per round. Never dump 10 questions.

Teach While Asking

Brief context before the question — one sentence explaining why it matters. Don't lecture. The user is learning, not being tested.

Use Structured Choices When Sharp

AskUserQuestion with concrete options when it narrows the decision space. Open-ended when the answer space is too wide for multiple choice.

Pointed, Not Generic

Bad:  "What database do you want?"
Good: "When the user closes mid-edit, should changes auto-save, require
       explicit save, or be discarded?"

Exit Conditions

Stop interviewing when at least two are true:

  • User says "done" / "write the spec" / "that's enough"
  • ≥ 8 rounds asked, no new topics in last 2 rounds
  • Spec can be written with < 5 remaining questions

Spec Output

Write to @spec.md (or versioned: @spec-v2.md, @feature-spec.md).

10 sections max. Omit empty sections:

  1. Goal
  2. Non-goals
  3. Core Invariants
  4. User Stories & Acceptance Criteria
  5. Data Model
  6. UI/UX Flows
  7. Edge Cases & Error Handling
  8. Testing Approach
  9. Known Trade-offs
  10. Open Questions (should be < 3)

Integration with SigStack

After spec is approved, hand off to normal execution flow:

  • Decision phase confirms approach
  • Spawn agents for implementation
  • Spec serves as the source of truth for all agents

Use when: New feature interview, spec writing, requirements gathering, "grill me", "deep spec"

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

34.77%
按下载量换算2,773

Claude

30.92%
按下载量换算2,466

Cursor

20.1%
按下载量换算1,603

Gemini CLI

9.02%
按下载量换算719

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/willsigmon/sigstack --skill 'Deep Interview' 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。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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