Token导航 LogoToken导航TokenDH.com
AI 工具只读github未标认证来源可访问clear审计通过

intent-interview意向访谈

Agent Skill

intent-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

1,458

周安装

59

GitHub Stars

12

下载量

458
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

3

许可证

MIT

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:intent-interview(意向访谈)
来源仓库:https://github.com/arcblock/idd
仓库路径:skills/intent-interview
安装命令:
npx skills add https://github.com/arcblock/idd --skill intent-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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/arcblock/idd --skill intent-interview

简介

通过结构化访谈提炼产品需求,输出技术规格与架构设计方案。

  • 适用于新产品立项、功能迭代或跨团队协作时的需求澄清与文档沉淀。
  • 生成 intent.md 与 overview.md 双版本交付物,分别面向开发与决策人群。
  • 访谈过程需先理解问题域再探讨解决方案,防止过早陷入技术细节讨论。
  • intent-interview 属于AI 工具类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Intent Interview

A structured methodology for extracting, refining, and documenting product/feature requirements through deep interviewing.

Output Artifacts

intent.md (for Code Agents)

Detailed technical specification with:

  • Architecture design
  • Data contracts and schemas
  • Implementation guide with code examples
  • Project structure
  • Decision rationale

overview.md (for Humans)

One-page summary with:

  • Problem statement
  • Core experience flow
  • Architecture diagram (ASCII)
  • Key decisions table
  • Scope and risks

Interview Process

Phase 1: Problem Space

Start by understanding WHAT before HOW.

Questions to ask:
- What is the core problem?
- Who is the target user?
- Is this a new product or addition to existing?
- What's the priority/urgency?

Phase 2: Deep Dive (Iterative)

Cover these dimensions systematically, 3-4 questions per round:

DimensionKey Questions
DataSources, contracts, validation, conflicts, authentication
RenderingCross-platform strategy, components, theming, sizing
Sync/UpdateReal-time requirements, refresh strategy, failure handling
ArchitectureStorage, sharing, cloud/local, offline capability
UXConfiguration flow, error states, feedback mechanisms
Edge CasesFailures, migrations, security, low-end devices
ScopeMVP boundaries, what's in/out, phasing
Tech StackLanguages, frameworks, existing code to reuse

Phase 3: Contradiction Resolution

When answers conflict with earlier choices:

  1. Point out the contradiction explicitly
  2. Ask for clarification with specific options
  3. Update understanding accordingly

Phase 4: Implementation Readiness Check

Before writing specs, verify:

  • Can a code agent implement this without asking questions?
  • Are all technical choices specified?
  • Are edge cases covered?

If gaps exist, continue interviewing.

Question Design

Do

  • Ask non-obvious, probing questions
  • Probe tradeoffs ("if X fails, should we Y or Z?")
  • Use concrete scenarios
  • Offer 3-4 mutually exclusive options
  • Match user's language (中文/English)

Don't

  • Ask yes/no questions
  • Ask obvious implementation details
  • Ask multiple unrelated questions at once

Format

Use AskUserQuestion tool with:

  • 1-4 questions per round
  • 2-4 options per question
  • Short header (max 12 chars)
  • Clear option descriptions

intent.md Template

# [Project] Specification

## 1. Overview
- Product positioning
- Core concept
- Priority
- Target user
- Project scope

## 2. Architecture
- Data layer
- Rendering layer
- Key subsystems

## 3. Detailed Behavior
- Update/refresh
- Error handling
- Data processing

## 4. User Experience
- Key flows
- Configuration

## 5. Technical Implementation Guide
- Project structure
- Code examples

## 6. Decisions Summary
| Decision | Choice | Rationale |

## 7. MVP Scope
- Included
- Excluded

## 8. Risks

## 9. Open Items

overview.md Template

# [Project]: One-line description

## One sentence explanation

## Why?
Problem in plain language

## Core experience
ASCII flow diagram

## Architecture
ASCII component diagram

## Key decisions
| Question | Choice | Why |

## Scope
In / Out

## Risk + Mitigation

## Next steps

Workflow

User describes idea
    ↓
Phase 1: Problem space (1-2 rounds)
    ↓
Phase 2: Deep dive (multiple rounds)
    ↓
Phase 3: Resolve contradictions
    ↓
Phase 4: Check readiness
    ↓ (loop if gaps)
Generate intent.md
    ↓
Ask if overview needed
    ↓
Generate overview.md
    ↓
(Optional) Push to repository

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

29.96%
按下载量换算137

Codex

22.84%
按下载量换算105

OpenCode

17.89%
按下载量换算82

Cursor

12.91%
按下载量换算59

Gemini CLI

8.57%
按下载量换算39

Antigravity

4.04%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

来源信息

继续浏览同类 Skills