Token导航 LogoToken导航

Agent Skill · 研究检索

interview-me(采访我)

interview-me 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。

interview-me 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 66,724。

总安装 259周安装 11GitHub Stars 2下载 91核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:interview-me(采访我)
来源仓库:https://github.com/preetamnath/agent-skills
仓库路径:skills/interview-me
安装命令:
npx skills add https://github.com/preetamnath/agent-skills --skill interview-me
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/preetamnath/agent-skills --skill interview-me

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

采访我技能用于查找、检索和筛选相关信息,支持关键词和场景匹配。适用于 Codex、Claude、Cursor、Gemini CLI 等宿主环境。通过 GitHub 安装,使用 npx skills add 命令添加指定仓库的技能。需确认权限范围和维护状态,注意可能触发联网或文件读写操作。

interview-me 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/interview-me

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/preetamnath/agent-skills --skill interview-me;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

interview-me 怎么安装?

在终端执行 npx skills add https://github.com/preetamnath/agent-skills --skill interview-me。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

interview-me 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

interview-me 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

interview-me 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

interview-me 用的人多吗?

公开数据是累计安装 259 次,近一周安装 11 次,下载 91 次,GitHub 2 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

interview-me 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
interview-me

采访我 · 本页

2592调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Interview Me

Move from ambiguity to clarity before building. Read the codebase, then Socratically interview the user — surfacing hidden assumptions and testing their framing — until you could confidently hand this off to be built.

When to use

When the task is non-trivial and the goal is vague, has multiple valid interpretations, or touches unfamiliar areas.

When NOT to use

  • User has a specific request with file paths, function names, or exact behavior
  • Quick fix, typo, or single obvious change
  • User says "just do it" or "skip the questions"
  • User already has a PRD or detailed spec

Protocol

1 — Read context first

Before asking anything, silently explore:

  • Architecture docs (ARCHITECTURE.md, CLAUDE.md, DESIGN.md)
  • Existing code in the affected area
  • Related modules or features

Don't ask questions the codebase already answers.

2 — Interview

Surface what the user is assuming, not just what they're requesting. Target the least-clear concern with each question. Use the AskUserQuestion tool for any question with distinct choices — include your recommendation and why. Use plain text only for genuinely open-ended questions.

For tasks where decisions depend on each other, sketch the decision space as a compact nested list once you can name two or more distinct branches. Share it as a hypothesis: "Here's what I think we need to figure out — does this match?" If you can't yet name two branches, ask open-ended questions until you can — aim to sketch within 2–3 rounds. If the task only has one or two flat questions, skip the tree and ask directly.

Resolve one branch at a time. If a question in one branch requires resolving another first, surface the dependency, resolve the blocking branch, then return. When multiple branches block, resolve the one that unblocks the most other branches first. When branches appear, collapse, or split, update the tree inline with your next question and note what changed. When a branch merely resolves, note the decision and continue. Propose deferral when a branch can't be resolved without information unavailable now — the user confirms.

Continue until every branch is resolved or deferred, and you could confidently hand this off to be built.

Use these dimensions as a completeness check — when sketching the tree and as branches resolve, verify nothing is missing:

  • Scope — What's the goal? What's in, what's out? What's affected?
  • UX and behavior — Happy path, error states, empty states, user flows
  • Technical approach — How should this be implemented? Patterns, data shapes, state management
  • Criteria — What are the acceptance criteria? How will we know it's done?
  • Constraints — Compatibility, performance, dependencies, boundaries
  • Clarity — Resolve any remaining ambiguity or contradictions

These are a lens, not a prescribed structure — the task-specific tree (or direct questions for simpler tasks) is the primary navigation.

If the interview runs long, check in — summarize current clarity and offer to continue or proceed. If the user exits early, note what's still unresolved in the artifact but don't block.

When a load-bearing assumption surfaces, test it once: "Does this constraint actually exist?" or "What's the simplest version that would still be valuable?" Challenge the framing, not the person.

3 — Feasibility check

After the interview establishes what to build, validate that the planned components, APIs, and patterns are available and usable. Launch 1–4 Sonnet subagents in parallel, split by topic. Always run — at minimum, check existing codebase patterns in the affected area.

AreaWhen relevantHow
UI componentsFeature uses specific UI components or librariesCheck component existence, props, composition constraints
External APIsFeature needs external API dataVerify API capabilities, available fields, rate limits
Extension/plugin targetsFeature includes an extension or pluginVerify target capabilities and constraints
Existing codebase patternsAlwaysRead existing code in affected areas, extract reusable patterns, verify interfaces match assumptions. Note test file locations, test style (unit/integration/e2e), and any test helpers or fixtures the implementation should follow

Each subagent returns: exists (yes/no), capabilities, constraints, gotchas.

If issues found: feed back into the interview — update the decision tree if branches changed, resolve with user, then proceed to confirm summary. Limit re-entry to one follow-up round per feasibility issue; if still unresolved, capture it in Unresolved questions. Example: "I checked and component X doesn't support Y natively, here are our options."

4 — Confirm summary

Before writing, present a brief summary of the key decisions, scope, constraints, and feasibility results to the user via the AskUserQuestion tool with options: "Looks good — write it", "Adjust before writing". Recommended: "Looks good — write it". This catches misunderstandings from a long interview before they're committed to a file.

5 — Write handoff artifact

Write the summary to meta/workflows/interviews/interview-NNN-<topic-slug>.md. Create the directory if missing. Find the highest existing number in the directory and increment by 1 (start at 001 if empty). Tell the user the file path.

## Interview Summary: [topic]

### Goal
[1-2 sentences]

### Decisions made
| Decision | Choice | Rationale |
|---|---|---|
| ... | ... | ... |

### Assumptions exposed
| Assumption | Resolution |
|---|---|
| ... | ... |

### In scope
- [what's included]

### Out of scope
- [what's explicitly excluded]

### Decision tree
[If the interview used a decision tree, include the final version as a compact nested list. Tag each branch inline. Omit for simpler interviews that didn't use a tree.]
- Branch name [resolved]
  - Sub-branch [collapsed: user confirmed X instead]
  - Sub-branch [deferred: blocked on Y]

### Criteria
- [acceptance criteria or success conditions — what must be true for this to be done]

### Constraints
- [fixed boundaries, compatibility requirements, dependencies]

### Feasibility results
| Area | Status | Findings |
|---|---|---|
| [area checked] | Available / Partial / Unavailable | [capabilities, constraints, gotchas] |

### Unresolved questions
- [anything still ambiguous, with impact assessment]
- [or "None — ready to proceed"]

### Recommended next step
Pick exactly one based on the sections above:
- `grill-me` — if `Unresolved questions` is non-empty, OR `Assumptions exposed` contains load-bearing items not pressure-tested, OR `Feasibility results` shows Partial/Unavailable
- `sanity-check` — if decisions look sound but you want a lighter validation pass before building
- `plan-builder` — if scope spans 3+ work items OR multiple files/modules, no unresolved/feasibility flags
- Direct implementation — if single-file or single-commit change, no unresolved flags

[Pick one with reasoning that cites the specific row(s) above that triggered the choice]

After writing, use the AskUserQuestion tool with options based on the recommended next step (e.g., "Proceed to grill-me", "Proceed to sanity-check", "Proceed to plan-builder", "Proceed to direct implementation", "Done for now"). Recommended: whichever next step was written in the artifact.

End condition

Stop when every branch in the decision tree is resolved or deferred, the user has confirmed the summary, and the handoff artifact has been written.

Rules

  • One question per round. Tightly coupled follow-ups are fine; shotgunning unrelated questions is not. Sketching or updating the tree alongside a question counts as one round — don't burn a separate round just to present the tree.
  • Always use the AskUserQuestion tool for questions with distinct choices. This is not optional. If you can enumerate the options, use the tool — include your recommendation and why. Plain text is only for genuinely open-ended questions with no enumerable answers.
  • Codebase is context, not constraints. Existing code shows what IS, not what MUST BE. The user may intentionally want to diverge.
  • Reference specific code or docs when asking: "I see X in ARCHITECTURE.md — does that apply here?"
  • Flag bad decisions during the interview, not after. If a stated requirement or decision seems materially suboptimal (correctness, security, reliability, cost), say so with your reasoning. Respect the user's final call — record their decision in the handoff, not yours.

平台分布

Codex

37.39%
按下载量换算34

Claude

28.98%
按下载量换算26

Cursor

17.33%
按下载量换算16

Gemini CLI

8.38%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills