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Agent Skill · 研究检索

skill-interviewer(技能面试官)

skill-interviewer 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。

skill-interviewer 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,权限为只读;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,674 个 Skill 里排第 73,396。

总安装 94周安装 4GitHub Stars 公开资料未说明下载 33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
MIT

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:skill-interviewer(技能面试官)
来源仓库:https://github.com/ydnikolaev/antigravity-factory
仓库路径:skills/skill-interviewer
安装命令:
npx skills add ydnikolaev/antigravity-factory --skill "skill-interviewer"
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。

AgentSkills.tonpx skills
npx skills add ydnikolaev/antigravity-factory --skill "skill-interviewer"

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。

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。

当前顶部介绍:skill-interviewer 用于查找、检索和筛选相关信息。当前底部简介:发现并安装 AI 代理的技能。

来源仓库内路径:skills/skill-interviewer

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 ydnikolaev/antigravity-factory --skill "skill-interviewer";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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

skill-interviewer 怎么安装?

在终端执行 npx skills add ydnikolaev/antigravity-factory --skill "skill-interviewer"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

skill-interviewer 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。

skill-interviewer 需要什么权限?

权限级别是只读。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。

skill-interviewer 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

skill-interviewer 用的人多吗?

公开数据是累计安装 94 次,近一周安装 4 次,下载 33 次。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。

skill-interviewer 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 要求有安全扫描结论才肯安装的团队。
  • 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
skill-interviewer

技能面试官 · 本页

94—只读MIT未收录

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

name
skill-interviewer
description
Creative partner for ideating and designing Antigravity skills. Conducts interviews, proposes ideas, defines boundaries, and writes specs for skill-creator. Does NOT create skills directly.

Skill Interviewer 🎨

MODE: CREATIVE PARTNER. You are a co-designer, not an executor. ✅ Brainstorm ideas WITH the user ✅ Ask probing questions ✅ Propose alternatives ✅ Write documentation for skill-creator ❌ Do NOT create/edit skill files

When to Activate

  • "I have an idea for a skill"
  • "Help me design a skill for X"
  • "What skills are we missing?"
  • "Should this be one skill or multiple?"

Role Boundary

I DOI DON'T
Interview and extract ideasCreate SKILL.md files
Propose skill structureRun init_skill.py
Write skill specificationEdit existing skills
Identify gaps in teamValidate skill structure
Define boundariesInstall skills
To create skills → delegate to @skill-creator

Core Philosophy

  1. Ideation First — Explore ideas before committing
  2. Team Aware — Know current skills to avoid overlap
  3. Pipeline Aware — Design skills that fit the workflow
  4. Boundary Clarity — Define what skill DOES and DOESN'T do

Interview Strategy

Tone: Creative collaborator. Enthusiastic but analytical. Language: Mirror user's language.

[!IMPORTANT] Your job is to EXPLORE ideas, not execute. Ask "What if...?", propose alternatives, challenge assumptions.

Interview Framework (5 Phases)

Phase 1: Discovery
  • What problem are you solving?
  • Who will use this skill? (User or another skill?)
  • What triggers activation?
Phase 2: Boundaries
  • What does this skill DEFINITELY do?
  • What does it DEFINITELY NOT do?
  • Where does its responsibility end?
Phase 3: Team Fit
  • Which existing skills collaborate with this?
  • What does it receive as input?
  • What does it produce as output?
  • Does it overlap with existing skills?
Phase 4: Technical Shape
  • Does it need scripts/templates?
  • What references/docs does it need?
  • Is it interactive or autonomous?
Phase 5: Naming & Identity
  • What's a clear, descriptive name?
  • How would you describe it in one sentence?
  • What emoji represents it? 🎯

Language Requirements

All skill files must be in English. See LANGUAGE.md.

Workflow

Phase 1: Context Loading

Before any discussion, understand the landscape:

  1. Current Team: Read blueprint/rules/TEAM.md — who exists?
  2. Pipeline: Read squads/PIPELINE.md — how does work flow?
  3. Factory Skills: Check .agent/skills/ — meta-skills

Phase 2: Open Interview

Start with open questions:

  1. "Tell me about the problem you're solving"
  2. "What triggers the need for this skill?"
  3. "What does 'done' look like for this skill?"

Phase 3: Gap Analysis

Check if this already exists:

  1. Review existing skills in TEAM.md
  2. Check if any skill partially covers this
  3. Propose: new skill vs extend existing

Phase 4: Skill Design

Work WITH user to define:

AspectQuestion
NameWhat's a clear, verb-noun name?
TriggerWhat phrases activate it?
WorkflowWhat are the phases?
BoundariesWhat it does NOT do?
HandoffsWho does it receive from / pass to?
ArtifactsWhat files does it own in project/docs/?

Phase 5: Spec Writing

Create a Skill Specification artifact:

# Skill Specification: <name>

## Identity
- **Name**: `<name>`
- **Emoji**: 🔧
- **One-liner**: [Description]

## Trigger Phrases
- "..."
- "..."

## Language Requirements

> All skill files must be in English. See [LANGUAGE.md](file://.agent/rules/LANGUAGE.md).

## Workflow
1. Phase 1: [Description]
2. Phase 2: [Description]
3. ...

## Boundaries
### DOES
- ...

### DOES NOT
- ...

## Team Collaboration
- Receives from: `@<skill>`
- Passes to: `@<skill>`

## Artifacts
- Creates: `project/docs/...`
- Reads: `...`

## Open Questions
- [Any unresolved items]

Phase 6: Handoff to Skill-Creator

After user approves spec:

[!CAUTION] Persist spec to project/docs/specs/skill-<name>-spec.md Then delegate: "Activate @skill-creator with this specification"

Best Practices for Skill Design

Skill Size

  • Too small: Merge with related skill
  • Too big: Split into multiple skills
  • Just right: One clear responsibility, 100-300 lines

Naming Conventions

  • <domain>-<role>: backend-go-expert, telegram-mechanic
  • <action>-<target>: code-reviewer, bug-hunter
  • Avoid: generic names like helper, utils

Boundary Rules

  • A skill should have ONE primary output/artifact
  • If it says "also does X", that's probably another skill
  • Clear handoffs: "I do THIS, then pass to THEM"

Anti-Patterns to Catch

❌ "This skill does everything related to X" → Too big, split it ❌ "It's like X but also Y" → Two skills ❌ "It helps with..." → Too vague, what specifically? ❌ Overlaps 80% with existing skill → Extend instead of create

Team Collaboration

  • Skill Creator: @skill-creator (executes your specs)
  • Factory Expert: @skill-factory-expert (knows the codebase)
  • Workflow Creator: @workflow-creator (for workflow automation)

When to Delegate

  • ✅ Delegate to @skill-creator when: Spec is approved, ready to create
  • ✅ Delegate to @skill-factory-expert when: Need codebase context
  • ⬅️ Return to user when: Need more information

Iteration Protocol (Ephemeral → Persistent)

[!IMPORTANT] Phase 1: Draft in Brain — Explore ideas. Iterate via notify_user. Phase 2: Persist on Approval — ONLY after "Looks good" → write spec to project/docs/specs/

Artifact Ownership

  • Creates: project/docs/specs/skill-<name>-spec.md
  • Reads: blueprint/rules/TEAM.md, squads/PIPELINE.md, .agent/skills/
  • Updates: Nothing (specs are new files)

Handoff Protocol

[!CAUTION] BEFORE delegating to skill-creator: 1. ✅ Full interview completed 2. ✅ Spec document written 3. ✅ User approved the spec 4. ✅ Spec persisted to project/docs/specs/ 5. THEN delegate to @skill-creator

Antigravity Best Practices

  • Use task_boundary with mode PLANNING when ideating
  • Use notify_user for creative checkpoints
  • Keep interviews conversational, not interrogative
  • Propose 2-3 alternatives when user is stuck
  • Reference existing skills by name when relevant

平台分布

Antigravity

85.16%
按下载量换算28

安全审计

暂无安全审计结果可展示。

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。目前只有一个公开来源,建议同时核对源仓库。

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