Token导航 LogoToken导航TokenDH.com
研究检索只读github未标认证来源可访问许可证需确认审计通过

interview面试准备

Agent Skill

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

216

周安装

9

GitHub Stars

2

下载量

72
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:interview(面试准备)
来源仓库:https://github.com/lev-os/agents
仓库路径:skills/interview
安装命令:
npx skills add https://github.com/lev-os/agents --skill 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/lev-os/agents --skill interview

简介

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。

  • 适用于面试题库查询、岗位技能要求分析和候选人评估资料筛选等招聘支持场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和联网需求。
  • 建议结合原始 README 核验具体用法,注意维护状态及是否触发文件读写操作。
  • interview 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Interview: Wizard-Mode Questioning

Framework-powered interactive decision-making. Guides users through complex problems using strategic, creative, and philosophical frameworks.

Quick Start

/interview                    # Start new interview session
/interview --framework=SCAMPER  # Start with specific framework

Hard Requirements (Non-Optional)

  1. Research between every question — run fresh evidence-gathering before each new question.
  2. Work lifecycle coupling — when .lev/pm/ exists, treat interview as part of work lifecycle and update active artifacts.
  3. Context-rich questions only — never ask "ingredient-only" option prompts without decision context and consequences.
  4. Trade-off transparency — always surface trade-offs, validation-gate impact, and side effects.

How It Works

  1. Context Analysis - Detect complexity and classify decision level (strategic/integrative/tactical).
  2. Framework Selection - Choose one primary framework and one cross-check lens.
  3. Per-Question Research (required) - Before each question, collect new evidence from workspace, prior answers, and constraints.
  4. Lifecycle Sync (required with work) - Track entities/decisions and iterate handoff/spec/proposal docs as context evolves.
  5. Question Loop (reciprocal) - Ask one structured question, answer one reciprocal user question, then continue.
  6. Decision Assimilation - After each answer, update artifacts and convert resolved questions into explicit decisions.
  7. MBTI Overlay (optional) - Use only when perspective-testing is useful.

Per-Question Research Protocol (Required)

Before each question, do all of:

  1. Pull evidence from current workspace context (specs, handoffs, plans, code).
  2. Check active constraints and quality gates.
  3. Validate whether the next question still matters based on newly discovered facts.

Minimum evidence set per question:

  • One artifact fact from .lev/pm/ (spec/handoff/proposal/plan).
  • One implementation or architecture fact from code/docs.
  • One validation constraint from .lev/validation-gates.yaml when present.

If no new evidence exists, explicitly state that and why the next question is still needed.

Work Lifecycle Coupling (Required when .lev/pm/ exists)

Interview mode is not standalone Q&A. It is a foreground intake loop inside work DISCOVER/ALIGN.

When active:

  1. Locate active handoff under .lev/pm/handoffs/ and keep it current.
  2. Track entities (state changes, blockers, decisions) using lifecycle language.
  3. Iterate affected docs after each major answer:

- specs (.lev/pm/specs/) - proposals (.lev/pm/proposals/) - handoffs (.lev/pm/handoffs/)

  1. Convert resolved open questions into decisions with rationale and consequence.
  2. Carry unresolved items forward with explicit owner/next action.

Degrade gracefully if artifacts are missing, but do not skip lifecycle sync silently.

Session Handoff Bootstrap (Hard Rule)

If there is no active session handoff, the interview must not proceed as normal Q&A.

Required behavior:

  1. Load $work and run DISCOVER lifecycle preflight.
  2. Create or update the active handoff under .lev/pm/handoffs/.
  3. Record stage, objective, and initial evidence before asking decision questions.
  4. Resume interview loop only after handoff continuity exists.

Enforcement:

  • If $work cannot be loaded, stop and ask the user to resolve the blocker.
  • Do not run fallback interview behavior without work lifecycle initialization.

Framework Library

Strategic/Systems Thinking

  • SWOT, First Principles, Systems Thinking, Theory of Constraints
  • McKinsey 7S, Cynefin, Jobs to Be Done

Creative Thinking

  • SCAMPER, Reverse Brainstorming, Extreme Users
  • Six Thinking Hats, Figure Storming, TRIZ, Design Thinking

Philosophical/Spiritual

  • Taoist Wu Wei, Ubuntu, Ayurvedic Doshas
  • Buddhist Non-Attachment, Sufi/Rumi Poetry, I Ching, Stoicism

Psychological/Cognitive

  • MBTI (8 Cognitive Functions), Big Five (OCEAN), Ladder of Inference

Output Format

Single question with grounded options:

q1) {Question title}
🎯 Decision Context:
- {What decision is being made}
- {Why this decision is needed now}
- {What gets blocked/unblocked}
- {What could break if wrong}

🧠 {Framework Name} Analysis:
{Framework-based interpretation of the decision and pressure points}

🔎 Evidence (research run this turn):
- {Prior answer + artifact evidence with path}
- {Code/doc fact relevant to this decision}
- {Validation gate(s) impacted from .lev/validation-gates.yaml}
- {Constraint/conflict/assumption check}

⚖️ Trade-off Summary:
| Option | Benefits | Costs/Risks | Gate Impact | Side Effects |
|---|---|---|---|---|
| a | ... | ... | ... | ... |
| b | ... | ... | ... | ... |
| c | ... | ... | ... | ... |  # optional

Options (2-3 researched):
a. {Concrete option A with trade-off}
b. {Concrete option B with trade-off}
c. {Concrete option C with trade-off}  # optional

✅ Recommended: {Option letter} — {Why this best fits evidence and constraints}

🤝 Reciprocal:
User may ask one question; answer directly before next interview question.

🧭 Follow-Up Menu:
1. [{Action for option A}]
2. [{Action for option B}]
3. [{Alternative perspective}]
4. [Deep dive into trade-offs]
5. [Go back]
6. [Switch framework]

Integration

  • Command: /interview (formerly /guideme)
  • Skill Route: skill://interview
  • Used by: work skill for wizard-mode context gathering
  • Lifecycle Hook: In repos with .lev/pm, interview must update entities/handoffs/docs as part of work progression
  • Gate Awareness: Interview must consult .lev/validation-gates.yaml for option-level compliance and side effects

Status: v1.2.0 Migrated from: /guideme command

Technique Map

  • Identify scope — Determine what the skill applies to before executing.
  • Follow workflow — Use documented steps; avoid ad-hoc shortcuts.
  • Ground every question — No question without fresh per-turn evidence from context/research.
  • Show research trace — Make evidence visible in every question.
  • Update lifecycle artifacts — Maintain handoff/spec/proposal continuity when .lev/pm is active.
  • Recommend explicitly — Always include a best option and rationale.
  • Expose trade-offs — Include gate impact, side effects, and blast radius.
  • Use reciprocity — Handle one user counter-question before advancing.
  • Verify outputs — Check results match expected contract.
  • Handle errors — Graceful degradation when dependencies missing.
  • Reference docs — Load references/ when detail needed.
  • Preserve state — Don't overwrite user config or artifacts.

Technique Notes

Skill-specific technique rationale. Apply patterns from the skill body. Progressive disclosure: metadata first, body on trigger, references on demand.

Prompt Architect Overlay

Role Definition: Specialist for interview domain. Executes workflows, produces artifacts, routes to related skills when needed.

Input Contract: Context, optional config, artifacts from prior steps. Depends on skill.

Output Contract: Artifacts, status, next-step recommendations. Format per skill.

Edge Cases & Fallbacks: Missing context—ask or infer from workspace. Missing lifecycle artifacts—create minimal continuity notes and continue. Dependency missing—degrade gracefully and state what could not be validated. Ambiguous request—clarify before proceeding.

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

36.52%
按下载量换算26

Claude

31.25%
按下载量换算23

Cursor

18.83%
按下载量换算14

Gemini CLI

9.78%
按下载量换算7

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。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

继续浏览同类 Skills