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Behavioral Interview Story Bank

作者 haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
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在 OpenClaw 中安装
/install behavioral-interview-story-bank
功能描述
Turn real work history into a reusable STAR/CARL interview story bank with tags, variants, probes, and practice prompts.
使用说明 (SKILL.md)

Behavioral Interview Story Bank

Purpose

Help candidates convert real experience into a reusable bank of behavioral interview stories. The skill organizes examples by competency, evidence strength, role relevance, and risk flags, then creates concise variants for different interview lengths.

When to Use

Use this skill when you:

  • Are preparing for behavioral interviews and need STAR, CARL, or similar story structures.
  • Have resume bullets, project notes, or messy memories but no polished story bank.
  • Need examples for leadership, conflict, failure, ambiguity, collaboration, influence, ownership, learning, or impact questions.
  • Want 30-second, 60-second, and 120-second versions of the same story.
  • Want practice prompts and follow-up questions that test the story under pressure.

Do not use it to invent employment history, fake achievements, or hide major facts.

Best Inputs

Useful inputs include:

  • Target role, seniority, company type, and interview format.
  • Resume, project list, performance review excerpts, portfolio notes, or memory dump.
  • 3-10 candidate experiences: wins, conflicts, mistakes, launches, failures, leadership moments, customer/user impact.
  • Metrics or evidence that are true and safe to share.
  • Stories the user does not want to discuss.
  • Tone preference: humble, confident, concise, executive, technical, warm.

Workflow

  1. Experience Inventory — Extract candidate events from the user's notes. Mark each as confirmed, unclear, or missing evidence.
  2. Competency Mapping — Tag stories against likely behavioral themes: leadership, collaboration, conflict, ambiguity, failure, ownership, influence, customer focus, technical judgment, communication, and learning.
  3. Evidence Check — Identify proof points, metrics, decisions, stakeholders, constraints, and outcomes. Ask follow-up questions only where missing details weaken the story.
  4. Story Selection — Choose 8-12 strongest stories, prioritizing reusable examples that can answer multiple questions.
  5. Story Structuring — Convert each into STAR or CARL: Situation/Context, Task/Action, Result, Learning.
  6. Variant Building — Produce 30-second, 60-second, and 120-second versions without sounding memorized.
  7. Risk Flags — Flag stories that blame others, reveal confidential information, exaggerate ownership, or lack a clear result.
  8. Practice Pack — Generate likely questions, follow-up probes, and a rehearsal plan.

Output Format

Return:

  1. Story Bank Table with title, competency tags, target questions, evidence strength, risk flags, and best-use context.
  2. Detailed Story Cards for 8-12 stories using STAR/CARL.
  3. Length Variants for top stories: 30 / 60 / 120 seconds.
  4. Question Mapping Table that maps common behavioral prompts to the best story.
  5. Follow-up Probe Prep for interviewers who dig into details.
  6. Practice Plan with rehearsal prompts and refinement notes.

Guardrails

  • Do not invent jobs, projects, titles, metrics, responsibilities, credentials, or outcomes.
  • Do not coach the user to misrepresent someone else's work as their own.
  • Do not reveal confidential employer, customer, patient, student, or proprietary details; suggest redaction or abstraction.
  • Do not guarantee hiring outcomes.
  • Avoid robotic over-scripting. Preserve the user's natural voice and truthful uncertainty.
  • If a story involves harassment, discrimination, legal issues, medical issues, or workplace investigations, keep guidance general and suggest professional advice where appropriate.

Example Prompts

  • "Use Behavioral Interview Story Bank for a product manager interview. My projects: checkout redesign, failed analytics launch, cross-team roadmap conflict."
  • "Here is my resume. Build a STAR story bank for leadership, conflict, failure, and ambiguity questions."
  • "Turn this messy project memory into a concise interview story without exaggerating my role."

Example Output Skeleton

## Story Bank Overview
| Story | Tags | Best Questions | Evidence Strength | Risk Flags |
|---|---|---|---|---|

## Story Card: Checkout Redesign
- Question fit:
- Situation:
- Task:
- Action:
- Result:
- Learning:
- 30-sec version:
- 60-sec version:
- 120-sec version:
- Follow-up probes:

## Practice Plan
1. Rehearse one leadership story aloud.
2. Tighten metrics and remove confidential details.
3. Practice two follow-up probes.
安全使用建议
This skill appears safe to use for interview preparation. Before installing or invoking it, remember that it works best with resumes, project notes, and work-history details, so avoid pasting confidential company, customer, legal, medical, or personnel information unless you have redacted it.
功能分析
Type: OpenClaw Skill Name: behavioral-interview-story-bank Version: 1.0.0 The skill bundle is a pure prompt-based tool designed for behavioral interview preparation using the STAR/CARL methods. It contains no executable code, scripts, or network capabilities, and the instructions in SKILL.md include explicit guardrails to prevent the invention of data or the disclosure of confidential information.
能力评估
Purpose & Capability
The stated purpose, metadata, and SKILL.md content consistently describe building truthful STAR/CARL interview stories from the user's real work history.
Instruction Scope
Instructions are bounded to interview preparation and explicitly prohibit inventing experience, misrepresenting work, revealing confidential details, or guaranteeing hiring outcomes.
Install Mechanism
No install spec, executable code, required binaries, API requirements, or credentials are present; this is an instruction-only skill.
Credentials
The skill expects potentially private career inputs such as resumes, project notes, and performance review excerpts, which is proportionate for interview prep but should be handled carefully by the user.
Persistence & Privilege
Artifacts show no background process, persistence mechanism, privilege request, credential use, network access, or file-system authority beyond generating text output.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install behavioral-interview-story-bank
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /behavioral-interview-story-bank 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of the Behavioral Interview Story Bank skill: - Converts real work history into a structured STAR/CARL interview story bank. - Tags stories by competency, relevance, and risk flags; supports multi-length variants. - Includes evidence checks and ethical guardrails—does not invent or exaggerate experience. - Generates practice prompts, follow-up probes, and a rehearsal plan. - Provides a comprehensive output: story table, detailed cards, question mapping, and practice guidance.
元数据
Slug behavioral-interview-story-bank
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Behavioral Interview Story Bank 是什么?

Turn real work history into a reusable STAR/CARL interview story bank with tags, variants, probes, and practice prompts. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 27 次。

如何安装 Behavioral Interview Story Bank?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install behavioral-interview-story-bank」即可一键安装,无需额外配置。

Behavioral Interview Story Bank 是免费的吗?

是的,Behavioral Interview Story Bank 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Behavioral Interview Story Bank 支持哪些平台?

Behavioral Interview Story Bank 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Behavioral Interview Story Bank?

由 haidong(@harrylabsj)开发并维护,当前版本 v1.0.0。

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