anthropics/knowledge-work-plugins

interview-prep

Create structured interview plans with competency-based questions and scorecards.

查看源码

使用方法

  1. 复制安装命令,在自己的智能体环境安装前先检查源码包。
  2. 从原始文档核对所需工具、凭据和支持的宿主。
  3. 说明输入材料与期望交付物,并对照来源检查输出。
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill interview-prep

开始前需了解

  • 安装不包含模型订阅、API 额度或访问文件的权限。
  • 仓库星数和安装量反映活跃情况,不等于独立质量或安全测试。
仓库原始内容

按源仓库内容呈现,保留标题、案例、代码、表格、链接以及原文引用的演示图片。

Interview Prep

Create structured interview plans to evaluate candidates consistently and fairly.

Interview Design Principles

  1. Structured: Same questions for all candidates in the role
  2. Competency-based: Map questions to specific skills and behaviors
  3. Evidence-based: Use behavioral and situational questions
  4. Diverse panel: Multiple perspectives reduce bias
  5. Scored: Use rubrics, not gut feelings

Interview Plan Components

Role Competencies

Define 4-6 key competencies for the role (e.g., technical skills, communication, leadership, problem-solving).

Question Bank

For each competency, provide:

  • 2-3 behavioral questions ("Tell me about a time...")
  • 1-2 situational questions ("How would you handle...")
  • Follow-up probes

Scorecard

Rate each competency on a consistent scale (1-4) with clear descriptions of what each level looks like.

Debrief Template

Structured format for interviewers to share findings and make a decision.

Output

Produce a complete interview kit: panel assignment (who interviews for what), question bank by competency, scoring rubric, and debrief template.

按任务相关推荐

来自同一仓库

更多 Skills

全部 Skills
anthropics
官方

testing-strategy

Design test strategies and test plans. Trigger with "how should we test", "test strategy for", "write tests for", "test plan", "what tests do we need", or when the user needs help with testing approaches, coverage, or test architecture.

1小时安装量
1
GitHub Stars
3.4万
最近更新
10月31日
anthropics
官方

create-viz

Create publication-quality visualizations with Python. Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom.

1小时安装量
4
GitHub Stars
3.4万
最近更新
10月29日
anthropics
官方

data-visualization

Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.

1小时安装量
6
GitHub Stars
3.4万
最近更新
10月29日
anthropics
官方

brand-review

Review content against your brand voice, style guide, and messaging pillars, flagging deviations by severity with specific before/after fixes. Use when checking a draft before it ships, when auditing copy for voice consistency and terminology, or when screening for unsubstantiated claims, missing disclaimers, and other legal flags.

1小时安装量
2
GitHub Stars
3.3万
最近更新
10月24日