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Candidate Skills Mapper

该 Skill 用于招聘场景,根据提供的候选人档案与角色信息,生成结构化面试计划,包含候选人 ID、已匹配的必备技能、缺失的必备技能和面试主题。通过本地 Python 脚本执行,仅根据当前请求计算并返回结果,不访问外部服务或持久化业务产物。

wxt-ai
wxt-ai
热度 40.34
最近更新 2026-10-05 21:23:15
分类:协作依赖:代码执行 / 读写文件应用场景:任务管理 / 报告撰写 / 推荐

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add candidate-interview-agenda-identifier
Metadata
name
candidate-interview-agenda-identifier
description
Map candidate skills to an interview plan.
version
1.1.1
metadata
{"openclaw":{"skillKey":"candidate-interview-agenda-identifier"}}

Candidate Skills Mapper

Use this skill for routine recruiting operations work when the user asks to map candidate skills to an interview plan.

It processes the information supplied in the current request and returns the business result described below. It does not require credentials or access to private files.

Input

Field: candidate_profile_yaml

Candidate and role profile supplied for interview planning.

Accepted value: string or object with candidate_id, profile, role.

Output

Field: interview_plan

Return a concise interview plan for the user's current request in the requested output field. The returned value is a object with candidate_id, matched_required, missing_required, topics.

Example Request

Use the supplied candidate_profile_yaml to map candidate skills to an interview plan.
Return the result in interview_plan.

Bundled execution

Use Python 3.10 or newer to run this operation from the installed package directory. Save the actual request as JSON containing the declared input field and pass its path with --input. The bundled example demonstrates the input shape.

python scripts/run.py --input examples/request.json

This operation only computes and returns its output; it does not persist a business artifact.

Report the actual command output and, when present, its effect receipt. A nonzero exit means the operation failed. This package executes only its declared operation.

The implementation is scripts/operation.py, input/output validation is scripts/validation.py, and role configuration is scripts/config.json. All Python dependencies are from the standard library. Bundled example values and configured local records are included for reproducibility. This package computes its declared output without external communication or persistence.