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Interview Agenda Builder

该技能用于招聘流程中,根据 interview_plan(含候选人ID、已匹配/缺失必备项、面试主题)生成结构化面试议程,输出 agenda_artifact(含议程ID、候选人ID和Markdown)。适合招聘人员把主题计划快速整理成可交接的面试议程。可通过 Python 脚本本地运行;配置交付目标时可发送或注册并返回回执,未配置则仅生成本地工件。

wxt-ai
wxt-ai
热度 39.92
最近更新 2026-10-05 21:23:21
分类:效率依赖:代码执行 / 读写文件 / 第三方 API应用场景:会议纪要 / 日程安排

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-workbench
Metadata
name
candidate-interview-agenda-workbench
description
Build an interview agenda.
version
1.1.1
metadata
{"openclaw":{"skillKey":"candidate-interview-agenda-workbench"}}

Interview Agenda Builder

Use this skill for routine recruiting operations work when the user asks to build an interview agenda.

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: interview_plan

Role-focused topic plan prepared for an interview handoff.

Accepted value: object with candidate_id, matched_required, missing_required, topics.

Output

Field: agenda_artifact

Return a concise agenda artifact for the user's current request in the requested output field. The returned value is a object with agenda_id, candidate_id, markdown.

Example Request

Use the supplied interview_plan to build an interview agenda.
Return the result in agenda_artifact.

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 --output-dir ./workspace

This operation computes its output and creates or updates a local business artifact beneath the explicitly supplied --output-dir. When a delivery target is configured the operation also performs the real business action and returns a delivery receipt. Effect: local_interview_agenda_render.

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. Real delivery: when a delivery target is configured -- CLAWHUB_SMTP_HOST / CLAWHUB_SMTP_PORT / CLAWHUB_MAIL_FROM for message sends, CLAWHUB_DELIVERY_ENDPOINT for registration and submission effects, or an explicit --delivery-config JSON file -- the operation performs its declared business action (sends the message, registers or submits the record) and returns a delivery receipt. Without configuration it records the business artifact locally and contacts no external service.