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Beisen Recruiting Todo

Community
infometa
beisen-recruiting-todo

北森招聘待办。用于汇总我的招聘事项、查看待筛选简历数量、待评价面试、待参加面试、确认近期面试日程,以及展示当前用户招聘待办清单。当用户问我有什么招聘待办、待处理简历、待评价面试、今天或近期有没有面试、面试日程时使用。

Overview

Publisherinfometa
Repositoryworkbuddyskills
Skill namebeisen-recruiting-todo
Stars
376
Forks
124
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by infometa on GitHub. Read the source before you install it.

Installation

Install the Beisen Recruiting Todo AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/infometa/workbuddyskills/tree/main/connectors/beisen-cli/skills/beisen-recruiting-todo
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/infometa/workbuddyskills.git /tmp/workbuddyskills
mkdir -p .claude/skills
cp -r /tmp/workbuddyskills/connectors/beisen-cli/skills/beisen-recruiting-todo .claude/skills/beisen-recruiting-todo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Beisen Recruiting Todo in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Beisen Recruiting Todo on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Beisen Recruiting Todo is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

北森招聘待办

开始前读取 ../beisen-shared/SKILL.md 并完成共享前置检查。

业务边界

处理当前用户自己的招聘事项:

  • 汇总我的招聘待办。
  • 查看待筛选简历、待评价面试、待参加面试数量。
  • 确认近期面试日程、面试方式、时间、地点和会议链接。

不处理候选人完整申请详情;需要详情时用 applyId 转到 beisen-applicant-follow-up。不处理团队/整体招聘进展,走 beisen-recruitment-demand-management。

命令

bash
beisen-cli interview interviewerTodo getInterviewerTodo --data '<json>'

入参:

  • dateRange:预设周期,1 最近 1 个月,2 最近 3 个月,3 近半年。不传时各待办类型使用默认范围:待筛选简历/待评价面试默认过去 3 个月,待参加面试默认未来 7 天。
  • startDate、endDate:自定义日期,必须成对使用,优先于 dateRange。
  • todoTypes:待办类型列表,1 待筛选简历,2 待评价面试,3 待参加面试。不传则查询全部。

示例:

bash
beisen-cli interview interviewerTodo getInterviewerTodo --data '{}'
beisen-cli interview interviewerTodo getInterviewerTodo --data '{"todoTypes":[2,3]}'
beisen-cli interview interviewerTodo getInterviewerTodo --data '{"dateRange":2}'

返回读取:

  • pendingResumeCount:待筛选简历数量。
  • pendingInterviewEvaluationCount:待评价面试数量。
  • pendingInterviewCount:待参加面试数量。
  • pendingInterviews:待参加面试列表,含候选人、申请 ID、职位、面试轮次、方式、开始/结束时间、地点、会议链接。

输出要求

  • 先给待办数量总览,再用表格列出近期面试。
  • 面试列表建议展示:候选人、职位、面试轮次、方式、开始时间、结束时间、地点、会议链接。
  • 候选人信息属于 L2 敏感数据,仅展示待办所需摘要,不回显原始 JSON。
  • 不要把“我安排的面试”与“我需要参加/评价的面试”混成同一种责任;按工具返回口径说明。
  • 禁止生成 JSON 文件;若生成 CSV,表头必须使用中文。

Frequently asked questions

What does the Beisen Recruiting Todo AI skill do?

北森招聘待办。用于汇总我的招聘事项、查看待筛选简历数量、待评价面试、待参加面试、确认近期面试日程,以及展示当前用户招聘待办清单。当用户问我有什么招聘待办、待处理简历、待评价面试、今天或近期有没有面试、面试日程时使用。

Why use Beisen Recruiting Todo on TypingMind?

Because you install it once and use it with any model. Beisen Recruiting Todo is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Beisen Recruiting Todo in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/infometa/workbuddyskills/tree/main/connectors/beisen-cli/skills/beisen-recruiting-todo. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Beisen Recruiting Todo?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Beisen Recruiting Todo?

As many as you like. As long as a model supports skills, you can use Beisen Recruiting Todo with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Beisen Recruiting Todo AI skill free?

It is published on GitHub by infometa. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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