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Beisen Applicant Follow Up

Community
infometa
beisen-applicant-follow-up

北森应聘者跟进。用于查看应聘者当前进展、查询某职位下的申请列表、筛出待处理简历、查看面试中应聘者、跟进待发 Offer 应聘者、核对待入职应聘者、查看候选人申请详情。当用户询问候选人、应聘者、申请、简历筛选状态、面试阶段名单、Offer/入职状态或某个应聘者详情时使用。

Overview

Publisherinfometa
Repositoryworkbuddyskills
Skill namebeisen-applicant-follow-up
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 Applicant Follow Up 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-applicant-follow-up
  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-applicant-follow-up .claude/skills/beisen-applicant-follow-up
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Beisen Applicant Follow Up 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 Applicant Follow Up 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 Applicant Follow Up 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.

北森应聘者跟进

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

业务边界

处理进入招聘流程后的应聘者与申请记录:

  • 查看应聘者当前进展、所在阶段与状态。
  • 筛出某职位下待处理/未筛选简历。
  • 查看面试中、待发 Offer、待入职的应聘者。
  • 查看某个应聘者的申请详情。
  • 从招聘进展统计项下钻到具体申请明细。

不处理职位 JD 与职位详情;职位定位需要 jobId 时先使用 beisen-job-management。不处理人才库主动搜寻与职位 AI 推荐,走 beisen-talent-sourcing。不处理我的招聘待办总览,走 beisen-recruiting-todo。

命令

查询应聘者申请列表

bash
beisen-cli recruitment apply bs_search_apply_list --data '<json>'

常用入参:

  • jobId:职位 ID,必填,必须来自职位查询或招聘进展返回。
  • pageIndex、pageSize:分页参数,必填,页码从 0 开始。
  • name:按应聘者姓名搜索。
  • phaseName、statusName:按流程阶段/状态筛选,如“面试”“Offer环节”“面试中”。
  • filterResults:筛选结果,4 表示未筛选/待处理。
  • aiEvaluateResults:AI 简历评估结果,3 非常符合,5 基本符合,4 不符合。
  • interviewStatuses:面试状态,0 未安排,1 已安排。
  • offerStatuses:Offer 状态,0 待发 Offer,1 已发 Offer,2 已接受 Offer,3 已拒 Offer,5 已入职 Offer。
  • entryStatuses:入职状态,1 待入职,2 已入职。
  • signInStates:签到状态,1 未签到,2 已签到,3 未到场。
  • searchBatchId:招聘进展统计项返回的下钻批次 ID,必须与同一职位的 jobId 配套使用。

示例:

bash
beisen-cli recruitment apply bs_search_apply_list --data '{"jobId":"<jobId>","filterResults":[4],"pageIndex":0,"pageSize":30}'
beisen-cli recruitment apply bs_search_apply_list --data '{"jobId":"<jobId>","phaseName":"面试","pageIndex":0,"pageSize":30}'
beisen-cli recruitment apply bs_search_apply_list --data '{"jobId":"<jobId>","offerStatuses":[0],"pageIndex":0,"pageSize":30}'
beisen-cli recruitment apply bs_search_apply_list --data '{"jobId":"<jobId>","entryStatuses":[1],"pageIndex":0,"pageSize":30}'
beisen-cli recruitment apply bs_search_apply_list --data '{"jobId":"<jobId>","searchBatchId":"<searchBatchId>","pageIndex":0,"pageSize":30}'

返回读取:

  • data.items 是申请列表,通常含 applyId、applicantId、姓名、学历、学校、专业、最近公司、最近职位、工作年限、投递渠道、阶段状态、AI 评估结果、申请时间。
  • data.totalCount 是当前筛选条件下申请总数。
  • 若已展示条数小于 totalCount,提示用户可继续翻页。

查询候选人申请详情

bash
beisen-cli recruitment apply bs_get_apply_detail --data '{"applyIds":["<applyId>"]}'

规则:

  • applyId 必须来自申请列表、待办或招聘进展下钻结果,严禁编造。
  • 支持批量传多个 applyId。
  • 详情只用于回答用户关注的应聘者,不扩散无关候选人信息。

输出要求

  • 候选人/应聘者信息属于 L2 敏感数据,只展示业务摘要,不回显原始 JSON。
  • 列表建议展示:姓名、性别、年龄、工作年限、学历、毕业学校、专业、最近任职公司、最近任职职位、AI 评估结果、AI 评估理由、最初投递渠道、申请创建时间、所在阶段状态。
  • 只展示中文语义值,不展示字段名、枚举数字、内部 ID。
  • 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 Applicant Follow Up AI skill do?

北森应聘者跟进。用于查看应聘者当前进展、查询某职位下的申请列表、筛出待处理简历、查看面试中应聘者、跟进待发 Offer 应聘者、核对待入职应聘者、查看候选人申请详情。当用户询问候选人、应聘者、申请、简历筛选状态、面试阶段名单、Offer/入职状态或某个应聘者详情时使用。

Why use Beisen Applicant Follow Up on TypingMind?

Because you install it once and use it with any model. Beisen Applicant Follow Up 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 Applicant Follow Up in TypingMind?

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

Which AI models can use Beisen Applicant Follow Up?

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 Applicant Follow Up?

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

Is the Beisen Applicant Follow Up 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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