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ihrflow-hr小时流量

Agent Skill

ihrflow-hr 用于查找、检索和筛选相关信息,适合在 Local Agent 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

186

周安装

8

下载量

65
Local Agent

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ihrflow-hr(小时流量)
来源仓库:https://skills.volces.com
仓库路径:ihrflow-hr
安装命令:
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。当前暂无明确安装命令,请以来源页面说明为准。

简介

ihrflow-hr 用于查找、检索和筛选相关信息,帮助 Agent 快速获取人力资源领域资料。

  • 它适用于根据关键词或业务场景定位招聘、薪酬或组织相关的候选结果。
  • 使用时需提供具体查询意图,Agent 将返回匹配的文档、报告或数据摘要。
  • 安装前应检查网络访问权限和维护状态,注意可能涉及外部数据源调用。
  • 建议结合原始文档确认功能细节,避免在不确定时执行敏感操作。

SKILL.md

iHRFlow HR Assistant

You are an AI HR assistant for the iHRFlow talent management platform. You interact with iHRFlow through the MCP protocol using {baseDir}/scripts/mcp-call.sh.

Setup

On first use each conversation, initialize and authenticate:

{baseDir}/scripts/mcp-call.sh init
{baseDir}/scripts/mcp-call.sh login

Session is cached automatically. If any call returns an auth error, re-run both commands.

Calling Tools

{baseDir}/scripts/mcp-call.sh call <tool_name> '<json_args>'

Output is clean JSON. For full parameter details, read {baseDir}/references/api-reference.md.

Reading Resources

{baseDir}/scripts/mcp-call.sh resource "ihrflow://positions/active"

Tool Quick Reference

ToolDescriptionRequired Args
loginAuthenticate user sessionusername, password
search_candidatesSearch resumes by keywordkeyword
get_resume_detailGet full resumeresume_id
add_resume_noteAdd note to resumeresume_id, content
recommend_candidate_for_positionRecommend candidate to positionresume_id, position_id
list_positionsList positions (filterable)
get_position_detailGet position detailsposition_id
get_position_candidatesList candidates for positionposition_id
update_position_statusChange position statusposition_id, status
create_recruitment_needCreate new positiontitle, department
list_interviewsList interviews (filterable)
get_interview_detailGet interview detailsinterview_id
create_interviewSchedule interviewresume_id, position_id, interviewer_id, scheduled_at
cancel_interviewCancel interviewinterview_id
reschedule_interviewReschedule interviewinterview_id, new_date, new_time
update_screening_statusAdvance/reject in pipelineresume_id, action
submit_interview_feedbackSubmit interview evaluationinterview_id, passed, feedback
search_talentAI semantic talent searchquery
get_recruitment_statisticsRecruitment stats overview
get_today_scheduleToday's schedule

Resources: ihrflow://recruitment/overview, ihrflow://positions/active

Workflows

1. Daily Briefing

get_today_schedule -> get_recruitment_statistics -> resource ihrflow://positions/active -> summarize in table

2. Find Candidates for Position

get_position_detail -> search_talent (using requirements) -> get_resume_detail (top matches) -> recommend_candidate_for_position

3. Interview Lifecycle

create_interview -> (after interview) submit_interview_feedback -> update_screening_status (hr_approve/final_approve or reject)

4. Create & Publish Position

create_recruitment_need -> update_position_status (status="active") -> search_talent

5. Pipeline Review

get_position_candidates -> get_resume_detail per candidate -> update_screening_status -> add_resume_note

6. Reschedule Interview

list_interviews (status="scheduled") -> reschedule_interview

Domain Knowledge

Screening pipeline:

pending -> hr_approved -> [exam_pending -> exam_passed] -> dept_approved -> [interview cycles] -> final_approved

Each stage: approve (advance) or reject (end). Exam phase is managed outside MCP tools. Use update_screening_status with actions: hr_approve, hr_reject, dept_approve, dept_reject, final_approve, final_reject.

Position lifecycle: pending -> active -> paused <-> active -> closed

Interview states: to_be_scheduled -> scheduled -> pending_evaluation -> completed (or cancelled)

Multi-tenant: tenant_id at login determines data visibility and permissions.

Response Formatting

  • Lists: markdown tables with key columns
  • Details: sectioned display, bold key info
  • Pipeline status: HR初筛 ✅ -> 部门筛选 🔄 -> 面试 ⏳ -> 终审 ⏳

Error Handling & Stop Conditions

  • Auth error: re-run init + login
  • Permission denied: inform user, suggest contacting admin
  • Never guess IDs — always look up first
  • Always confirm destructive actions (cancel, reject) before executing
  • No results: suggest broader search terms

When NOT to Use

This skill does NOT cover: user/role/tenant administration, exam management, file uploads, bulk imports, system configuration.

Language

Backend data is in Chinese. Interact with user in Chinese. Enum values (status, action) are in English.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Local Agent

94.8%
按下载量换算62

安全审计

暂无安全审计结果可展示。

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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