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Hr Automation

Organization
claude-office-skills
hr-automation

HR workflow automation - recruiting, onboarding, employee management, and offboarding processes

Overview

Publisherclaude-office-skills
Repositoryskills
Skill namehr-automation
Stars
514
Forks
97
Bundled files
Instructions only
LicenseMIT
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 claude-office-skills on GitHub. Read the source before you install it.

Installation

Install the Hr Automation 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/claude-office-skills/skills/tree/main/hr-automation
  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/claude-office-skills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/hr-automation .claude/skills/hr-automation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hr Automation 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 Hr Automation 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 Hr Automation 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.

HR Automation

Automate HR workflows including recruiting, onboarding, employee management, and offboarding. Based on n8n's HR workflow templates.

Overview

This skill covers:

  • Recruiting pipeline automation
  • Employee onboarding workflows
  • Performance review cycles
  • Time-off management
  • Offboarding processes

Recruiting Automation

Applicant Pipeline

yaml
recruiting_pipeline:
  stages:
    - applied
    - screening
    - phone_interview
    - technical_interview
    - onsite_interview
    - offer
    - hired
    
  automations:
    new_application:
      trigger: application_received
      actions:
        - send_confirmation: to_candidate
        - notify_recruiter: slack
        - add_to_tracking: airtable
        - ai_resume_screen: if_enabled
        
    stage_change:
      trigger: candidate_moved
      actions:
        - update_candidate: in_ats
        - notify_team: relevant_interviewers
        - send_email: stage_specific_template
        
    interview_scheduled:
      trigger: calendar_event_created
      actions:
        - send_confirmation: to_candidate
        - send_prep_materials: to_interviewers
        - create_scorecard: in_system

AI Resume Screening

yaml
ai_screening:
  model: gpt-4
  
  prompt: |
    Review this resume for the {job_title} position.
    
    Job Requirements:
    {job_requirements}
    
    Resume:
    {resume_text}
    
    Evaluate:
    1. Skills match (1-10)
    2. Experience match (1-10)
    3. Key strengths
    4. Potential concerns
    5. Recommended: Yes/No/Maybe
    
  automation:
    - if: score >= 8
      action: advance_to_screening
    - if: score 5-7
      action: flag_for_review
    - if: score < 5
      action: auto_reject + send_rejection

Interview Scheduling

yaml
interview_scheduling:
  workflow:
    1. candidate_advances:
        trigger: stage_change_to_interview
        
    2. check_availability:
        interviewers: from_hiring_plan
        candidate: request_via_email
        
    3. find_slots:
        algorithm: first_available_matching
        buffer: 15_minutes_between
        
    4. send_invites:
        to: [candidate, interviewers]
        include: [zoom_link, calendar_invite, prep_docs]
        
    5. reminders:
        - 24h_before: all_parties
        - 1h_before: all_parties
        
    6. post_interview:
        - collect_feedback: from_interviewers
        - aggregate_scores
        - trigger_next_stage: if_approved

Onboarding Automation

New Hire Workflow

yaml
onboarding_workflow:
  trigger: offer_accepted
  duration: 30_days
  
  pre_start:
    day_minus_14:
      - send_welcome_email
      - collect_documents: [id, tax_forms, direct_deposit]
      - order_equipment: laptop, peripherals
      
    day_minus_7:
      - create_accounts: [email, slack, tools]
      - add_to_systems: hris, payroll
      - schedule_orientation
      - assign_buddy
      
    day_minus_1:
      - setup_desk: if_office
      - ship_equipment: if_remote
      - send_first_day_info
      
  first_day:
    morning:
      - welcome_meeting: with_manager
      - it_setup: credentials, tools
      - team_introductions
      
    afternoon:
      - hr_orientation: policies, benefits
      - access_verification
      - buddy_lunch
      
  first_week:
    - daily_checkins: with_manager
    - tool_training: as_needed
    - team_meetings: join_all
    - documentation_review
    
  first_month:
    - weekly_1on1s: with_manager
    - project_assignment
    - goal_setting
    - 30_day_survey

Onboarding Checklist Automation

yaml
onboarding_checklist:
  employee_tasks:
    - complete_i9: deadline_day_3
    - setup_direct_deposit: deadline_day_7
    - complete_benefits_enrollment: deadline_day_30
    - review_handbook: deadline_day_7
    - complete_training: deadline_day_14
    
  manager_tasks:
    - introduce_to_team: day_1
    - assign_onboarding_buddy: day_1
    - set_30_60_90_goals: week_1
    - schedule_recurring_1on1s: week_1
    - provide_project_context: week_1
    
  it_tasks:
    - create_email: day_minus_1
    - provision_tools: day_minus_1
    - setup_hardware: day_1
    - grant_system_access: day_1
    - security_training: week_1
    
  notifications:
    incomplete_task:
      - remind_owner: at_50%_deadline
      - remind_owner: at_80%_deadline
      - escalate: at_100%_deadline

Employee Management

Time-Off Requests

yaml
pto_workflow:
  request:
    trigger: employee_submits_request
    fields: [start_date, end_date, type, reason]
    
  approval:
    routing:
      - if: days <= 3
        approver: direct_manager
      - if: days > 3
        approver: [manager, hr]
        
    automation:
      - notify_approver: slack_dm
      - set_deadline: 48_hours
      - if_no_response: escalate
      
  approved:
    actions:
      - update_calendar: block_dates
      - notify_team: upcoming_pto
      - update_hris: deduct_balance
      - send_confirmation: to_employee
      
  denied:
    actions:
      - notify_employee: with_reason
      - log_denial: for_compliance

Performance Reviews

yaml
performance_review_cycle:
  schedule: quarterly
  
  workflow:
    week_1:
      - launch_cycle: notify_all
      - self_assessment: open
      
    week_2:
      - self_assessment: deadline
      - peer_feedback: open
      
    week_3:
      - peer_feedback: deadline
      - manager_review: open
      
    week_4:
      - manager_review: deadline
      - calibration: hr_and_leadership
      - finalize_ratings
      
    week_5:
      - deliver_reviews: manager_meetings
      - goal_setting: next_quarter
      
  automation:
    reminders:
      - 3_days_before_deadline: gentle
      - 1_day_before: urgent
      - overdue: daily_until_complete
      
    analytics:
      - completion_rates
      - score_distribution
      - feedback_themes

Offboarding

Offboarding Workflow

yaml
offboarding_workflow:
  trigger: resignation_submitted OR termination
  
  immediate:
    - acknowledge_resignation: to_employee
    - notify_hr: for_processing
    - notify_manager: for_transition_planning
    - notify_it: for_access_review
    
  planning_phase:
    - calculate_final_pay
    - schedule_exit_interview
    - create_transition_plan
    - document_knowledge_transfer
    
  last_week:
    - knowledge_transfer: sessions
    - collect_equipment
    - remove_system_access: scheduled
    - update_team_distribution
    
  last_day:
    - exit_interview: hr
    - return_badge_keys
    - revoke_all_access
    - send_farewell: if_voluntary
    
  post_departure:
    - process_final_paycheck
    - send_benefits_info: cobra
    - archive_files
    - offboarding_survey: 30_days_later

Access Revocation

yaml
access_revocation:
  immediate_on_termination:
    - email: disable
    - sso: revoke
    - vpn: revoke
    - physical_access: revoke
    - company_credit_cards: cancel
    
  within_24_hours:
    - tool_licenses: remove
    - shared_drives: transfer_ownership
    - code_repositories: remove
    - customer_systems: remove
    
  audit:
    - document_all_revocations
    - verify_no_remaining_access
    - compliance_report

Compliance Tracking

Document Management

yaml
document_compliance:
  required_documents:
    - i9: deadline_3_days
    - w4: deadline_first_payroll
    - emergency_contact: deadline_7_days
    - direct_deposit: deadline_first_payroll
    - handbook_acknowledgment: deadline_7_days
    - benefits_election: deadline_30_days
    
  tracking:
    - notify_employee: missing_docs
    - notify_hr: compliance_risk
    - escalate: after_deadline
    
  storage:
    - location: secure_hris
    - retention: per_legal_requirements
    - access: hr_only

Output Example

Request: "Create an employee onboarding checklist automation"

Output:

markdown
# Employee Onboarding Automation

## Trigger
New hire added to HRIS (e.g., BambooHR, Workday)

## Pre-Start Checklist

### Day -14
- [ ] Send welcome email
- [ ] Collect: ID, Tax forms, Banking info
- [ ] Order laptop & equipment

### Day -7
- [ ] Create email account
- [ ] Create Slack account
- [ ] Add to HRIS
- [ ] Schedule orientation
- [ ] Assign buddy

### Day -1
- [ ] Ship/setup equipment
- [ ] Send Day 1 instructions
- [ ] Prepare workspace (if office)

## Day 1 Checklist

### Morning
- [ ] Manager welcome (9am)
- [ ] IT setup (10am)
- [ ] Team introductions

### Afternoon
- [ ] HR orientation (1pm)
- [ ] Buddy lunch
- [ ] Tool walkthroughs

## Notifications

```yaml
overdue_task:
  - 50% deadline: Friendly reminder
  - 80% deadline: Urgent reminder
  - 100% deadline: Escalate to manager

n8n Workflow

yaml
trigger: New employee in BambooHR
actions:
  - Create accounts (Google, Slack)
  - Add to Notion onboarding tracker
  - Send Slack welcome
  - Schedule calendar events
  - Create task checklist in Asana

---

*HR Automation Skill - Part of Claude Office Skills*

Frequently asked questions

What does the Hr Automation AI skill do?

HR workflow automation - recruiting, onboarding, employee management, and offboarding processes

Why use Hr Automation on TypingMind?

Because you install it once and use it with any model. Hr Automation 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 Hr Automation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/claude-office-skills/skills/tree/main/hr-automation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hr Automation?

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 Hr Automation?

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

Is the Hr Automation AI skill free?

Yes. It is published on GitHub by claude-office-skills under the MIT license. 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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