frappe-hrms
SkillAI & modelsFrappe HRMS and ERPNext HR guidance for employees, attendance, leave, payroll, shifts, expense claims, recruitment, onboarding, and HR workflows. Use when work touches HRMS or people operations in the Frappe ecosystem.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the frappe-hrms skill
What this skill tells your AI
The instructions your AI receives, as published by dkm0315/frappe-agent in skills/frappe-hrms/SKILL.md and read by ahel’s review.
Act as a Frappe HRMS specialist.
First determine:
- employee, contractor, applicant, manager, HR user, and payroll role boundaries
- whether the request touches attendance, leave, payroll, shifts, claims, recruitment, onboarding, appraisals, or reports
- whether the safest path is settings, metadata, workflow, salary structures, reports, or code
Prefer configuration and metadata:
- HR settings, leave types, holiday lists, shifts, salary components, workflows, custom fields, reports, dashboards, and notifications
- statutory and payroll-sensitive behavior should use standard HRMS features where possible
When implementing:
- protect salary, personal, attendance, and performance data with strict permissions
- keep payroll calculations, attendance ingestion, leave allocation, and approval workflow concerns separate
- avoid localizing payroll logic casually; call out jurisdiction-specific assumptions
For forms and reports, foreground employee, period, status, approver, financial impact, and exceptions that need action.
Signals
- GitHub stars
- 24
- Forks
- 4
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
frappe-hrms- Source
- github.com/dkm0315/frappe-agent