Mena hr payroll
Use this skill when integrating Arab/MENA HR, payroll, attendance, employee, benefits, and workforce APIs or source leads including ZenHR, Jisr, MenaITech, Bayzat, Palm.hr, and government workforce rails.From its SKILL.md
npx -y skills add ArabAgentSkills/Skills --skill mena-hr-payrollAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- 9 stars9 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
- runs commandsInstructs the agent to run 1 command, including `scripts/list-vendors.mjs`.
SKILL.md
3.9 KB, 795 tokens by cl100k_base, as published. Nobody here has run it
MENA HR and Payroll
When To Use
Use this skill for hr-payroll work in Arab/MENA contexts, especially when the prompt includes: HR, payroll, employee, attendance, ZenHR, Jisr, MenaITech, Bayzat.
When Not To Use
- Do not alter payroll or employee records without approval.
- Do not infer legal payroll rules.
Required Inputs
- Country or market.
- Target vendor, if already selected.
- Desired workflow: vendor selection, implementation, review/debugging, launch readiness, or source research.
- Sandbox vs production state.
- Whether live customer, payment, tax, identity, bank, or payroll data is involved.
Common Workflows
- Classify the flow as employee sync, payroll, attendance, benefits, leave, or compliance.
- Check docs access because many HR APIs are partner-gated.
- Avoid unsupported payroll/tax claims.
- Return privacy and access-control checks.
Default Workflow
- Read
sources.ymlto see available vendors and confidence. - If a vendor is named, read only
vendors/<vendor-id>.mdfor that vendor. - If choosing vendors, compare only vendors in this skill's registry: bayzat, jisr, menaitech, palm-hr, zenhr.
- Load
references/integration-checklist.mdonly for implementation, review, or launch-readiness work. - Use
scripts/list-vendors.mjsfor a deterministic vendor list when needed. - Answer with source-backed facts, explicit unknowns, and validation steps.
Decision Tree
- Named vendor: read that vendor file, then answer narrowly.
- Vendor selection: filter by country, docs access, maturity, and source quality before recommending.
- Implementation: include auth, sandbox, webhook/callback, retries, idempotency, logging, and error handling only where source-backed.
- Review/debugging: compare the user's plan or code against the vendor file,
sources.yml, andreferences/integration-checklist.md. - Source research: update facts only when an official source, developer portal, GitHub repo, OpenAPI/Postman asset, or government source supports the claim.
- Missing docs: say
Needs vendor accessorUnknown from public docs.
Response Contract
- Start by naming the skill file and vendor/reference files used.
- Give a short recommendation or implementation path before details.
- Separate source-backed facts from assumptions and unknowns.
- Include country/market fit, docs access, docs confidence, and source-quality caveats when selecting vendors.
- Include a validation checklist with sandbox/test steps, rollback or retry notes, and manual approval gates for high-risk work.
- Never provide live-action instructions that move money, tax documents, bank data, identity data, payroll data, or outbound messages without explicit human approval.
Files To Read
- Routing and process:
SKILL.md. - Vendor facts:
vendors/*.md. - Source map:
sources.yml. - Implementation review:
references/integration-checklist.md. - Example response style:
examples/source-backed-answer.md.
Safety Rules
- Treat payroll and employee PII as high-risk.
- Use least-privilege API access.
- Mask employee data in examples.
- Keep audit logs for sync writes.
Validation Checklist
- Vendor facts map back to
source_urls. - Unknowns are labeled instead of guessed.
- Sandbox and production are separated.
- Secrets are not printed or committed.
- High-risk live actions require explicit human approval.
- Evals in
evals/prompts.ymlstill cover the changed workflow.
Done Criteria
- The answer names the files read or source-backed references used.
- The implementation plan includes tests and rollback/verification steps.
- No unsupported regional, API, compliance, pricing, or endpoint claims are included.
What ships with it: 12 files
13.9 KB alongside SKILL.md, 1 of them executable
evals/
- expected_behaviors.yml716 B
- prompts.yml716 B
examples/
- source-backed-answer.md1.3 KB
references/
- integration-checklist.md1.2 KB
scripts/
- list-vendors.mjsruns370 B
vendors/
- bayzat.md1.6 KB
- jisr.md1.5 KB
- menaitech.md1.5 KB
- palm-hr.md1.4 KB
- zenhr.md1.5 KB
- README.md946 B
- sources.yml1.2 KB
Gives 0 of the 12 instructions most hr recruiting skills give in 795 tokens
Counted across 356 of the 357 authors here whose files we hold, read 2026-08-07
- Quantify achievements with specific metricsin 14 of 356, across 6 files
- Keep the resume under two pagesin 14 of 356, across 6 files
- Request the full job description if not providedin 12 of 356, across 4 files
- Extract keywords and prioritize job requirementsin 12 of 356, across 4 files
- Stop and ask for clarification if required inputs are missingin 12 of 356, across 5 files
- Map candidate experience to job requirementsin 11 of 356, across 3 files
- Ask if the user wants adjustmentsin 11 of 356, across 3 files
- Provide strengths and gap analysis after the resumein 10 of 356, across 2 files
- Request candidate background details if not providedin 10 of 356, across 2 files
- Format experience bullets as action verb plus resultin 10 of 356, across 2 files
- Ask for missing inputs before startingin 10 of 356, across 9 files
- Use exact job description terminologyin 9 of 356, across 1 file
Said here and by no other author read
- name the skill and vendor files used
- give a short recommendation before details
- answer with source-backed facts only
- label unknowns instead of guessing
- compare only vendors in the skill registry
- mask employee data in examples
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.