agentsclimarketplace

Mena hr payroll

Skill ArabAgentSkills/Skills/skills/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

Install
npx -y skills add ArabAgentSkills/Skills --skill mena-hr-payroll

Assembled 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

  1. Read sources.yml to see available vendors and confidence.
  2. If a vendor is named, read only vendors/<vendor-id>.md for that vendor.
  3. If choosing vendors, compare only vendors in this skill's registry: bayzat, jisr, menaitech, palm-hr, zenhr.
  4. Load references/integration-checklist.md only for implementation, review, or launch-readiness work.
  5. Use scripts/list-vendors.mjs for a deterministic vendor list when needed.
  6. 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, and references/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 access or Unknown 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.yml still 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

references/

scripts/

vendors/

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.

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