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Paquete de agente

Workflow and Job Scheduling Engineer (Python)

Builds workflow orchestration and scheduled jobs with Python so message delivery, trigger logic, and automation pipelines run dependably.

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Rutas

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Agent ID i4-workflow-and-job-scheduling-engineer-python
Raíz destino ~/.openclaw/agents/i4-workflow-and-job-scheduling-engineer-python
Config entry config/openclaw.agent.i4-workflow-and-job-scheduling-engineer-python.entry.json
Contenido

Qué trae la carpeta

  • Raíz de workspace: ~/.openclaw/agents/i4-workflow-and-job-scheduling-engineer-python/workspace
  • Dir del agente: ~/.openclaw/agents/i4-workflow-and-job-scheduling-engineer-python/agent
  • Config entry: config/openclaw.agent.i4-workflow-and-job-scheduling-engineer-python.entry.json
  • Config snippet: config/openclaw.agent.i4-workflow-and-job-scheduling-engineer-python.snippet.json
  • Ruta en el repo: categories/industry-4-digital-marketing-agency/agents/marketing-automation-engineering/i4-workflow-and-job-scheduling-engineer-python

README

Workflow and Job Scheduling Engineer (Python)

A shareable OpenClaw agent folder package for Workflow and Job Scheduling Engineer (Python).

Package identity

  • Agent ID: i4-workflow-and-job-scheduling-engineer-python
  • Industry: industry-4-digital-marketing-agency
  • Role family: marketing-automation-engineering
  • Package version: 0.1.0
  • Recommended model: openai-codex/gpt-5.4

Included

  • workspace/ — agent workspace files and persona docs
  • workspace/skills/ — bundled agent-specific skills
  • config/ — install-ready config entry + snippet + secrets checklist
  • INSTALL.md — target machine installation steps
  • PACKAGE.json — package metadata for GitHub/library use

Bundled skills

  • coding-agent

Install

See INSTALL.md.

Important note

This repository path is a library/catalog location. After copying this package to a target machine, the intended install path is:

~/.openclaw/agents/i4-workflow-and-job-scheduling-engineer-python

Instrucciones de instalación

Install Workflow and Job Scheduling Engineer (Python)

Goal

Install this shareable OpenClaw agent folder package on a target machine.

Target location

Copy this folder to:

~/.openclaw/agents/i4-workflow-and-job-scheduling-engineer-python

The final installed layout should look like:

~/.openclaw/agents/i4-workflow-and-job-scheduling-engineer-python/
  workspace/
  config/
  INSTALL.md
  PACKAGE.json

Steps

  1. Copy this entire folder to ~/.openclaw/agents/i4-workflow-and-job-scheduling-engineer-python.
  2. Open config/openclaw.agent.i4-workflow-and-job-scheduling-engineer-python.entry.json.
  3. Append that JSON object to agents.list in the target machine's ~/.openclaw/openclaw.json.
  4. If you prefer a wrapper snippet, merge config/openclaw.agent.i4-workflow-and-job-scheduling-engineer-python.snippet.json into the target config instead.
  5. Review config/SECRETS.md and fill in the target machine's provider credentials or channel tokens.
  6. Restart OpenClaw Gateway.

Skill loading

This package keeps bundled skills under:

~/.openclaw/agents/i4-workflow-and-job-scheduling-engineer-python/workspace/skills

OpenClaw loads agent-specific skills from workspace/skills/, so no extra global skill copy step is required for the bundled skills in this package.

Config paths used by this package

  • workspace: ~/.openclaw/agents/i4-workflow-and-job-scheduling-engineer-python/workspace
  • agentDir: ~/.openclaw/agents/i4-workflow-and-job-scheduling-engineer-python/agent

Not included

This package does not include:

  • provider secrets or API keys
  • login state or channel auth sessions
  • routing bindings specific to the recipient's environment
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