deepwork_jobs
OfficialOrchestrate multi-step AI workflows end-to-end.
AuthorEONMUN
Version1.0.0
Installs0
System Documentation
What problem does it solve?
DeepWork job orchestration is complex and repetitive. This Skill provides a structured approach to define, implement, and improve multi-step AI workflows, reducing errors and speeding development.
Core Features & Use Cases
- Define: Create a complete job.yml by asking structured questions about the workflow, inputs, and outputs so teams can capture precise requirements.
- Review: Validate the job specification with a sub-agent to ensure quality and compliance before implementation.
- Implement: Generate step instruction files and synchronize commands from the job.yml to deploy and execute the workflow.
- Learn: Analyze past runs to identify improvements and store bespoke learnings in AGENTS.md for future runs.
- Use Case: When building a complex AI pipeline (e.g., data collection -> preprocessing -> model training -> evaluation), use this Skill to define, verify, implement, and refine the workflow.
Quick Start
Use the Skill tool to start by defining a new DeepWork job:
- Skill tool: deepwork_jobs.define
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: deepwork_jobs Download link: https://github.com/EONMUN/EONMUN/archive/main.zip#deepwork-jobs Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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