deepwork_jobs.review_job_spec

Review DeepWork job.yml specifications against nine quality criteria.

1|Updated Jun 30, 2025
One-click install
npx skills add https://github.com/EONMUN/EONMUN --skill deepwork-jobs-review-job-spec
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deepwork_jobs.review_job_spec
Source: https://github.com/EONMUN/EONMUN/tree/main/.claude/skills/deepwork_jobs.review_job_spec
Command: npx skills add https://github.com/EONMUN/EONMUN --skill deepwork-jobs-review-job-spec

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates an unbiased review of a DeepWork job specification by using a sub-agent to validate the job.yml against the documentation spec, catching issues before implementation.

Core Features & Use Cases

  • Sub-agent driven evaluation to ensure quality criteria are met without bias from the main agent.
  • Iterative fix loop: identify failures, propose changes, and re-run reviews until all criteria pass.
  • Useful for teams creating and validating DeepWork workflows to maintain quality gates for job definitions.

Quick Start

  1. Provide a .deepwork job.yml through the usual define flow and trigger the review step.
  2. Spawn a sub-agent to evaluate the job.yml against the doc spec quality criteria.
  3. If criteria fail, update the job.yml and re-run the review until all criteria pass.

Frequently Asked Questions about deepwork_jobs.review_job_spec

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate a quality review for a DeepWork job specification?

Automate a DeepWork job specification review by spawning a sub-agent to evaluate the job.yml file against nine quality criteria, ensuring doc spec compliance. It identifies failures and iteratively proposes fixes until the specification passes all validation checks.

What quality criteria are enforced when validating a job.yml file?

Validating a job.yml file enforces nine quality criteria: valid identifier, semantic version, concise summary, rich description, changelog, complete steps, valid dependencies, input consistency, and output paths. The sub-agent checks each rule against the doc spec.

How does the sub-agent fix failing job spec reviews?

The sub-agent fix loop identifies failed quality criteria, proposes updates to the job.yml definition, and re-runs the review. This iterative process repeats until all nine doc spec validation rules pass without bias from the main agent.

Can I use an automated reviewer to check DeepWork workflow dependencies and output paths?

You can check DeepWork workflow dependencies and output paths using an automated sub-agent reviewer. It specifically validates dependency definitions and verifies output path consistency as part of the nine enforced job spec quality criteria.

Why use a sub-agent for job spec validation instead of a manual review?

Sub-agent job spec validation provides an unbiased review of the job.yml file, removing main agent bias. It systematically enforces documentation spec rules and automates the iterative fix loop for faster workflow quality gate approval.