DeepWork Jobs Management

VerifiedSafe

Creates and manages multi-step AI workflows by defining job specifications, reviewing them, generating step instructions, and learning from past runs. Helps streamline complex tasks that require multiple AI steps, such as data processing or content generation pipelines.

Sby Skills Guide Bot
DevelopmentIntermediate
6/2/2026
Claude Code
#workflow#automation#multi-step#jobs#deepwork

Recommended for

Automated summary

Creates and manages multi-step AI workflows by defining, implementing, and improving DeepWork jobs.

Strengths

  • Automates complex processes through chained steps
  • Interactive job specification generation
  • Learns from conversations to refine instructions
  • Uses Skill tool to prevent copy-paste errors

Limitations

  • Requires prior understanding of DeepWork workflows
  • Depends on the Skill tool for correct execution
  • Can be rigid if steps must follow a fixed order
When to use it

Use this skill when you need to define a new multi-step workflow or improve an existing job based on execution feedback.

When not to use it

Do not use for simple one-step tasks or when you want to run an isolated command without workflow structure.

Security analysis

Safe
Quality score88/100

The skill orchestrates workflow management through a defined Skill tool, with no direct execution of dangerous commands or external system access. It does not instruct destructive actions, exfiltration, or obfuscation. The risk is minimal as it only guides users through creating and improving job specifications.

No concerns found

How this analysis is made

Examples

Define a new job
/deepwork_jobs define I need a workflow that first scans a codebase for TODOs, then generates a report, and finally creates issues in a tracker.
Learn from a job run
/deepwork_jobs learn Review the last conversation where we ran the 'report_gen' job and improve its instructions.
Implement from spec
/deepwork_jobs implement Generate the step instruction files for the job spec I just defined.

name: deepwork_jobs description: "Creates and manages multi-step AI workflows. Use when defining, implementing, or improving DeepWork jobs."

deepwork_jobs

Multi-step workflow: Creates and manages multi-step AI workflows. Use when defining, implementing, or improving DeepWork jobs.

CRITICAL: Always invoke steps using the Skill tool. Never copy/paste step instructions directly.

Core commands for managing DeepWork jobs. These commands help you define new multi-step workflows and learn from running them.

The define command guides you through an interactive process to create a new job by asking structured questions about your workflow, understanding each step's inputs and outputs, and generating all necessary files.

The learn command reflects on conversations where DeepWork jobs were run, identifies confusion or inefficiencies, and improves job instructions. It also captures bespoke learnings specific to the current run into AGENTS.md files in the working folder.

Available Steps

  1. define - Creates a job.yml specification by gathering workflow requirements through structured questions. Use when starting a new multi-step workflow.
  2. review_job_spec - Reviews job.yml against quality criteria using a sub-agent for unbiased validation. Use after defining a job specification. (requires: define)
  3. implement - Generates step instruction files and syncs slash commands from the job.yml specification. Use after job spec review passes. (requires: review_job_spec)
  4. learn - Analyzes conversation history to improve job instructions and capture learnings. Use after running a job to refine it.

Execution Instructions

Step 1: Analyze Intent

Parse any text following /deepwork_jobs to determine user intent:

  • "define" or related terms → start at deepwork_jobs.define
  • "review_job_spec" or related terms → start at deepwork_jobs.review_job_spec
  • "implement" or related terms → start at deepwork_jobs.implement
  • "learn" or related terms → start at deepwork_jobs.learn

Step 2: Invoke Starting Step

Use the Skill tool to invoke the identified starting step:

Skill tool: deepwork_jobs.define

Step 3: Continue Workflow Automatically

After each step completes:

  1. Check if there's a next step in the sequence
  2. Invoke the next step using the Skill tool
  3. Repeat until workflow is complete or user intervenes

Handling Ambiguous Intent

If user intent is unclear, use AskUserQuestion to clarify:

  • Present available steps as numbered options
  • Let user select the starting point

Guardrails

  • Do NOT copy/paste step instructions directly; always use the Skill tool to invoke steps
  • Do NOT skip steps in the workflow unless the user explicitly requests it
  • Do NOT proceed to the next step if the current step's outputs are incomplete
  • Do NOT make assumptions about user intent; ask for clarification when ambiguous

Context Files

  • Job definition: .deepwork/jobs/deepwork_jobs/job.yml

From the file to a first result

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Download SKILL.md

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2. Check prerequisites

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4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/deepwork-jobs-management-mm5t8a7s/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

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