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deepwork-jobs

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

Unsupervisedcom☆ 9 仓库 Stars1 仓库 Forks

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

查看来源 ↗使用指南

技能说明

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

使用示例

查看来源仓库中的使用示例与配置说明。

查看来源 ↗

来源历史

收录时间
2026-01-20
索引更新时间
2026-02-05
Branch
main

收录与同步日期属于本站记录。源码修改历史请查看来源仓库。

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