Notre avis
Crée et gère des workflows multi-étapes pour l'IA en définissant, implémentant et améliorant des jobs DeepWork.
Points forts
- Automatisation de processus complexes via des étapes enchaînées
- Génération interactive de spécifications de job
- Apprentissage automatique des conversations pour améliorer les instructions
- Invocation via outil Skill pour éviter les erreurs de copier-coller
Limites
- Nécessite une compréhension préalable des workflows DeepWork
- Dépend de l'outil Skill pour l'exécution correcte
- Peut être rigide si les étapes doivent être ordonnées
Utilisez ce skill lorsque vous devez définir un nouveau workflow multi-étapes ou améliorer un job existant à partir de retours d'exécution.
Ne l'utilisez pas pour des tâches simples en une étape ou lorsque vous voulez exécuter une commande isolée sans structure de workflow.
Analyse de sécurité
SûrThe 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.
Aucun point d'attention détecté
Exemples
/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./deepwork_jobs learn Review the last conversation where we ran the 'report_gen' job and improve its instructions./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
- define - Creates a job.yml specification by gathering workflow requirements through structured questions. Use when starting a new multi-step workflow.
- review_job_spec - Reviews job.yml against quality criteria using a sub-agent for unbiased validation. Use after defining a job specification. (requires: define)
- implement - Generates step instruction files and syncs slash commands from the job.yml specification. Use after job spec review passes. (requires: review_job_spec)
- 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:
- Check if there's a next step in the sequence
- Invoke the next step using the Skill tool
- 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
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