AI Agent Dynamic Workflows

Use this skill to turn a large task into a supervised AI-agent workflow: draft an orchestration artifact, enter goal mode when sustained execution is requested, delegate disjoint work to subagents when available, integrate results, verify the outcome, and save reusable workflow artifacts.

This skill works in agents that support skills. Do not claim that a local script can call subagent tools unless the current environment exposes such a runner. When no programmable runner exists, create a human-readable orchestration script and operate it through the available agent tools.

Decision Rule

Use dynamic orchestration when at least two are true:

• The task has independent research, coding, review, migration, QA, docs, or design tracks.
• The task is broad enough that an explicit success contract would reduce drift.
• The task has risk: destructive edits, external writes, deploys, secrets, production data, billing, user accounts, or large repo-wide changes.
• Verification benefits from a separate pass from implementation.
• The workflow could become a reusable recipe for future tasks.
• The user explicitly asks for a dynamic workflow, swarm, subagents, parallel agents, or Claude Code-style workflow.

If the task is small, do it directly and mention that full workflow orchestration was unnecessary.