Task Decomposition Skill for ChatGPT: Map Dependencies and Parallel Work
Break a goal into subtasks with clear outputs. Mark ordering and independent work, then describe how to combine and verify the results. Use it to draft a plan in chat.
中文Install in ChatGPT
Use an eligible ChatGPT workspace with permission to create skills and, for uploads, upload permission. The installation path for this text-only adaptation was checked against OpenAI documentation. Workspace runtime verification is pending.
- Download claude-plugin/design-agent-orchestration/skills/task-decomposition/SKILL.md from the pinned GitHub source. Keep the name, description, and instructions for task-decomposition together as a standalone text skill.
- In a ChatGPT workspace with skills and uploads enabled, open Plugins, Skills, Create, and Upload from your computer. Choose a skill package format accepted by the file picker. You can also choose Create with editor and enter the original name, description, and instructions.
- After the scan completes, check that task-decomposition appears in Installed. Type @ in a new chat, select the skill, and use the fictional example on this page to check the output.
Example task
Plan registration and a final attendee list for a fictional school event. A lead must confirm capacity before launch, a poster can be drafted in parallel, and the list can only be exported after registration closes. Ask for a task tree, dependencies, and assembly checks.What to check
Capacity confirmation should precede registration launch. The poster draft can run in parallel, and list export should wait for the closing time. Check deadline, capacity, and attendee counts at handoff.
Original SKILL.md on GitHub · Updated
Frequently asked question
How do I know a task is split too finely?
Combine steps that lack a standalone output and require repeated handoffs. Keep one clear acceptance result for the combined task.