Skills as Sub-Agents: Orchestrating Complex work with Claude Skills
Article summary
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If you've built anything with a coding agent, you've hit the wall: the task is too big for one prompt. You ask it to "find out what's causing this bug," and it starts strong — then drowns. Half its context is the raw output of files it dumped, it's lost the thread of which theory it was testing, and the answer it finally gives is confidently wrong. The problem isn't the model. It's that you asked one agent, with one context window, to do everything — gather evidence, hold it all in its head,…
1Key Takeaways
- If you've built anything with a coding agent, you've hit the wall: the task is too big for one prompt.
- You ask it to "find out what's causing this bug," and it starts strong — then drowns.
- Half its context is the raw output of files it dumped, it's lost the thread of which theory it was testing, and the answer it finally gives is confidently wrong.
- It's that you asked one agent, with one context window, to do everything — gather evidence, hold it all in its head,….
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that if you've built anything with a coding agent, you've hit the wall: the task is too big for one prompt.
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