Self-managed-context skill outlines a way for agents to edit their working context

The post says the skill teaches agents to edit a conversation file between model calls while keeping system instructions and the original task protected. In a small log-analysis test, the self-managed and forced-summary GPT-5.4 setups each solved three of three runs; keeping everything overflowed three times. Self-management re-processed about 24% fewer prompt tokens than forced summarization on GPT-5.4, but saved nothing on GPT-4.1. The author notes that loading the skill into a fixed harness alone won’t enable live context editing.