全年全国居民人均可支配收入43377元，比上年增长5.0%，扣除价格因素，实际增长5.0%。全国居民人均可支配收入中位数[63]36231元，增长4.4%。按常住地分，城镇居民人均可支配收入56502元，比上年增长4.3%，扣除价格因素，实际增长4.2%。城镇居民人均可支配收入中位数51115元，增长3.7%。农村居民人均可支配收入24456元，比上年增长5.8%，扣除价格因素，实际增长6.0%。农村居民人均可支配收入中位数20711元，增长5.6%。城乡居民人均可支配收入比值为2.31，比上年缩小0.03。按全国居民五等份收入分组[64]，低收入组人均可支配收入10150元，中间偏下收入组人均可支配收入22702元，中间收入组人均可支配收入35536元，中间偏上收入组人均可支配收入55586元，高收入组人均可支配收入103778元。全国农民工人均月收入5075元，比上年增长2.3%。脱贫县[65]农村居民人均可支配收入18627元，比上年增长6.3%，扣除价格因素，实际增长6.5%。
Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.
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