Textprocessing — Meaning goes through Haiku

Invocation

Agent(subagent_type='gm:textprocessing', model='haiku', prompt='## INPUT\n<body>\n\n## INSTRUCTION\n<task>')

Background fire-and-forget: add run_in_background=true. Batch: N parallel Agent calls in one message, one per item.

The split

Mechanics stay in code: char/word/token/line counts, byte length, split on delimiter, exact-string find/replace, regex match/extract, sort, group-by-key, dedup-by-equality, lower/uppercase, JSON parse/stringify, base64, URL encode, hash, diff, format/pretty-print.

Meaning goes through this skill: summarize, classify, extract entities or intents, rewrite for tone or audience, translate, semantic dedup (same meaning, different words), rank or score by quality, label by topic, decide whether two texts are about the same thing, paraphrase, simplify, expand outline → prose, headline-from-body, body-from-headline, fact-from-passage, sentiment, toxicity, relevance, similarity-by-meaning.

The bar: would a human have to read and understand the text to do this correctly? Yes → skill. No → code. A keyword-list, a regex on phrases like "important", or a string-similarity ratio loop deciding meaning is a stub of this skill. Replace it with one (or N parallel) Agent calls.