Edit drafts to remove predictable AI writing patterns, including filler, formulaic contrasts, and vague claims. Make prose more direct and specific, vary sentence rhythm, and assess quality across five dimensions.
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Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.
安装前可以查看交给 AI 代理的指令内容。
Eliminate predictable AI writing patterns from prose.
Cut filler phrases. Remove throat-clearing openers, emphasis crutches, and all adverbs. See references/phrases.md.
Break formulaic structures. Avoid binary contrasts, negative listings, dramatic fragmentation, rhetorical setups, false agency. See references/structures.md.
Use active voice. Every sentence needs a human subject doing something. No passive constructions. No inanimate objects performing human actions ("the complaint becomes a fix").
Be specific. No vague declaratives ("The reasons are structural"). Name the specific thing. No lazy extremes ("every," "always," "never") doing vague work.
Put the reader in the room. No narrator-from-a-distance voice. "You" beats "People." Specifics beat abstractions.
Vary rhythm. Mix sentence lengths. Two items beat three. End paragraphs differently. No em dashes.
Trust readers. State facts directly. Skip softening, justification, hand-holding.
Cut quotables. If it sounds like a pull-quote, rewrite it.
Before delivering prose:
Rate 1-10 on each dimension:
| Dimension | Question |
|---|---|
| Directness | Statements or announcements? |
| Rhythm | Varied or metronomic? |
| Trust | Respects reader intelligence? |
| Authenticity | Sounds human? |
| Density | Anything cuttable? |
Below 35/50: revise.
See references/examples.md for before/after transformations.
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Build holaOS apps for connecting external services or managing work through a dashboard. The skill uses shared SDK building blocks for stored records, actions, and synchronization, with the dashboard and agent tools working on the same data.
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Analyze audience demographics and engagement to identify distinct groups, understand what they want, and prioritize valuable segments. Turn those findings into recommendations for content topics, formats, posting times, and tone, while explaining limits in the data.
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Guide an agent through efficient use of an embedded browser by choosing targeted actions, searches, and waits. Reduce repeated tool calls and unnecessary page snapshots, while using more detailed inspection when the target or result remains unclear.
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Validate workflows and reproduce issues in an embedded browser. Distinguish application problems from incorrect targets, missing waits, or session state, then report the shortest reliable reproduction steps with only the evidence needed to support the finding.
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Build the user interface for a holaOS app whose data resources are already connected through the SDK. Choose a feed, table, kanban board, form, or calendar layout using shared components and workspace styling.
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Package workspace skills and their required service integrations into one named, installable capability. Create a manifest that references existing skills, install the capability, and report which integrations still need to be connected.
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