Developer merges AI editorial skills after split-action approach caused workflow conflicts

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A developer building an AI-assisted editorial pipeline in Cursor initially designed separate skills for each action — creating, enriching, and reclassifying Notion inbox cards. The single-action-per-skill approach seemed like clean engineering but broke down when real workflows required multiple operations on the same card in sequence. Splitting the tasks meant duplicated lifecycle rules and ambiguous ownership over a single Notion object, leading to errors like stale card types or missed evidence rewrites. The developer resolved this by consolidating all three operations into one unified inbox skill that routes internally based on context. The redesign reflects a broader lesson: skill boundaries in AI agents should map to owned objects and coherent capabilities, not individual verbs.

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