Capture captain profile data through natural conversation and check completeness.
npx skills add https://github.com/peteknowsai/swain-agents --skill profile-peteknowsai
Please help me install this Agent Skill. Skill: profile Source: https://github.com/peteknowsai/swain-agents/tree/main/sprite/skills/profile Command: npx skills add https://github.com/peteknowsai/swain-agents --skill profile-peteknowsai
Gathering accurate captain profile data can be slow and error-prone when relying on memory or scattered notes. This skill guides organic data collection through natural conversation, ensuring a complete, actionable profile for better briefings and learning planning.
Engage the captain in a focused, one-question follow-up to fill a critical profile gap and trigger a memory update.
High-intent search queries and answers about installing and using this skill.
This skill identifies missing profile fields and proposes natural follow-up questions, allowing you to capture preferences and history organically through dialogue rather than scattered notes.
Checking profile completeness works by analyzing the current data structure to identify missing fields, then proposing targeted conversational follow-ups to organically capture the remaining information.
You can use this conversational data collection approach during post-assistance debriefs, routine profile audits, and learning-new-skills planning to improve personalization without disrupting the dialogue.
Yes, you can use conversation data capture for learning new skills planning, as it gathers accurate profile history and preferences to improve personalization and actionable briefings.
You should avoid using organic conversation for profile data collection when you need immediate, bulk data entry, as this method relies on slow, focused one-question follow-ups spread across natural dialogues.
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