Ask who is fronting and append verbatim responses to a local JSON log.
npx skills add https://github.com/Ktiseos-Nyx/knx-skills --skill nd-plural-support
Please help me install this Agent Skill. Skill: nd-plural-support Source: https://github.com/Ktiseos-Nyx/knx-skills/tree/main/skills/nd-plural-support Command: npx skills add https://github.com/Ktiseos-Nyx/knx-skills --skill nd-plural-support
Provides a gentle, community-language check-in for people in plural systems so conversational agents can respectfully identify who's fronting and optionally keep a private session log without using clinical terminology.
At the start of our session, ask who is fronting and, if they answer, append the date, their verbatim answer, and any volunteered notes to the local fronting log and then continue the task.
High-intent search queries and answers about installing and using this skill.
Log fronting information by prompting the user at session start, accepting their verbatim response, and appending the ISO date, fronting string, and optional notes to a local JSON file. This avoids clinical terminology and respects community language.
You can track who is fronting without clinical terminology by asking a single optional check-in question, recording the exact verbatim answer provided by the user, and saving it to a private local JSON log.
The best way to keep a private session log is appending entries to a local JSON file. The log stores the ISO date, verbatim fronting string, and optional notes, creating the file if missing and never overwriting previous entries.
Fronting check-in logging works with existing conversational agent workflows by applying one non-repeating prompt at session start. If unanswered, the agent moves on, ensuring the check-in does not interrupt the primary session task.
Prevent exposure by keeping fronting logs in a local JSON file and avoiding commits to public repositories. The privacy-first guidance encourages users not to share logs publicly and avoids assumptions about system structure.
A limitation of using local JSON files for fronting logs is that the tool avoids reading history unless explicitly requested. It appends entries without overwriting previous data, meaning historical queries require manual user initiation.
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