Identify the current speaker and update sender identity mappings in a workspace CSV.
npx skills add https://github.com/42atom/msgcode --skill character-identity
Please help me install this Agent Skill. Skill: character-identity Source: https://github.com/42atom/msgcode/tree/main/src/skills/runtime/character-identity Command: npx skills add https://github.com/42atom/msgcode --skill character-identity
In multi-speaker channels, it identifies the current speaker and maintains a workspace-local mapping of sender identities to aliases or notes, reducing guesswork and confusion.
Identify the current speaker from the conversation and update the workspace-local senderId-to-identity mapping.
High-intent search queries and answers about installing and using this skill.
To identify the current speaker in multi-person conversations, this skill uses channel context and chat data to determine who is speaking. It then maps the senderId to a locally stored alias or note within the workspace, reducing guesswork.
You can manage sender identities locally by maintaining a workspace CSV file that maps senderId to aliases and notes. It uses channel, chatId, and senderId as keys, allowing you to update or look up identities without guessing.
Speaker identification tracks first_seen_at and last_seen_at timestamps in the local identity table. These timestamp fields are updated only when explicit evidence is provided from the conversation context, ensuring accurate identity tracking.
Yes, you can use a local CSV file for identity management across multichannel conversations. The skill stores identity entries in a workspace CSV under a specific directory, using channel, chatId, and senderId as unique keys to maintain accurate mappings.
The best way to update senderId mappings is by using the skill to identify the current speaker and apply explicit evidence to the workspace-local CSV. It updates first_seen_at and last_seen_at timestamps and supports optional owner semantics when configured.
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