Correct misclassified intent and domain states within a ULW session.
npx skills add https://github.com/X0x888/oh-my-claude --skill ulw-correct
Please help me install this Agent Skill. Skill: ulw-correct Source: https://github.com/X0x888/oh-my-claude/tree/main/bundle/dot-claude/skills/ulw-correct Command: npx skills add https://github.com/X0x888/oh-my-claude --skill ulw-correct
The skill addresses misclassifications of the user's intent or domain in a ULW turn, providing a means to update the active session with the correct information for better routing and classification.
Enter the correction reason along with the desired intent and domain (e.g., "/ulw-correct intent=advisory domain=writing").
High-intent search queries and answers about installing and using this skill.
To correct misclassified intent or domain in a ULW session, you provide the corrected intent and domain values. This updates the active session state and ensures accurate routing for subsequent directives.
Updating intent routing requires corrected intent and domain to record the correction for cross-session learning. This ensures the active session uses the right state for accurate subsequent routing and gate evaluations.
The best way to manage misclassification corrections across sessions is to record the correction reason with the new intent and domain. This updates the current session and saves data for cross-session learning.
You cannot fully update the active session state without specifying corrected intent and domain where applicable. Providing both values is required to ensure accurate routing and record corrections properly.
Misclassification correction directly affects subsequent gates and directives in ULW. By updating the active session's intent and domain state, it ensures all following routing decisions use the corrected information.
You need to apply intent routing corrections during session management when a ULW turn is misclassified. This updates the active session, ensuring accurate routing and recording the correction for cross-session learning.
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