Detect discrepancies in AI-native documentation and coordination files.
npx skills add https://github.com/SeemSeam/agent-roles-spec --skill su-reconcile
Please help me install this Agent Skill. Skill: su-reconcile Source: https://github.com/SeemSeam/agent-roles-spec/tree/main/roles/su-ccb/skills/su-reconcile Command: npx skills add https://github.com/SeemSeam/agent-roles-spec --skill su-reconcile
The su-reconcile skill addresses the problem of discrepancies between documentation, coordination files, and console projections in AI-native environments, providing an automated process to identify and repair issues based on approved actions.
To run the AI self-assessment for reconcile, use the command: /ccb:su-reconcile --payload {"scope":"project","mode":"detect"}
High-intent search queries and answers about installing and using this skill.
To detect discrepancies in AI-native environments, run an AI self-assessment using the reconcile command with a detect mode payload. This identifies inconsistencies between source documentation, coordination files, and console projections.
Automated repair for data integrity is a process that executes pre-approved actions to resolve inconsistencies detected between documentation and coordination files. It ensures consistency by fixing discrepancies based on user approvals.
Yes, you can fix console alignment issues after identifying discrepancies by executing repair actions. The skill detects misalignments between console projections and documentation, then applies repairs based on user approvals.
Yes, repairs for coordination file inconsistencies require user approvals before execution. The skill identifies discrepancies and then executes repair actions only after they are pre-approved, maintaining secure data integrity.
You should run an AI self-assessment for documentation reconciliation when inconsistencies are suspected between source documentation and coordination files. It is triggered to identify and repair discrepancies, maintaining data integrity.
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