Training Status

Training Status

Purpose

Display a comprehensive overview of everything your AI teammate has been trained on.

Workflow

1. Fetch all training: Use the training_list tool with no filters to get all training entries.

2. Present the dashboard: Format the output as a clean status report:

Training Status

Patterns:   X  (staging-model, incremental-config, ...)
Rules:      X  (no-float, no-select-star, ...)
Glossary:   X  (arr, mrr, churn-date, ...)
Standards:  X  (sql-style-guide, review-checklist, ...)

Recent Training:
  - 2 days ago: Learned rule "no-float" (from user correction)
  - 5 days ago: Learned pattern "staging-model" (from stg_orders.sql)
  - 1 week ago: Loaded standard "sql-style-guide" (from docs/sql-style.md)

Most Applied:
  - "staging-model" pattern — applied 12 times
  - "no-float" rule — applied 8 times

3. Offer actions: After showing status, suggest:
   • /teach to learn new patterns
   • /train to load standards from documents
   • training_remove to remove outdated entries
   • training_list with filters for detailed views

Usage

/training-status