Continual Learning

Continual Learning

Auto-mine session activity for durable memory updates. CK's ck_memory_record is manual — this skill automates extraction.

Do NOT use when

• During active coding (distracts from the task)
• When no meaningful session activity has occurred
• To record secrets, tokens, or transient debugging state

What gets learned (only two categories)

1. User Preferences: Recurring corrections, preferred patterns, naming, tools, workflows
2. Workspace Facts: Stable codebase facts, architecture decisions, module ownership, constraints

What does NOT get learned

Secrets, one-off instructions, transient state, process meta-guidance

Workflow

1. Search ck_memory_search for existing memories to avoid duplication.
2. Scan session recent events (reviews, findings, decisions) for:
   • User corrections recurring more than once
   • Architecture decisions approved and not reversed
   • Workspace facts discovered and not contradicted
   • Preferences stated explicitly or demonstrated consistently
3. For each candidate: Is it durable? Reusable? Specific? If no to any, skip.
4. Record via ck_memory_record:
   • Preferences → type decision, tags ["user-preference"]
   • Facts → type brief, tags ["workspace-fact"]
5. Archive superseded items via ck_memory_archive.
6. If no high-signal items found: "No high-signal memory updates."

Rules

• Plain bullet points only — no metadata blocks, confidence scores
• Cap at 12 items per section
• Deduplicate semantically — "prefer Req" and "always use Req" are the same item
• Update in place, do not create duplicates alongside old items
• Never record secrets

Output

• ck_memory_record entries for new preferences/facts
• ck_memory_archive for superseded items
• Summary: "Recorded N preferences, M facts, archived K items."