Tend Learning Orchestrator FAQs

Question 1

When is the best time to run the /tend command?

Accepted Answer

It is best used after completing a sprint or epic, before starting a major new work phase, or on a regular weekly cadence to keep learnings from going stale.

Question 2

How does the rule demotion pass work?

Accepted Answer

It checks rule freshness against recent git activity in governed files; rules that haven't been relevant are downgraded in strength (e.g., from 'must' to 'should') or flagged for retirement.

Question 3

Does Tend help identify knowledge gaps?

Accepted Answer

Yes, Phase 1 and 2 of the Tend process specifically look for upcoming work that lacks necessary instructions or guardrails, flagging these as actionable gaps in the final report.

Question 4

What does the Tend skill actually do?

Accepted Answer

Tend automates the maintenance of AI agent memory by running curation and promotion tasks in sequence to keep project rules and agent learnings up to date and relevant to upcoming work.

Question 5

Can Tend manage multiple agents at once?

Accepted Answer

Yes, Tend can process learnings for a specific named agent or for all agents in the team concurrently using background tasks to ensure efficiency.

Tend Learning Orchestrator

Key Features

Use Cases

Tend Learning Orchestrator

Key Features

Use Cases