Install
openclaw skills install qmd-learning-loopCapture corrections, errors, feature requests, and recurring best practices in a QMD-native way for markdown-first agent workspaces. Use when a user corrects the agent, a command or tool fails, a missing capability is requested, a better recurring approach is discovered, or a lesson should be promoted into durable memory, runbooks, decisions, or workspace guidance without creating a separate .learnings silo.
openclaw skills install qmd-learning-loopCapture useful learnings without creating a parallel memory system. Route raw chronology to lightweight logs, durable operational lessons to indexed docs, and stable cross-cutting rules to existing workspace guidance.
Use a second pass when the learning seems durable enough to influence future behavior, policy, or structure.
references/promotion-targets.md.Before creating a new durable rule, search the relevant QMD collections or inspect the existing indexed docs for the same topic. Do not create near-duplicate policy or workflow documents.
Promote when one or more are true:
Do not turn every one-off event into a permanent rule.
At natural breakpoints, review captured items and decide whether they should stay chronological, become operational logs, or be promoted into durable guidance. Read references/review-loop.md when doing this review.
Read references/routing-and-promotion.md when routing is ambiguous. Read references/templates.md when you need starter formats for incident entries, feature requests, lightweight memory capture, or a new decision memo.