Orchestrate continual learning by delegating transcript mining and AGENTS.md updates to `agents-memory-updater`.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Continual Learning
Keep `AGENTS.md` current by delegating the memory update flow to one subagent.
## Trigger
Use when the user asks to mine prior chats, maintain `AGENTS.md`, or run the continual-learning loop.
## Workflow
1. Call `agents-memory-updater`.
2. Return the updater result.
## Guardrails
- Keep the parent skill orchestration-only.
- Do not mine transcripts or edit files in the parent flow.
- Do not bypass the subagent.
The line at the top of this page pins the label git:20260909.1e5ab42, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_n5xhiptkhsf35xuh
GET https://markdownregistry.com/api/v1/resolve?ref=barbieri/local-openfinance/continual-learning
GET https://markdownregistry.com/api/v1/blob/f627f733a33879b63523da7e92c8b33e6086df42a49a8139a87d1c21e7bd9b16
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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