learning-loop

Name: learning-loop
Rating: 5 (3 reviews)
Author: richfrem

(Industry standard: Loop Agent / Single Agent) Primary Use Case: Self-contained research, content generation, and exploration where no inner delegation is required. Self-directed research and knowledge capture loop. Use when: starting a session (Orientation), performing research (Synthesis), or closing a session (Seal, Persist, Retrospective). Ensures knowledge survives across isolated agent sessi

3stars

Updated 12 days ago

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How to add

/plugin marketplace add richfrem/agent-plugins-skills

The exact command may vary by repository. Check the README on GitHub.

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Dependencies

This skill requires Python 3.8+ and standard library only. No external packages needed.

To install this skill's dependencies:

pip-compile ./requirements.in
pip install -r ./requirements.txt

See ./requirements.txt for the dependency lockfile (currently empty — standard library only).

Learning Loop

The Learning Loop is a structured cognitive continuity protocol ensuring that knowledge survives across isolated agent sessions. It is designed to be uni

[Description truncada. Veja o README completo no GitHub.]

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