scheduled-learning
Skill2 starsChanged 10 days agoNo licenceView on GitHub
Set up and run a multi-session, section-by-section learning plan for a book, paper, or other long source. Each run explains one part of the source faithfully (main argument, premises and conclusions, key concepts, short quotes, max 2000 words) and records progress in a markdown progress file so nothing is ever explained twice. Use this whenever the user wants to study, work through, or be taught a source gradually over several sessions or automated runs, mentions "scheduled learning", a learning plan, "one section per run/day/week", "next section", "next run", or "continue where we left off" on a source, or when an automated task points at a learning progress file. Use it even if the user doesn't say "skill" or "scheduled".
In this repository13 other files it gives its agents.
- AGENTS.mdAGENTS.md
- active-objectsSkill
- auto-jobberSkill
- coding-partnerSkill
- collaborative-codingSkill
- draft-writingSkill
- guided-learningSkill
- humaniserSkill
- human-writingSkill
- markdown-refactorSkill
- read-along-guideSkill
- white-box-synthesisSkill
- write-like-meSkill
The file
We split this skill into the rules it gives an agent
11 rules. About 0 are common, 8 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.