Getting started

Know what you want before you open the agent. Then two skills: one sets up the agent, one sets up the topic.

Have this ready

slp-init asks for all of it. Vague goals get asked again: they become the topic's mission.

1 · Set up the agent

Open your agent at the repo root and send:

Read AGENTS.md, then read agent/skills/slp-setup/SKILL.md and follow it.

On the first run your agent hasn't loaded the skills yet, so it can't call /slp-setup: the prompt points it at the file. It detects which agent it is and exposes agent/skills and agent/agents in that agent's format: symlinks if it supports them, conversion if not. It also offers optional session hooks, where your agent supports them. Everything it creates goes to .git/info/exclude.

mkdir -p .claude
ln -s ../agent/skills .claude/skills
ln -s ../agent/agents .claude/agents

Full reference: slp-setup.

2 · Create a topic

A topic is anything you study: a book, a certification, a tool's docs, a course. The skills are loaded now, so call it by name.

/slp-init
I want to start studying HTTP.

The agent interviews you, creates the folder, checks your level with a few questions and offers a dedicated teacher.

topics/<slug>/
├── topic.json    # goals, languages, sources, routine
├── learning.md   # mission, glossary, record
├── resources/  notes/  exams/  exercises/
├── wiki/
│   └── index.md  # the agent's map of the subject (OKF)
└── progress/
    ├── status.md
    ├── log.md
    └── sessions.jsonl

topics/example/ is a small one to look at. Your own topics are git-ignored.

3 · Study

Start the app with uv run slp, and each session with /slp-session: it shows what's pending and hands off to the right skill. The app records your study sessions on its own.

Full reference: slp-init · skills · topics/<slug>.