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Install in OpenClaw
/install learn
Description
Structure and track learning with spaced repetition and active recall across any domain.
README (SKILL.md)
Data Storage
~/learn/
├── topics/ # One folder per topic
│ └── {topic}/
│ ├── concepts.json # Concepts with SR schedule
│ ├── notes.md # Study notes
│ └── progress.md # Mastery tracking
├── reviews/ # Due review queue
│ └── due.json
└── config.json # Preferences
Create on first use: mkdir -p ~/learn/{topics,reviews}
Scope
This skill:
- ✅ Creates learning plans in ~/learn/
- ✅ Tracks concepts with spaced repetition
- ✅ Generates quizzes for active recall
- ✅ Reminds user when reviews are due (stores schedule in ~/learn/reviews/)
- ❌ NEVER accesses external learning platforms without permission
- ❌ NEVER stores data outside ~/learn/
Quick Reference
| Topic | File |
|---|---|
| Cognitive principles | cognition.md |
| Spaced repetition math | retention.md |
| Verification methods | verification.md |
Core Rules
1. Workflow
Goal → Plan → Study → Practice → Verify → Review
2. Active Recall Only
NEVER passive review. Always:
- Ask question first, user answers
- Then show correct answer
- User rates: easy / good / hard / wrong
3. Starting a Topic
- User states what they want to learn
- Create ~/learn/topics/{topic}/
- Break down into concepts
- Add to spaced repetition queue
4. Spaced Repetition
In concepts.json:
{
"concept_name": {
"added": "2024-03-15",
"interval_days": 1,
"next_review": "2024-03-16",
"ease_factor": 2.5,
"reviews": 0
}
}
After each review:
- Correct → increase interval (×ease_factor)
- Incorrect → reset to 1 day
5. Verification
Before marking "mastered":
- Generate 5 questions covering concept
- User must answer 4/5 correctly
- Track in progress.md (topic folder)
6. Configuration
In ~/learn/config.json:
{
"depth": "standard",
"learner_type": "practical",
"daily_review_limit": 20
}
Usage Guidance
This skill appears to be what it says: a local, file-based spaced-repetition assistant that stores data under ~/learn/ and needs no external credentials or installers. Before installing/use: (1) be aware the agent will create and update files in your home directory (inspect ~/learn/ contents and set file permissions if you care about privacy); (2) the SKILL.md's promise to "never" access external platforms is a guideline — verify your agent's network permissions if you want to enforce that; (3) clarify how reminders will be delivered (the skill provides no scheduler/cron details), and if you want automated notifications, decide whether to allow network/OS-level scheduling; (4) since this is instruction-only, review the generated files and backups regularly. If you want stronger guarantees, run the skill in an environment without outbound network access or review the agent's runtime policies first.
Capability Analysis
Type: OpenClaw Skill
Name: learn
Version: 1.0.2
The skill bundle is benign. The `SKILL.md` file clearly defines the scope of the AI agent's actions, explicitly stating it 'NEVER accesses external learning platforms without permission' and 'NEVER stores data outside ~/learn/'. The only command mentioned, `mkdir -p ~/learn/{topics,reviews}`, is for local directory setup and is benign. Furthermore, the changelog notes the removal of a 'vague cron reference,' indicating a conscious effort to avoid persistence mechanisms. All other `.md` files are purely informational, providing context for the learning methodology.
Capability Assessment
Purpose & Capability
Name/description (spaced repetition, active recall) match the instructions and files. All required actions are local (create ~/learn/, store concepts, track reviews). There are no unexpected credentials, binaries, or installs.
Instruction Scope
The SKILL.md instructs the agent to create and manage files under ~/learn/ (topics/, reviews/, config.json) and to run the SR/quiz workflow. This stays within the stated scope. Two minor notes: (1) the skill claims it will "Remind user when reviews are due" but gives no mechanism (no cron/daemon or external notification mechanism) — that is left vague; (2) statements like "NEVER accesses external learning platforms" are policy directives in prose and are not technically enforceable by the instruction file itself, so actual runtime behavior depends on the agent's environment/permissions.
Install Mechanism
No install spec or code is provided (instruction-only). This minimizes risk because nothing is written to disk by an installer and no external binaries/packages are fetched.
Credentials
The skill requests no environment variables, credentials, or config paths. Its only persistent state is local files in the user's home directory, which is proportionate for a learning/tracking skill.
Persistence & Privilege
always:false and no modifications to other skills or global agent config. The skill writes only to its own ~/learn/ folder per instructions, so requested persistence/privilege is limited and appropriate.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install learn - After installation, invoke the skill by name or use
/learn - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
Fixed data folder to match slug, removed vague cron reference
v1.0.1
Simplified structure, removed broken script references, explicit data storage
v1.0.0
Initial release - spaced repetition, active recall, verification levels
Metadata
Frequently Asked Questions
What is Learn?
Structure and track learning with spaced repetition and active recall across any domain. It is an AI Agent Skill for Claude Code / OpenClaw, with 1630 downloads so far.
How do I install Learn?
Run "/install learn" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Learn free?
Yes, Learn is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Learn support?
Learn is cross-platform and runs anywhere OpenClaw / Claude Code is available (linux, darwin, win32).
Who created Learn?
It is built and maintained by Iván (@ivangdavila); the current version is v1.0.2.
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