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Structure and track learning with spaced repetition and active recall across any domain.

skill openclawclawhub Free
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High Signal

Structure and track learning with spaced repetition and active recall across any domain.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, cognition.md, retention.md, verification.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.2

Documentation

ClawHub primary doc Primary doc: SKILL.md 9 sections Open source page

Data Storage

~/learn/ โ”œโ”€โ”€ topics/ # One folder per topic โ”‚ โ””โ”€โ”€ {topic}/ โ”‚ โ”œโ”€โ”€ concepts.json # Concepts with SR schedule โ”‚ โ”œโ”€โ”€ notes.md # Study notes โ”‚ โ””โ”€โ”€ progress.md # Mastery tracking โ”œโ”€โ”€ reviews/ # Due review queue โ”‚ โ””โ”€โ”€ due.json โ””โ”€โ”€ config.json # Preferences Create on first use: mkdir -p ~/learn/{topics,reviews}

Scope

This skill: โœ… Creates learning plans in ~/learn/ โœ… Tracks concepts with spaced repetition โœ… Generates quizzes for active recall โœ… Reminds user when reviews are due (stores schedule in ~/learn/reviews/) โŒ NEVER accesses external learning platforms without permission โŒ NEVER stores data outside ~/learn/

Quick Reference

TopicFileCognitive principlescognition.mdSpaced repetition mathretention.mdVerification methodsverification.md

1. Workflow

Goal โ†’ Plan โ†’ Study โ†’ Practice โ†’ Verify โ†’ 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 โ†’ increase interval (ร—ease_factor) Incorrect โ†’ 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 }

Category context

Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
4 Docs
  • SKILL.md Primary doc
  • cognition.md Docs
  • retention.md Docs
  • verification.md Docs