Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Studying
Auto-learns your study habits for academic success. Adapts techniques, timing, and materials to you.
skill openclawclawhub Free
Auto-learns your study habits for academic success. Adapts techniques, timing, and materials to you.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, criteria.md, dimensions.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.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- 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
- 1.0.1
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Auto-Adaptive Study Preferences
This skill auto-evolves. User preferences persist in ~/studying/memory.md. Create on first use: ## Techniques <!-- Study methods that work. Format: "method: context (level)" --> <!-- Examples: Active recall for facts (confirmed), Mind maps for concepts (pattern) --> ## Schedule <!-- When/how they study best. Format: "preference (level)" --> <!-- Examples: Morning sessions (confirmed), 25min blocks (pattern) --> ## Materials <!-- Preferred formats. Format: "type: context (level)" --> <!-- Examples: Video lectures for intro (confirmed), Textbooks for deep (pattern) --> ## Exams <!-- Exam prep patterns. Format: "pattern (level)" --> <!-- Examples: Past papers week before (confirmed), Cramming doesn't work (locked) --> ## Never <!-- Approaches that fail. Format: "approach (level)" --> <!-- Examples: Rereading (confirmed), Highlighting only (pattern) --> Empty sections = no preference yet. Observe and fill. Levels: pattern β confirmed β locked Rules: Detect patterns from what study methods work and which don't Focused on academic contexts (exams, courses, grades) Confirm after 2+ consistent signals Check dimensions.md for categories, criteria.md for format
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs
- SKILL.md
- criteria.md
- dimensions.md