Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Content Creation
Flashcards
Create effective flashcards with optimal formatting, spaced repetition integration, and memory science principles.
skill openclawclawhub Free
Create effective flashcards with optimal formatting, spaced repetition integration, and memory science principles.
⬇ 0 downloads ★ 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
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
- 1.0.0
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Card Formulation Rules
One fact per card: Never combine multiple concepts. "What is X?" not "What are X, Y, and Z?" Atomic questions: Break complex topics into smallest testable units. Each card tests exactly one thing. Bidirectional cards for definitions: Create both term→definition AND definition→term to prevent recognition-only learning. Use cloze deletions for facts: "The mitochondria is the {{c1::powerhouse}} of the cell" forces active recall.
Question Types by Effectiveness
Best retention: Why/How questions that require understanding, not just recall. Good retention: Fill-in-the-blank, definition recall, process steps. Weak retention: Yes/No questions, multiple choice (use sparingly). Avoid: Questions answerable by pattern matching or elimination.
Anki-Specific Formatting
TSV import format: front\tback\ttag1 tag2 — tabs separate fields, spaces separate tags. Cloze syntax: {{c1::answer}} for single deletion, {{c1::first}} and {{c2::second}} for multiple. Image occlusion: Use for diagrams, maps, anatomical images. Hide labels, reveal on flip. Tags for organization: Use hierarchical tags subject::topic::subtopic for filtered study.
Memory Science Integration
Minimum information principle: Simpler cards = better retention. If card feels complex, split it. Personal connection: Add context from your experience. "X reminds me of Y" strengthens encoding. Concrete over abstract: "Paris is capital of France" beats "Capitals are important cities." Imagery when possible: Visual descriptions enhance memory. "Mitochondria = bean-shaped power plant."
Common Mistakes
Too much text on back: Keep answers under 20 words. Long answers = weak recall signal. Orphan cards: Cards without context fail. Include source/chapter in tags. Copy-paste from textbook: Rephrase in your own words. Understanding before memorization. Skipping hard cards: Difficulty means you need it most. Never suspend without replacement.
Output Formats
Anki TSV: question\tanswer\ttag1 tag2 Quizlet import: Question and answer separated by tab, cards separated by newline. Markdown table: For review before import. | Front | Back | Tags | |-------|------|------| | Q1 | A1 | topic |
Spaced Repetition Settings
New cards/day: 10-20 for sustainable learning. More causes review pile-up. Review intervals: Trust the algorithm. Don't manually reschedule. Again vs Hard: "Again" = complete failure (resets interval). "Hard" = struggle but recalled. Leeches: Cards failed 8+ times need rewriting, not more repetition.
Category context
Writing, remixing, publishing, visual generation, and marketing content production.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md