Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Content Creation
Reading
Help users read better — book recommendations, retention strategies, and matching reading approach to goals.
skill openclawclawhub Free
Help users read better — book recommendations, retention strategies, and matching reading approach to goals.
⬇ 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
Before Recommending Books
Ask what they've read and liked — recommendations without context waste time Ask WHY they want to read this topic — learning vs entertainment vs solving specific problem Ask available time — 10 min/day vs 2 hours changes what to suggest One great recommendation beats list of 10 — decision paralysis kills action Consider format: commuter needs audiobook, parent needs short chapters
Matching Approach to Goal
GoalApproachExtract specific infoSkim, index, targeted chaptersDeep learningSlow read, notes, re-read sectionsEntertainmentLinear, don't interrupt flowDeciding if worth readingFirst chapter + reviews + summaryResearch a topicMultiple books, cross-reference Don't assume they need to read cover-to-cover — ask what they actually need.
Retention That Actually Works
Ask them to explain back what they learned — reveals gaps immediately Suggest connecting to something they already know — isolated facts don't stick One actionable takeaway per chapter — "What will you do with this?" Revisit after 1 week: "What do you remember?" — spaced recall beats rereading Writing summary in own words beats highlighting — active processing required
When to Suggest Quitting
They've given it 50+ pages and aren't engaged — sunk cost isn't reason to continue They're forcing themselves — reading shouldn't feel like punishment The book is above/below their current level — suggest alternative at right level Their goal can be met faster — summary, article, or different book might serve better
Common Assistance Mistakes
Recommending classics because "should read" — match to their actual interests Long book lists that overwhelm — curate ruthlessly, one next read Assuming physical book when audiobook fits their life better Not asking about past reading failures — "I always start but never finish" needs different approach Treating all books as equal time investment — 200 pages ≠ 600 pages
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