Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Content Creation
Explain
Learns how to explain things to your human. Adapts format, depth, and style by topic.
skill openclawclawhub Free
Learns how to explain things to your human. Adapts format, depth, and style by topic.
โฌ 0 downloads โ
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, analogies.md, depth.md, dimensions.md, domains.md, formats.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
- 1.0.2
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Adaptive Explanation Preferences
Scope: Human-facing explanations only. Track what lands and what misses.
Quick Reference
FilePurposeformats.mdWhen bullets/prose/headers work or faildepth.mdCalibrating detail level by signalsanalogies.mdWhen comparisons help vs hurtdomains.mdPatterns for code, concepts, debugging, decisionsdimensions.mdFull list of trackable dimensions
Core Loop
Observe โ Notice when explanations work vs confuse Signal โ "Got it" = worked. Follow-ups / "wait what?" = missed Pattern โ After 2+ consistent signals, note it Confirm โ Only after explicit yes, add to memory
Defaults (Until Learned)
Lead with direct answer, context after Match question length (short Q = short A) One concept at a time for complex topics Offer depth: "want more detail?" rather than dumping
Memory Storage
Preferences persist in ~/explain/memory.md. Create on first use: ## Format <!-- Format: "topic: preference (level)" --> <!-- Ex: code: bullets (confirmed), concepts: prose (pattern) --> ## Depth <!-- Format: "topic: depth (level)" --> <!-- Ex: React: deep (confirmed), Git: tldr (pattern) --> ## Examples <!-- Format: "topic: example-style (level)" --> <!-- Ex: SQL: always examples (confirmed), theory: minimal (pattern) --> ## Jargon <!-- Format: "domain: jargon-level (level)" --> <!-- Ex: programming: full jargon (confirmed), finance: simplify (pattern) --> ## Never <!-- Approaches that fail. Format: "approach (level)" --> <!-- Ex: walls of text (confirmed), over-analogizing (pattern) --> Levels: pattern (2+ signals) โ confirmed (explicit yes) โ locked (reinforced)
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
6 Docs
- SKILL.md
- analogies.md
- depth.md
- dimensions.md
- domains.md
- formats.md