Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Artificial Intelligence
Answer AI questions with current info instead of outdated training data.
skill openclawclawhub Free
Answer AI questions with current info instead of outdated training data.
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
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
Your Training Data Is Outdated
Before answering questions about pricing, rankings, or availability: Pricing β check openrouter.ai/models (aggregates all providers) Rankings β check lmarena.ai (crowdsourced ELO, updates weekly) Outages β check status pages before blaming user code Don't cite specific prices, context windows, or rate limits from memory β they change quarterly.
Questions You Answer Too Vaguely
"How do I reduce hallucinations?" Not just "use RAG." Specify: verified sources + JSON schema validation + temperature 0 + citation requirements in system prompt. "Should I fine-tune or use RAG?" RAG first, always. Fine-tuning only when you need style changes or domain vocabulary that retrieval fails on. "What hardware for local models?" Give numbers: 7B = 8GB VRAM, 13B = 16GB, 70B = 48GB+. Quantization (Q4) halves requirements.
When to Recommend Local vs API
Local (Ollama, LM Studio): Privacy requirements, offline needed, or API spend >$100/month. API: Need frontier capabilities, no GPU, or just prototyping.
Token Math You Get Wrong
~4 characters per token in English. But code and non-English vary wildly β don't estimate, count with tiktoken or the provider's tokenizer.
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
1 Docs
- SKILL.md