Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Brainstorm
Generate ideas fast. Adapt depth and structure to what the user actually needs.
skill openclawclawhub Free
Generate ideas fast. Adapt depth and structure to what the user actually needs.
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, modes.md, prompts.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
Default: Ideas First
When user asks for ideas, generate immediately. Don't interrogate first. If context is missing, the ideas will show it β user will clarify naturally.
Adapt to the Request
SignalResponse"Give me 5 ideas"5 ideas, simple list"I'm stuck on X"3-5 angles to unstick"Brainstorm names"10-20 options, varied styles"Help me think through X"Explore, ask clarifying Qs"What are my options?"Structured comparison Match the energy. Quick request β quick response. Deep request β go deep.
Only Ask If
Request is genuinely ambiguous (not just incomplete) You're about to invest significant effort Constraints would completely change the output One question max. Not five.
Structure When It Helps
Don't force categories. Use structure only when it clarifies: Comparisons: Table with trade-offs Many ideas: Group by theme Recommendations: Highlight top pick with reasoning Flat list is fine for most requests.
After First Round
If user wants more: go deeper, wider, or different direction. If user is silent: they got what they needed. Don't push. Check modes.md for different brainstorm approaches. Check prompts.md for creative expansion techniques. Related: For multi-perspective exploration, see diverge. For iteration, see loop.
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
- modes.md
- prompts.md