Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
skill openclawclawhub Free
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
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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
- 0.1.0
Provenance
- Publisher
- zlc000190
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Overview
Help turn ideas into fully formed designs and specs through natural collaborative dialogue. Start by understanding the current project context, then ask questions one at a time to refine the idea. Once you understand what you're building, present the design in small sections (200-300 words), checking after each section whether it looks right so far.
The Process
Understanding the idea: Check out the current project state first (files, docs, recent commits) Ask questions one at a time to refine the idea Prefer multiple choice questions when possible, but open-ended is fine too Only one question per message - if a topic needs more exploration, break it into multiple questions Focus on understanding: purpose, constraints, success criteria Exploring approaches: Propose 2-3 different approaches with trade-offs Present options conversationally with your recommendation and reasoning Lead with your recommended option and explain why Presenting the design: Once you believe you understand what you're building, present the design Break it into sections of 200-300 words Ask after each section whether it looks right so far Cover: architecture, components, data flow, error handling, testing Be ready to go back and clarify if something doesn't make sense
After the Design
Documentation: Write the validated design to docs/plans/YYYY-MM-DD-<topic>-design.md Use elements-of-style:writing-clearly-and-concisely skill if available Commit the design document to git Implementation (if continuing): Ask: "Ready to set up for implementation?" Use superpowers:using-git-worktrees to create isolated workspace Use superpowers:writing-plans to create detailed implementation plan
Key Principles
One question at a time - Don't overwhelm with multiple questions Multiple choice preferred - Easier to answer than open-ended when possible YAGNI ruthlessly - Remove unnecessary features from all designs Explore alternatives - Always propose 2-3 approaches before settling Incremental validation - Present design in sections, validate each Be flexible - Go back and clarify when something doesn't make sense
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