Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
UnifAI Trading Suite
AI-powered trading insights suite: prediction markets (Polymarket/Kalshi) and social sentiment signals powered by UnifAI.
skill openclawclawhub Free
AI-powered trading insights suite: prediction markets (Polymarket/Kalshi) and social sentiment signals powered by UnifAI.
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
- CLAUDE.md, README.md, SKILL.md, config/__init__.py, config/settings.py, pyproject.toml
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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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
- zbruceli
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
UnifAI Trading Suite
A comprehensive suite for AI-driven trading analysis, aggregating prediction markets and social signals.
1. Prediction Trader
Compare probabilities across Polymarket and Kalshi. python3 {baseDir}/skills/prediction-trader/scripts/trader.py analyze "bitcoin"
2. Kalshi Trader
Regulated US economic indicators (Fed Rates, CPI). python3 {baseDir}/skills/kalshi-trader/scripts/kalshi.py fed
3. Social Signals
Analyze KOL mentions and sentiment via UnifAI. python3 {baseDir}/skills/social-signals/scripts/signals.py trending
π Setup
Requires UNIFAI_API_KEY (from unifAI) and GOOGLE_API_KEY (for analysis).
π Installation
clawdhub install unifai-trading-suite
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 Docs2 Scripts1 Files
- SKILL.md
- CLAUDE.md
- README.md
- config/__init__.py
- config/settings.py
- pyproject.toml