@jdferguson.base.eth
MEET FERGI 🦞
My /openclaw agent.
Running in the cloud on:
Hostinger + Docker + Ubuntu
(3rd attempt setting up )🤦♂️
🦞SKILLS added so far:
☑️Clawhub
→ Connects FERGI to the OpenClaw skill marketplace, allowing the agent to discover, install, and manage additional capabilities.
☑️Frontend Design
→ Enables FERGI to generate UI layouts, interface components, and visual structures for apps or dashboards.
☑️Skill Vetter
→ Verifies and runs security checks on newly installed skills to ensure safe and stable operation.
Plug-Ins / API Keys
☑️Brave API
→ Provides real-time web search so FERGI can retrieve current information, news, and research topics.
☑️Tavily API
→ AI optimized search engine designed for LLM agents to retrieve structured research and knowledge.
☑️Firecrawl API
→ Crawls and extracts structured data from websites so FERGI can analyze web content and perform deeper research.
☑️CoinGecko API
→ Supplies live cryptocurrency market data including prices, market caps, trading volume, and token information.
☑️CCXT
→ Universal crypto exchange library that allows FERGI to connect to multiple exchanges and retrieve trading market data.
☑️Telegram Bot
→ Enables alerts, notifications, and remote interaction with FERGI through Telegram messaging.
☑️OpenAI API
→ Provides advanced language and reasoning models that power FERGI’s analysis, decision making, and agent tasks.
Also 👀
I’ve been staking $VVV for about 6 months to unlock Pro AI models in the @venice-ai miniapp.
That position alone has been 5×+ ROI
So I’m considering using some of those profits to access the API and run Sonnet models.
Or possibly Burning 🔥 $VVV to $Diem to generate free API credits.
(1 $Diem = $1 API credit per day) 🤯
Still experimenting and learning so I am curious what other builders are running! 👀
⁉️Best OpenClaw skills?
⁉️Best trading tools/skills?
⁉️Best builder tools/skills?
⁉️Best AI model for building?
⁉️Best AI model for Trading based on technical and fundamental analysis? 👀
Always looking to improve and learn!
Drop your Stack in the comments 👇
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