SkyAI (@SKYAIpro) / X

SkyAI

143 posts

SkyAI

@SKYAIpro

SkyAI is an all-in-one AI ecosystem powered by MCP, designed to seamlessly integrate intelligent solutions across industries.

United States

Joined April 2025

Pinned
SkyAI
@SKYAIpro
Dec 1, 2025
The Ecosystem Era Is Here🚨 🔹Custom MCPs will soon be usable directly in Playground — your AI’s capabilities are about to explode. 🔹Share MCP is coming soon, so your creations can reach the world. 🔹And from this foundation, the next-generation Marketplace is just around the
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SkyAI
@SKYAIpro
Jun 13
inevitable
Watcher.Guru
@WatcherGuru
Jun 11
JUST IN: Coinbase now allows AI agents to trade crypto autonomously.
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SkyAI reposted
BNB Chain
@BNBCHAIN
Jun 3
Introducing BNB Hack: AI Trading Agent Edition For the first time, build smart agents that can strategize and trade while you sleep, using a full stack from BNB Chain, @CoinMarketCap & @TrustWallet • 2 tracks, 3 weeks to build (June 3 to 21) • $36,000 cash prize pool • Win
00:00
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SkyAI reposted
CZ 🔶 BNB
@cz_binance
May 29
AI will stay and grow exponentially. But most AI companies will go bust. There are just too many. Even survivors will see huge price fluctuations. There will be new survivor entrants too. Same as any other new industry, really.
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SkyAI
@SKYAIpro
May 25
$SKYAI Perps now live @Bybit_Official Keep grinding.
Bybit
@Bybit_Official
May 25
New Perpetual Contract Listing: $SKYAI1USDT is now live on Bybit with @SKYAIpro! 🚀 Trade $SKYAI1 with up to 10x Leverage: i.bybit.com/1Sabc1Qz
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SkyAI
@SKYAIpro
May 24
One thing became obvious during testing: The hard part isn’t getting AI to generate signals. The hard part is making those signals behave consistently once they touch real markets. Still building.
SkyAI
@SKYAIpro
May 19
Most AI systems stop at outputs. We’ve been focused on what happens after: signal → execution → feedback → iteration Still refining. Rolling out soon #SKYAI
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SkyAI
@SKYAIpro
May 19
Most AI systems stop at outputs. We’ve been focused on what happens after: signal → execution → feedback → iteration Still refining. Rolling out soon #SKYAI
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SkyAI reposted
Bitget
@bitget
May 15
Replying to @bitget
Bitget Trading Club Championship – Exclusive for $SKYAI @SKYAIpro traders! Trade SKYAI to share 50,000 USDT, up to 3500 USDT per user. 🗓 May 14, 16:00 – May 21, 16:00 (UTC) Join here: bitget.com/launchhub/trad…
14K
SkyAI
@SKYAIpro
May 14
Internal testing now moving toward public rollout. AI-generated strategies live execution environments observable on-chain behavior The agent-to-market layer is getting closer.#SKYAI
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SkyAI
@SKYAIpro
May 10
One thing we’ve learned after months of testing: AI trading is less about predicting faster, and more about interpreting better. Most of our recent work has shifted toward: →macro context mapping →cross-source data synthesis →agent coordination & execution design The first
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SkyAI
@SKYAIpro
May 4
Over the past few months, we’ve been working on something that’s not easy to sum up in one line: Taking AI from a research assistant into the actual trading decision & execution loop. We’re now starting to open parts of it up. (1/7)
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SkyAI
@SKYAIpro
May 4
Replying to @SKYAIpro
Now we’re starting to expose parts of the system: * macro-aware analysis modules * aggregated cross-source data layers * AI-generated trading signals Alongside this, we will introduce a public execution address later. This will run selected strategies on-chain with fully
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SkyAI
@SKYAIpro
May 4
We’re also introducing a simple closed loop: system performance → strategy execution → value feedback into SKYAI The first version of this agent-to-market pipeline is now in final testing and will be rolling out soon. (7/7)
7.3K
SkyAI
@SKYAIpro
May 4
From one year ago to now, SKYAI PRESALE participants have generated strong returns. This was not driven by leverage or timing, but early alignment with an evolving agentic infrastructure system we’ve been building, together with @fourdotmemezh , with whom we co-launched the
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SkyAI
@SKYAIpro
May 3
📢Final testing of SKYAI MCP Hub — an agent connectivity layer for orchestrating MCP servers. → managing multiple MCP servers (data, trading, APIs, tools) → dynamic tool routing based on strategy context → permissioned execution for controlled agent actions → cross-agent
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