Minara Skill v2: The Missing Finance Stack in the Agentic Web

Minara Skill v2: The Missing Finance Stack in the Agentic Web

The Moment OpenClaw Changed Everything

By now, you’ve probably seen OpenClaw or ClawdBot in the wild.

OpenClaw shifts agents from one-off helpers into systems that can keep improving over time. Instead of prompting a tool to do a single task, you can deploy a bot that understands intent, decomposes work, and runs repeatable workflows.

The key is Skills.

Think of a Skill as a specialized capability with a clear contract. When you ask your ClawdBot to do something, it selects the right Skills, combines their outputs, and returns a coherent result.

Digital finance is where this model really matters. Real workflows require multiple data sources on stocks and cryptos, infrastructure calls, and constant context switching between on-chain and off-chain systems. A capable crypto agent should handle that complexity end-to-end.

Once powerful financial intelligence and execution become a first-class Skill inside OpenClaw, users can finally run their own digital finance agents 24/7, with humans staying in control where it matters. Builders can compose and reuse this Skill, and ship more things faster.

That’s where Minara Skill v2 comes in.

Minara: What We’ve Been Building

Before we dive into Minara Skill v2, let's have a quick look at Minara.

Minara is a powerful AI assistant for digital finance. Its mission is simple: close the loop between analysis, decisions, and execution so users spend less time stitching tools together and more time acting on reliable signals.

You can ask questions, trade spot or perps, and build crypto-native workflows on Minara. We’ve built an agent core tailored for finance, backed by our domain model stack (DMind) and a broad tool layer. Minara integrates 70+ data sources across real-time markets, on-chain metrics, macro indicators, etc. We also support trading workflows across 13 chains, including Ethereum, Solana, and Base.

Our philosophy is straightforward: AI should behave like a disciplined finance assistant, helping individuals research, invest, and execute with clarity and control. That mindset aligns naturally with OpenClaw.

With Minara Skill v2, we’re bringing this digital-finance intelligence and execution into the OpenClaw ecosystem.

Meet Minara Skill v2: A Different Kind of Integration

Minara Skill v2 is how Minara plugs into the agentic web.

We provide a set of intent patterns that teach OpenClaw agents how to handle digital finance requests, then route execution through Minara’s runtime.

When you load the Skill into your ClawdBot, you're indeed adding an expert partner in digital finance: the agent can understand what the user wants about crypto or stocks, map it to the right action, and run it with reliability and clear safety boundaries.

What the Skill can do:

  • Wallet and fund flows: create wallets, get deposit addresses, transfer/withdraw, and manage stablecoin-first flows
  • Trading execution: swaps, spot, perps actions, plus position and risk controls
  • Research and decisions: token, stock, and market retrieval, trend discovery, deeper analysis with structured outputs
  • Composable payments: USDC-based payment flows (e.g., x402-based payments) for paid tool calls

Why it works well in OpenClaw?

  • Stablecoin-first, cross-chain by default: Minara abstracts chain routing and supports both spot and perps trades, so users can just express intent like "buy ETH" or "place a perps trade" to their bots, and execute safely without micromanaging networks or mechanics.
  • Orchestration and execution are separated: The Skill handles intent and planning in OpenClaw, while Minara CLI handles execution. This reduces the attack surface, improves debuggability, and makes execution behavior more auditable.
  • Safety is built into any financial flow: For sensitive actions, the system surfaces key details and requests explicit confirmation. The agent stays capable, but the user keeps the final say.

The Ecosystem Approach: Minara Skill Doesn't Stand Alone

In the OpenClaw ecosystem, new Skills ship every week, and each one is a specialist that can be composed into larger workflows.

Minara’s role in this stack is to provide finance-native analysis and execution assistance: a stablecoin-first, cross-chain wallet foundation, leading financial market intelligence, and AI-assisted spot and perps execution. Minara Skill is easy to pair with other financial OpenClaw Skills, whether your workflow touches dApps, on-chain actions, or CEX operations.

This is backed by mature infrastructure and security partners. We rely on providers such as CoinGecko for reliable market data, SlowMist for security review and hardening, Particle Network for wallet infrastructure, and we build around the Circle/USDC ecosystem. We believe that USDC-native flows, including payment primitives like x402, will be a core building block for agentic finance.

We’ll keep expanding partnerships at the Skill layer, so builders can plug Minara into more workflows and make crypto operations easier to automate, without sacrificing safety or control.

Real Workflows: Build Your Agentic Workflows in Digital Finance

Let’s move past abstractions and look at what builders actually run.

Scenario 1: Deposit → Research → Buy a Spot Asset (BTC, Tokenized Stocks and Gold, ...)

This is the classic execution loop: log in to Minara, fund the wallet, research assets, execute the trade, check your wallet.

  • Log in to Minara
  • Get your Minara wallet deposit address and fund your wallet
    • Your agent will show your Minara deposit addresses for both Solana and EVM networks, so you can fund your Minara spot wallet on the chain you already use.
    • Note: We use USDC as the base currency for execution. If your funds are in other tokens, Minara can swap them into USDC first.
  • Research assets before investing
    • Ask your agent which tokenized stocks are trending and how builders typically structure exposure.
  • Execute a spot buy on an asset (with confirmation)
  • Verify in your spot wallet
    • After execution, ask the agent for your spot holdings and confirm the new asset is in your wallet.

Scenario 2: Deposit → Perps Trading Analysis → Execute a Perps trade on Hyperliquid

  • Fund your account (USDC-first)
  • Ask for a perps decision and trading plan with context:
    • Prompt: "Analyze ETH: should I long or short? (Minara)"
    • The agent proposes a trade using Minara’s strategy format (direction, entry logic, invalidation, sizing) with solid reasoning.
  • Execute the recommended trade with risk-aware position sizing
    • You confirm the order size based on your risk preference and ask your agent to execute, then the trade is placed on Hyperliquid.
  • Review your perps positions
    • Prompt: "Show all my perps positions"

Scenario 3: 24/7 monitoring, analysis, and permissioned execution

You deploy a workflow that runs every morning at 7:00 AM. Your agent checks Bitcoin’s on-chain signals and market sentiment, then produces a short, structured brief. If predefined conditions are met, it pings you with the context and a recommended next step.

Prompt: "On a daily basis (9:00am), run minara fear-greed + metrics + trending. If anything moved significantly (fear-greed changed 8+, or BTC moved 2%+) do a full minara analysis and send me the result on Telegram with a trade recommendation. Send the result to me on Telegram. If nothing moves, stay quiet. "

From there, the system keeps running. Monitoring continues, analysis updates, and you only step in when an action requires approval.

That’s the point: continuous coverage with minimal overhead, while you still control the asset scope and what can be executed.

Scenario 4: Polymarket research → execution loop

Polymarket is a natural fit for Minara Skill because strong market analysis is the real edge. You can drop an event link into your ClawdBot and ask for a structured view of the market: implied odds, key drivers, risk factors, and which side looks mispriced. For example:

Prompt: "Here’s a Polymarket event: [link]. Analyze it and tell me which side offers the better risk-reward, and why."

From there, you can plug the analysis into your existing OpenClaw workflows. Execution can be permissioned: place the bet only after approval, or open a hedge on perps (e.g., Hyperliquid) to manage downside.

In addition, if you want to go further, your agent can also propose a strategy framework (signals, sizing, hedging rules) and produce a report you can iterate on.The same pattern extends beyond Polymarket: research, decision, and controlled execution in one workflow.

Scenario 5: A multi-agent structure for different situations

You can build a small agent team that covers the full loop: monitoring, analysis, and permissioned execution.For example:

  • A Research agent that scans markets and surfaces opportunities
  • An Analysis agent that evaluates the best perps trading option
  • An Execution agent that manages positions and prepares orders for approval.
Prompt:

"Spawn 3 sub-agents to work on my crypto portfolio in parallel.

Sub-agent 1 "scout": run minara discover fear-greed, btc-metrics, and trending. Report back the full results.

Sub-agent 2 "btc-analyst": run minara perps ask on BTC. Report back the AI analysis and quick order recommendation.

Sub-agent 3 "eth-analyst": run minara perps ask on ETH. Report back the AI analysis and quick order recommendation.When all three report back, compare the two analyses, pick the better trade, and send the recommendation to my Telegram.

If I reply GO, execute it"

These agents run continuously and collaborate through your workflow. Most of the work happens in the background. You step in only at key checkpoints to review context and approve actions.

For Developers: Getting Started

If you’re building on OpenClaw, ask your ClawdBot to install the Minara Skill:

"Install https://github.com/Minara-AI/skills"

Then in your ClawdBot, run:

"Login to Minara"

And then complete the browser verification.Once connected, your bot can route finance intents through Minara Skill and execute permissioned actions such as swaps, transfers, spot/perps trading flows, limit orders, and market analysis as part of your workflows.

Why This Matters: The Agentic Web Is Already Here

We’re at an inflection point. With the right Skills, an agent can move beyond “assistant” and start acting like a real financial operator: researching, making recommendations, and executing within clear permission boundaries.

Minara Skill brings finance-native intelligence and execution into OpenClaw. It strengthens digital finance workflows across crypto and beyond, and composes cleanly with other OpenClaw Skills so builders can automate end-to-end flows instead of stitching tools together.

If you’re building agents, experimenting with autonomous finance workflows, or simply curious about where financial infrastructure is heading, install Minara Skill v2 and try it in a real workflow.

The agentic web is already here.

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