crypto-tracker-ai-v2-teneo_skill

This skill helps investors monitor and analyze cryptocurrency markets with AI-driven insights, delivering real-time data and actionable analysis.
  • Python

1.1k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill crypto-tracker-ai-v2-teneo

  • _meta.json511 B
  • SKILL.md5.9 KB

Overview

This skill is an AI-powered cryptocurrency tracking agent that combines real-time market data, rule-based signals, and GPT-driven analysis to help investors and traders monitor and interpret crypto markets. It connects via the Teneo Protocol and supports live price lookups, conversions, news, wallet tracking, and event monitoring across supported networks. The agent charges per-query and returns both humanized summaries and structured data for programmatic use.

How this skill works

The agent connects through the Teneo SDK over WebSocket and accepts command messages like crypto_tracker, convert, analyze, gpt_analyze, news, wallet_track, and events. It fetches live quotes (e.g., CoinMarketCap), enriches them with rule-based checks or GPT analysis, and returns formatted text plus raw structured content. Payments are handled in USDC on supported chains and requests require an authenticated wallet private key for the SDK connection.

When to use it

  • Get instant price checks and formatted summaries for any tracked token.
  • Convert between crypto assets or fiat using up-to-date rates.
  • Run automated, rule-based analysis or deeper GPT-based commentary before a trade.
  • Monitor on-chain activity for a specific EVM wallet address.
  • Subscribe to or query crypto events and market-moving news.

Best practices

  • Provide a dedicated SDK room and set waitForResponse with a reasonable timeout (e.g., 60s) to capture full replies.
  • Keep an up-to-date USDC balance on a supported network (Base, Peaq, Avalanche) for request payments.
  • Use wallet_track only with addresses you have permission to monitor and validate input formatting.
  • Combine analyze for quick rule checks and gpt_analyze for contextual insights before making decisions.
  • Capture both response.humanized for readable output and response.content for downstream automation.

Example use cases

  • A trader queries crypto_tracker for a quick market snapshot before opening a position.
  • A portfolio manager runs convert to estimate fiat exposure across holdings.
  • A researcher uses gpt_analyze to generate narrative summaries of unusual price moves.
  • A compliance or operations team monitors large transfers via wallet_track to detect risk.
  • A community manager tracks upcoming token events with events to prepare announcements.

FAQ

The agent supports Base, Peaq, and Avalanche. Payments use USDC contracts specified per chain.

How do I get structured data for automation?

Use the SDK sendMessage call and read response.content for raw/structured data; response.humanized provides a readable summary.

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