analyzing-options-flow

This skill provides automated assistance for the described functionality Track crypto options flow to identify institutional positioning and market sentiment. Use when tracking institutional options flow. Trigger with phrases like "track options flow", "analyze derivatives", or "check institutional".

33 stars

Best use case

analyzing-options-flow is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

This skill provides automated assistance for the described functionality Track crypto options flow to identify institutional positioning and market sentiment. Use when tracking institutional options flow. Trigger with phrases like "track options flow", "analyze derivatives", or "check institutional".

Teams using analyzing-options-flow should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/options-flow-analyzer/SKILL.md --create-dirs "https://raw.githubusercontent.com/aAAaqwq/AGI-Super-Team/main/skills/options-flow-analyzer/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/options-flow-analyzer/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How analyzing-options-flow Compares

Feature / Agentanalyzing-options-flowStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

This skill provides automated assistance for the described functionality Track crypto options flow to identify institutional positioning and market sentiment. Use when tracking institutional options flow. Trigger with phrases like "track options flow", "analyze derivatives", or "check institutional".

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Analyzing Options Flow

## Overview

This skill provides automated assistance for the described functionality.

## Prerequisites

Before using this skill, ensure you have:
- Access to crypto market data APIs (CoinGecko, CoinMarketCap, or similar)
- Blockchain RPC endpoints or node access (Infura, Alchemy, or self-hosted)
- API keys for exchanges if trading or querying account data
- Web3 libraries installed (ethers.js, web3.py, or equivalent)
- Understanding of blockchain concepts and crypto market dynamics

## Instructions

1. Use Read tool to load API credentials from {baseDir}/config/crypto-apis.env
2. Configure blockchain RPC endpoints for target networks
3. Set up exchange API connections if required
4. Verify rate limits and subscription tiers
5. Test connectivity and authentication
1. Use Bash(crypto:options-*) to execute crypto data queries
2. Fetch real-time prices, volumes, and market cap data
3. Query blockchain for on-chain metrics and transactions
4. Retrieve exchange order book and trade history
5. Aggregate data from multiple sources for accuracy


See `{baseDir}/references/implementation.md` for detailed implementation guide.

## Output

- Current prices across exchanges with spread analysis
- 24h volume, market cap, and circulating supply
- Price changes across multiple timeframes (1h, 24h, 7d, 30d)
- Trading volume distribution by exchange
- Liquidity metrics and slippage estimates
- Transaction count and network activity

## Error Handling

See `{baseDir}/references/errors.md` for comprehensive error handling.

## Examples

See `{baseDir}/references/examples.md` for detailed examples.

## Resources

- CoinGecko API for market data across thousands of assets
- Etherscan API for Ethereum blockchain data
- Dune Analytics for on-chain SQL queries
- The Graph for decentralized blockchain indexing
- ethers.js for Ethereum smart contract interaction

Related Skills

workflow-automation

33
from aAAaqwq/AGI-Super-Team

Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off. This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation. Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility

webflow-automation

33
from aAAaqwq/AGI-Super-Team

Automate Webflow CMS collections, site publishing, page management, asset uploads, and ecommerce orders via Rube MCP (Composio). Always search tools first for current schemas.

tdd-workflow

33
from aAAaqwq/AGI-Super-Team

Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.

orchestration-workflow

33
from aAAaqwq/AGI-Super-Team

> Agent 编排工作流——多 Agent 任务分发与协调

analyzing-market-sentiment

33
from aAAaqwq/AGI-Super-Team

This skill provides comprehensive cryptocurrency market sentiment analysis by combining multiple data sources Analyze cryptocurrency market sentiment using Fear & Greed Index, news analysis, and market momentum. Use when gauging overall market mood, checking if markets are fearful or greedy, or analyzing sentiment for specific coins. Trigger with phrases like "analyze crypto sentiment", "check market mood", "is the market fearful", "sentiment for Bitcoin", or "Fear and Greed index".

kanbanflow-skill

33
from aAAaqwq/AGI-Super-Team

Manage KanbanFlow boards, columns, and tasks for lightweight workflow tracking and task organization.

git-workflow

33
from aAAaqwq/AGI-Super-Team

Git workflow: branches, PR, merge, cleanup

av-sync-workflow

33
from aAAaqwq/AGI-Super-Team

Audio-to-video synchronization workflow: analyze audio (beats, tempo, emotion, mood), find/match video clips to match scene and feeling, sync cuts to music beats, generate beat-marked videos. Use when user wants to: (1) turn a song into a music video, (2) sync video clips to music beats, (3) create a video that matches audio mood/scene/rhythm, (4) do beat-matching video editing. Triggers: "制作音乐视频", "音频转视频", "beat matching", "卡点视频", "音视频同步", "视频踩点", "music video creation", "sync video to audio"

wemp-operator

33
from aAAaqwq/AGI-Super-Team

> 微信公众号全功能运营——草稿/发布/评论/用户/素材/群发/统计/菜单/二维码 API 封装

Content & Documentation

zsxq-smart-publish

33
from aAAaqwq/AGI-Super-Team

Publish and manage content on 知识星球 (zsxq.com). Supports talk posts, Q&A, long articles, file sharing, digest/bookmark, homework tasks, and tag management. Use when publishing content to 知识星球, creating/editing posts, uploading files/images/audio, managing digests, batch publishing, or formatting content for 知识星球.

zoom-automation

33
from aAAaqwq/AGI-Super-Team

Automate Zoom meeting creation, management, recordings, webinars, and participant tracking via Rube MCP (Composio). Always search tools first for current schemas.

zoho-crm-automation

33
from aAAaqwq/AGI-Super-Team

Automate Zoho CRM tasks via Rube MCP (Composio): create/update records, search contacts, manage leads, and convert leads. Always search tools first for current schemas.