Agent skill

scanning-market-movers

Detect significant price movements and unusual volume across crypto markets. Calculates significance scores combining price change, volume ratio, and market cap. Use when tracking market movers, finding gainers/losers, or detecting volume spikes. Trigger with phrases like "scan market movers", "top gainers", "biggest losers", "volume spikes", "what's moving", "find pumps", or "market scan".

majiayu000534★ · 1 repos on radarProfile →
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill scanning-market-movers --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Version: 2.0.0
Declared author: Jeremy Longshore <jeremy@intentsolutions.io>
Allowed tools: ReadWriteEditGrepGlobBash(python:*)
Path: skills/analysis/scanning-market-movers/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Scanning Market Movers ## Overview Real-time detection and analysis of significant price movements and unusual volume patterns across cryptocurrency markets. This skill identifies top gainers, losers, and volume spikes, ranking them by a composite significance score. **Key Features:** - Scan 1,000+ cryptocurrencies for movers - Configurable thresholds (change %, volume spike, market cap) - Significance scoring for prioritization - Category filtering (DeFi, L2, NFT, etc.) - Multiple output formats (table, JSON, CSV) **Dependency:** This skill uses `tracking-crypto-prices` from `market-price-tracker` plugin for price data infrastructure. ## Prerequisites Install required dependencies: ```bash pip install requests pandas ``` **Dependency Setup:** Ensure `market-price-tracker` plugin is installed with `tracking-crypto-prices` skill configured. ## Instructions ### Step 1: Quick Market Scan Run a default scan for top gainers and losers: ```bash python {baseDir}/scripts/scanner.py ``` This returns the top 20 gainers and top 20 losers by 24h change with volume confirmation. ### Step 2: Custom Thresholds Scan with specific criteria: ```bash # Only show moves > 10% with volume spike > 3x p

What's inside
Steps it walks through
  1. Overview
  2. Prerequisites
  3. Instructions
  4. Step 1: Quick Market Scan
  5. Step 2: Custom Thresholds
  6. Step 3: Category Filtering
  7. Step 4: Different Timeframes
  8. Step 5: Export Results
  9. Output
  10. Default Table Output
  11. JSON Output (--format json)
  12. Significance Score
  13. Configuration
  14. Named Presets
Ships with 1 file
  • metadata.json
Commands it runs
pip install requests pandas
python {baseDir}/scripts/scanner.py
Only show moves > 10% with volume spike > 3x
python {baseDir}/scripts/scanner.py --min-change 10 --volume-spike 3
Filter by market cap
python {baseDir}/scripts/scanner.py --min-cap 100000000 --max-cap 1000000000
DeFi tokens only
python {baseDir}/scripts/scanner.py --category defi
Layer 2 tokens
python {baseDir}/scripts/scanner.py --category layer2
More from claude-skill-registry
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About this skill
What does the scanning-market-movers skill do?

Detect significant price movements and unusual volume across crypto markets. Calculates significance scores combining price change, volume ratio, and market cap. Use when tracking market movers, finding gainers/losers, or detecting volume spikes. Trigger with phrases like "scan market movers", "top gainers", "biggest losers", "volume spikes", "what's moving", "find pumps", or "market scan".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill scanning-market-movers --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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