0xrikt/crypto-skills

crypto-trading-advisor

Crypto trading analysis advisor. Triggers when users ask whether a token is worth trading, if a position can be taken, or for trend analysis. Provides high-value data sources and professional trading principles. Trigger phrases include "should I trade", "can I long/short", "is it a good setup", "trade recommendation", "can I enter here", "what's the play" etc.

Hot #3361 First seen Feb 22, 2026

Installation

$ npx skills add 0xrikt/crypto-skills --skill crypto-trading-advisor

Summary

  • Crypto trading analysis advisor.
  • Triggers when users ask whether a token is worth trading, if a position can be taken, or for trend analysis.
  • Provides high-value data sources and professional trading principles.
  • Trigger phrases include "should I trade", "can I long/short", "is it a good setup", "trade recommendation", "can I enter here", "what's the play" etc.

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Also in this package

Other skills from 0xrikt/crypto-skills.

npx skills add 0xrikt/crypto-skills

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Also listed on

Alternate registries and mirrors of this skill.

Repository health

Stars 18
License MIT
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 4,365 B
  • docs README.md 1,579 B
  • docs SUMMARY.md 4,002 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 402 installs

SKILL.md

Crypto Trading Advisor

High-Value Data Sources

Market Sentiment & Macro

Data Source Query
Fear & Greed Index Alternative.me crypto fear greed index
Stablecoin Supply/Flows DefiLlama site:defillama.com stablecoins
Macro Calendar CoinGlass crypto events calendar

Derivatives & Funding Data

Data Source Query
Funding Rate/OI/Long-Short Ratio Coinglass [token] funding rate coinglass
Liquidation Heatmap Coinglass / Hyblock [token] liquidation heatmap
Options Data (Max Pain/PCR) Deribit / Coinglass BTC options max pain

On-Chain Data

Data Source Query
TVL (Chains/Protocols) DefiLlama site:defillama.com [chain/protocol]
Exchange Netflow CryptoQuant / Glassnode [token] exchange netflow
Whale Movements Whale Alert / Arkham [token] whale movement
Token Unlock Schedule Token Unlocks [token] token unlock schedule
Protocol Revenue Token Terminal [protocol] revenue token terminal
Staking Data Staking Rewards [token] staking rate
Gas / Chain Activity Etherscan / Block Explorers [chain] gas tracker

Social & Sentiment

Data Source Query
Social Volume LunarCrush [token] lunarcrush
Search Trends Google Trends [token] google trends

Trading Principles

Analysis Order

Macro Environment → Funding/Derivatives Data → On-Chain Data → News → Technicals

Confirm the big picture first, then zoom into the specific token. When the market is weak, discount any bullish individual token analysis.

Signal Priority

  1. On-chain anomalies — Large transfers, unusual exchange flows often front-run price
  2. Extreme funding rates — Extreme positive/negative rates often precede reversals
  3. Major news — Can invalidate any technical setup
  4. Technicals — Only relevant when the above three show no anomalies

Contrarian Checkpoints

  • Extreme positive funding + everyone bullish → Watch for long squeeze
  • Extreme negative funding + extreme fear → Potential short squeeze setup
  • Social volume spike + retail FOMO → Often near local top
  • Zero interest + on-chain accumulation signals → Potential opportunity

Liquidity Red Lines

  • 24h volume < $1M → Liquidity warning, size down or skip
  • Only listed on small exchanges → High risk
  • Bid-ask spread > 1% → Proceed with caution

Position Sizing & Risk Management

  • Confidence determines size: High = 80-100%, Medium = 50-70%, Low = 20-30% or sit out
  • Max loss per trade: 2-5% of total capital
  • Scale in/out, don't go all-in
  • Daily timeframe thesis → daily timeframe stop loss

Cognitive Bias Self-Check

After analysis, ask yourself:

  • Am I only seeing evidence that supports my view?
  • Am I anchored to a specific price?
  • If I had no position, would I enter here?

Output Principles

  1. Lead with the conclusion — Answer "should I trade this?" upfront, don't make users read everything first
  1. Layer the information — Key conclusion and data first, detailed analysis below; dig deeper only if interested
  1. Visuals over text — Charts over tables, tables over paragraphs; use emoji to enhance readability
  1. Be specific with data — Don't say "fear/greed is elevated", say "Fear/Greed at 72 (Greed)"; don't say "recent outflows", say "7-day net outflow $142M"
  1. Make risks concrete — Don't just say "manage risk", say "invalidated below $XX" or "reassess if XX happens"
  1. Adapt to the environment — Use interactive charts and cards if rich output is supported; use ASCII visualization or structured emoji in plain text
  1. Talk like a trader — Concise, direct, opinionated; no "based on our analysis" or "in conclusion" fluff; have a take, but back it with data