crypto-trading-advisor

0xrikt/crypto-skills · updated Apr 8, 2026

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$npx skills add https://github.com/0xrikt/crypto-skills --skill crypto-trading-advisor
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summary

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

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

  2. Layer the information — Key conclusion and data first, detailed analysis below; dig deeper only if interested

  3. Visuals over text — Charts over tables, tables over paragraphs; use emoji to enhance readability

  4. 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"

  5. Make risks concrete — Don't just say "manage risk", say "invalidated below $XX" or "reassess if XX happens"

  6. Adapt to the environment — Use interactive charts and cards if rich output is supported; use ASCII visualization or structured emoji in plain text

  7. Talk like a trader — Concise, direct, opinionated; no "based on our analysis" or "in conclusion" fluff; have a take, but back it with data

how to use crypto-trading-advisor

How to use crypto-trading-advisor on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add crypto-trading-advisor
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/0xrikt/crypto-skills --skill crypto-trading-advisor

The skills CLI fetches crypto-trading-advisor from GitHub repository 0xrikt/crypto-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/crypto-trading-advisor

Reload or restart Cursor to activate crypto-trading-advisor. Access the skill through slash commands (e.g., /crypto-trading-advisor) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.651 reviews
  • Hassan Malhotra· Dec 28, 2024

    We added crypto-trading-advisor from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Amelia Huang· Dec 24, 2024

    I recommend crypto-trading-advisor for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Aisha Sanchez· Dec 20, 2024

    Keeps context tight: crypto-trading-advisor is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Noah Shah· Dec 12, 2024

    crypto-trading-advisor fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ganesh Mohane· Dec 8, 2024

    Useful defaults in crypto-trading-advisor — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Amelia Nasser· Dec 8, 2024

    crypto-trading-advisor reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Rahul Santra· Nov 27, 2024

    crypto-trading-advisor has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Noah Patel· Nov 27, 2024

    crypto-trading-advisor is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Amelia Torres· Nov 15, 2024

    Solid pick for teams standardizing on skills: crypto-trading-advisor is focused, and the summary matches what you get after install.

  • Hassan Khanna· Nov 11, 2024

    Registry listing for crypto-trading-advisor matched our evaluation — installs cleanly and behaves as described in the markdown.

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