How do I install market-sentiment?

Run `npx skills add https://github.com/kukapay/crypto-skills --skill market-sentiment` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does market-sentiment support?

market-sentiment works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is market-sentiment free to use?

Yes. market-sentiment is free to install and use. It is available from the open explainx.ai skill registry published by kukapay.

Where can I read ratings and reviews for market-sentiment?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install market-sentiment?

Run `npx skills add https://github.com/kukapay/crypto-skills --skill market-sentiment` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does market-sentiment support?

market-sentiment works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is market-sentiment free to use?

Yes. market-sentiment is free to install and use. It is available from the open explainx.ai skill registry published by kukapay.

Where can I read ratings and reviews for market-sentiment?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install market-sentiment?

Run `npx skills add https://github.com/kukapay/crypto-skills --skill market-sentiment` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does market-sentiment support?

market-sentiment works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is market-sentiment free to use?

Yes. market-sentiment is free to install and use. It is available from the open explainx.ai skill registry published by kukapay.

Where can I read ratings and reviews for market-sentiment?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install market-sentiment?

Run `npx skills add https://github.com/kukapay/crypto-skills --skill market-sentiment` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does market-sentiment support?

market-sentiment works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is market-sentiment free to use?

Yes. market-sentiment is free to install and use. It is available from the open explainx.ai skill registry published by kukapay.

Where can I read ratings and reviews for market-sentiment?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install market-sentiment?

Run `npx skills add https://github.com/kukapay/crypto-skills --skill market-sentiment` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does market-sentiment support?

market-sentiment works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is market-sentiment free to use?

Yes. market-sentiment is free to install and use. It is available from the open explainx.ai skill registry published by kukapay.

Where can I read ratings and reviews for market-sentiment?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install market-sentiment?

Run `npx skills add https://github.com/kukapay/crypto-skills --skill market-sentiment` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does market-sentiment support?

market-sentiment works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is market-sentiment free to use?

Yes. market-sentiment is free to install and use. It is available from the open explainx.ai skill registry published by kukapay.

Where can I read ratings and reviews for market-sentiment?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install market-sentiment?

Run `npx skills add https://github.com/kukapay/crypto-skills --skill market-sentiment` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does market-sentiment support?

market-sentiment works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is market-sentiment free to use?

Yes. market-sentiment is free to install and use. It is available from the open explainx.ai skill registry published by kukapay.

Where can I read ratings and reviews for market-sentiment?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install market-sentiment?

Run `npx skills add https://github.com/kukapay/crypto-skills --skill market-sentiment` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does market-sentiment support?

market-sentiment works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is market-sentiment free to use?

Yes. market-sentiment is free to install and use. It is available from the open explainx.ai skill registry published by kukapay.

Where can I read ratings and reviews for market-sentiment?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install market-sentiment?

Run `npx skills add https://github.com/kukapay/crypto-skills --skill market-sentiment` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does market-sentiment support?

market-sentiment works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is market-sentiment free to use?

Yes. market-sentiment is free to install and use. It is available from the open explainx.ai skill registry published by kukapay.

Where can I read ratings and reviews for market-sentiment?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install market-sentiment?

Run `npx skills add https://github.com/kukapay/crypto-skills --skill market-sentiment` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does market-sentiment support?

market-sentiment works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is market-sentiment free to use?

Yes. market-sentiment is free to install and use. It is available from the open explainx.ai skill registry published by kukapay.

Where can I read ratings and reviews for market-sentiment?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install market-sentiment?

Run `npx skills add https://github.com/kukapay/crypto-skills --skill market-sentiment` in your terminal. You need to have run `npx skills init` once in your project first.

Productivity

market-sentiment

This skill enables aggregation of news from popular cryptocurrency RSS feeds, performs sentiment analysis on the articles, and computes a market sentiment score ranging from -1 (highly negative) to +1 (highly positive), along with evidence-based explanations.

kukapay/crypto-skills|Updated Apr 8, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

total installs

this week

GitHub stars

upvotes

Install Skill

Run in your terminal

$npx skills add https://github.com/kukapay/crypto-skills --skill market-sentiment

installs

this week

stars

View on GitHub

market sentiment

0 commentsJoin discussion →

Installation Guide

Select your AI agent

How to use market-sentiment on Cursor

AI-first code editor with Composer

Prerequisites

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

›Cursor installed and configured on your machine
›Node.js 16+ with npm — verify with node --version
›Active project directory where you want to add market-sentiment

Run the install command

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

$npx skills add https://github.com/kukapay/crypto-skills --skill market-sentiment

Fetches market-sentiment from kukapay/crypto-skills and configures it for Cursor.

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ────────────────

│ · Cline · Codex · Goose · Windsurf

│ ●Cursor(selected)

│ · Cursor · Aider · Continue

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/market-sentiment

Restart Cursor to activate market-sentiment. Access via /market-sentiment in your agent's command palette.

⚠

Security 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 environment. Always review source, verify the publisher, and test in isolation before production.

›View source on GitHub ›Skills CLI docs ›About Cursor ›What are agent skills?

Documentation

Crypto Market Sentiment

Overview

Workflow

Follow these steps to analyze crypto market sentiment:

Select RSS Feeds: Choose popular crypto RSS feeds (see references/rss_feeds.md for a curated list).
Fetch News: Retrieve recent articles from the selected feeds.
Analyze Sentiment: Classify each article's sentiment as positive (+1), negative (-1), or neutral (0) based on content keywords and context.
Calculate Score: Compute the average sentiment score across all articles.
Generate Explanation: Provide evidence from the news items supporting the score.

Sentiment Classification Guidelines

Positive (+1): News about adoption, launches, partnerships, ETF approvals, price rallies, regulatory wins, or technological breakthroughs.
Negative (-1): News about hacks, crashes, regulatory crackdowns, liquidations, delays, or criticisms.
Neutral (0): Factual updates, mixed outcomes, or speculative content without clear bias.

Output Format

The skill outputs:

Sentiment Score: Numerical value between -1 and 1.
Explanation: Breakdown by feed/source, key positive/negative drivers, and overall market implications.

Resources

scripts/

sentiment_analyzer.py: Python script to fetch RSS feeds, parse articles, and compute sentiment score. Run with python sentiment_analyzer.py to get automated results.

references/

rss_feeds.md: List of popular crypto RSS feeds with URLs and descriptions.
sentiment_examples.md: Examples of sentiment classification for common news types.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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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

Steps

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

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

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Reviews

4.6★★★★★35 reviews

H
Harper Malhotra★★★★★Dec 28, 2024
Keeps context tight: market-sentiment is the kind of skill you can hand to a new teammate without a long onboarding doc.
D
Dev Sanchez★★★★★Dec 28, 2024
We added market-sentiment from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
M
Mei Flores★★★★★Dec 24, 2024
market-sentiment is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
G
Ganesh Mohane★★★★★Dec 8, 2024
market-sentiment has been reliable in day-to-day use. Documentation quality is above average for community skills.
S
Sakshi Patil★★★★★Nov 27, 2024
market-sentiment reduced setup friction for our internal harness; good balance of opinion and flexibility.
A
Aarav Mehta★★★★★Nov 19, 2024
Registry listing for market-sentiment matched our evaluation — installs cleanly and behaves as described in the markdown.
D
Diya Agarwal★★★★★Nov 19, 2024
market-sentiment fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
C
Chaitanya Patil★★★★★Oct 18, 2024
We added market-sentiment from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
M
Michael Menon★★★★★Oct 10, 2024
Useful defaults in market-sentiment — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
N
Naina Garcia★★★★★Oct 10, 2024
market-sentiment has been reliable in day-to-day use. Documentation quality is above average for community skills.

market-sentiment

Install Skill

Installation Guide

How to use market-sentiment on Cursor

Prerequisites

Run the install command

Select Cursor when prompted

Verify installation

Security Notice

Documentation

Crypto Market Sentiment

Overview

Workflow

Sentiment Classification Guidelines

Output Format

Resources

scripts/

references/

List & Monetize Your Skill

Use Cases

User Story & Requirements Generation

Competitive Analysis

Roadmap Prioritization

Stakeholder Communication

Implementation Guide

Best Practices

When to Use This

Learning Path

Related Skills

grill-me

premortem

deslop

framer-motion

write-a-prd

travel-planner

Reviews

Discussion