How do I install entry-signals?

Run `npx skills add https://github.com/0xhubed/agent-trading-arena --skill entry-signals` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does entry-signals support?

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

Is entry-signals free to use?

Yes. entry-signals is free to install and use. It is available from the open explainx.ai skill registry published by 0xhubed.

Where can I read ratings and reviews for entry-signals?

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 entry-signals?

Run `npx skills add https://github.com/0xhubed/agent-trading-arena --skill entry-signals` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does entry-signals support?

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

Is entry-signals free to use?

Yes. entry-signals is free to install and use. It is available from the open explainx.ai skill registry published by 0xhubed.

Where can I read ratings and reviews for entry-signals?

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 entry-signals?

Run `npx skills add https://github.com/0xhubed/agent-trading-arena --skill entry-signals` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does entry-signals support?

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

Is entry-signals free to use?

Yes. entry-signals is free to install and use. It is available from the open explainx.ai skill registry published by 0xhubed.

Where can I read ratings and reviews for entry-signals?

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 entry-signals?

Run `npx skills add https://github.com/0xhubed/agent-trading-arena --skill entry-signals` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does entry-signals support?

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

Is entry-signals free to use?

Yes. entry-signals is free to install and use. It is available from the open explainx.ai skill registry published by 0xhubed.

Where can I read ratings and reviews for entry-signals?

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 entry-signals?

Run `npx skills add https://github.com/0xhubed/agent-trading-arena --skill entry-signals` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does entry-signals support?

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

Is entry-signals free to use?

Yes. entry-signals is free to install and use. It is available from the open explainx.ai skill registry published by 0xhubed.

Where can I read ratings and reviews for entry-signals?

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 entry-signals?

Run `npx skills add https://github.com/0xhubed/agent-trading-arena --skill entry-signals` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does entry-signals support?

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

Is entry-signals free to use?

Yes. entry-signals is free to install and use. It is available from the open explainx.ai skill registry published by 0xhubed.

Where can I read ratings and reviews for entry-signals?

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 entry-signals?

Run `npx skills add https://github.com/0xhubed/agent-trading-arena --skill entry-signals` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does entry-signals support?

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

Is entry-signals free to use?

Yes. entry-signals is free to install and use. It is available from the open explainx.ai skill registry published by 0xhubed.

Where can I read ratings and reviews for entry-signals?

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 entry-signals?

Run `npx skills add https://github.com/0xhubed/agent-trading-arena --skill entry-signals` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does entry-signals support?

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

Is entry-signals free to use?

Yes. entry-signals is free to install and use. It is available from the open explainx.ai skill registry published by 0xhubed.

Where can I read ratings and reviews for entry-signals?

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 entry-signals?

Run `npx skills add https://github.com/0xhubed/agent-trading-arena --skill entry-signals` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does entry-signals support?

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

Is entry-signals free to use?

Yes. entry-signals is free to install and use. It is available from the open explainx.ai skill registry published by 0xhubed.

Where can I read ratings and reviews for entry-signals?

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 entry-signals?

Run `npx skills add https://github.com/0xhubed/agent-trading-arena --skill entry-signals` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does entry-signals support?

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

Is entry-signals free to use?

Yes. entry-signals is free to install and use. It is available from the open explainx.ai skill registry published by 0xhubed.

Where can I read ratings and reviews for entry-signals?

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 entry-signals?

Run `npx skills add https://github.com/0xhubed/agent-trading-arena --skill entry-signals` in your terminal. You need to have run `npx skills init` once in your project first.

Productivity

entry-signals▌

0xhubed/agent-trading-arena · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/0xhubed/agent-trading-arena --skill entry-signals

0 commentsdiscussion

summary

Last updated: 2026-01-17 16:36 UTC

›Active patterns: 30
›Total samples: 5095
›Confidence threshold: 60%

skill.md

Entry Signals

Last updated: 2026-01-17 16:36 UTC Active patterns: 30 Total samples: 5095 Confidence threshold: 60%

Entry Signals

These entry signals have been learned from competition data:

Signal	Success Rate	Samples	Confidence	Seen
Multi-timeframe bullish alignment (...	88%	164	85%	1x
Multi-timeframe bullish alignment (...	85%	157	75%	1x
Multi-timeframe bullish alignment (...	85%	164	80%	1x
Multi-timeframe bullish alignment (...	85%	164	85%	1x
SMA crossover + bullish MACD + neut...	82%	184	80%	1x
SMA crossover + bullish MACD + neut...	82%	184	85%	1x
SMA crossover + bullish MACD + neut...	82%	184	85%	1x
Scaling into existing winning posit...	80%	157	75%	1x
Scaling into existing winning posit...	78%	164	80%	1x
Multi-timeframe bullish alignment (...	75%	89	95%	1x
Multi-timeframe bearish alignment f...	65%	103	95%	1x
Relative strength divergence (one a...	45%	79	60%	1x
SMA and MACD bearish signals for sh...	35%	50	60%	1x
High funding rate alone as bullish ...	35%	248	75%	1x
High funding rate alone as bullish ...	35%	248	80%	1x
High funding rate alone as bullish ...	35%	247	85%	1x
High funding rate alone as bullish ...	35%	247	85%	1x
Multi-timeframe bearish alignment f...	35%	201	95%	1x
Positive funding rate interpreted a...	30%	208	60%	1x
Multi-timeframe bullish alignment (...	30%	160	95%	1x
RSI overbought + MACD bearish as sh...	30%	355	95%	1x
Multi-timeframe bullish alignment (...	25%	88	95%	1x
Negative funding rate as long oppor...	25%	180	95%	1x
Multi-timeframe bearish alignment f...	25%	173	95%	1x
Relative strength divergence (one a...	20%	72	70%	1x
Positive momentum on small timefram...	20%	76	95%	1x
Contrarian 'bounce back' reasoning ...	20%	180	95%	1x
Multi-timeframe bullish alignment (...	18%	294	74%	2x
SMA and MACD bearish signals for sh...	18%	50	70%	1x
Positive funding rate interpreted a...	15%	225	70%	1x

Signal Details

Multi-timeframe bullish alignment (15m, ...

Success rate: 88% Total samples: 164 Confidence: 85% Times confirmed: 1 First seen: 2026-01-14 Description: Multi-timeframe bullish alignment (15m, 1h, 4h) WITH explicit risk validation and trade validation checks - skill_aware_oss uses this consistently with strong results (+$1236.81)

Multi-timeframe bullish alignment (15m, ...

Success rate: 85% Total samples: 157 Confidence: 75% Times confirmed: 1 First seen: 2026-01-14 Description: Multi-timeframe bullish alignment (15m, 1h, 4h) combined with explicit risk validation produces profits in trending markets. skill_aware_oss: 'All timeframes bullish, technical indicators show bullish bias, no performance issues'.

Multi-timeframe bullish alignment (15m, ...

Success rate: 85% Total samples: 164 Confidence: 80% Times confirmed: 1 First seen: 2026-01-14 Description: Multi-timeframe bullish alignment (15m, 1h, 4h) WITH explicit risk validation produces profitable entries. skill_aware_oss: 'Multi-timeframe analysis shows strong bullish alignment and high momentum... validation passes'. Success requires both trend confirmation AND risk checks.

Multi-timeframe bullish alignment (15m, ...

Success rate: 85% Total samples: 164 Confidence: 85% Times confirmed: 1 First seen: 2026-01-14 Description: Multi-timeframe bullish alignment (15m, 1h, 4h) WITH explicit risk validation and trade validation passed - produces strong returns in trending markets

SMA crossover + bullish MACD + neutral B...

Success rate: 82% Total samples: 184 Confidence: 80% Times confirmed: 1 First seen: 2026-01-14 Description: SMA crossover + bullish MACD + neutral Bollinger as entry confirmation. agentic_gptoss: 'Technical indicators (SMA crossover, bullish MACD, neutral Bollinger) support a long entry'. Combined with risk calculator validation.

Confidence Guide

Confidence	Interpretation
90%+	High confidence - strong historical support
70-90%	Moderate confidence - use with other signals
60-70%	Low confidence - consider as one input
<60%	Experimental - needs more data

This skill is automatically generated and updated by the Observer Agent.

how to use entry-signals

How to use entry-signals 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 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 entry-signals

Execute installation command

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

$npx skills add https://github.com/0xhubed/agent-trading-arena --skill entry-signals

The skills CLI fetches entry-signals from GitHub repository 0xhubed/agent-trading-arena and configures it for Cursor.

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

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/entry-signals

Reload or restart Cursor to activate entry-signals. Access the skill through slash commands (e.g., /entry-signals) 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.

Additional Resources

›View source code on GitHub ›Skills CLI documentation ›Learn more about Cursor ›What are agent skills?

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

Installation Steps

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

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

Discussion

Product Hunt–style comments (not star reviews)

No comments yet — start the thread.

general reviews

Ratings

4.8★★★★★42 reviews

★★★★★Zara Li· Dec 16, 2024
entry-signals reduced setup friction for our internal harness; good balance of opinion and flexibility.
★★★★★Zara Zhang· Dec 16, 2024
entry-signals has been reliable in day-to-day use. Documentation quality is above average for community skills.
★★★★★Chaitanya Patil· Dec 8, 2024
Keeps context tight: entry-signals is the kind of skill you can hand to a new teammate without a long onboarding doc.
★★★★★Pratham Ware· Dec 4, 2024
entry-signals fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
★★★★★Piyush G· Nov 27, 2024
entry-signals has been reliable in day-to-day use. Documentation quality is above average for community skills.
★★★★★Camila Ramirez· Nov 23, 2024
Registry listing for entry-signals matched our evaluation — installs cleanly and behaves as described in the markdown.
★★★★★Tariq Chawla· Nov 7, 2024
I recommend entry-signals for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
★★★★★Sakura Menon· Nov 7, 2024
Keeps context tight: entry-signals is the kind of skill you can hand to a new teammate without a long onboarding doc.
★★★★★Zara Mensah· Oct 26, 2024
Useful defaults in entry-signals — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
★★★★★Sakura Iyer· Oct 26, 2024
entry-signals is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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