hummingbot-heartbeat

hummingbot/skills · updated Apr 8, 2026

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$npx skills add https://github.com/hummingbot/skills --skill hummingbot-heartbeat
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summary

An OpenClaw cron skill that runs every hour and delivers a formatted Hummingbot status report to your connected chat channel (Telegram, Discord, etc.). Covers API health, Gateway container, active bots/controllers, executors, and portfolio balances.

skill.md

hummingbot-heartbeat

An OpenClaw cron skill that runs every hour and delivers a formatted Hummingbot status report to your connected chat channel (Telegram, Discord, etc.). Covers API health, Gateway container, active bots/controllers, executors, and portfolio balances.

Installation

clawhub install hummingbot-heartbeat

Or manually clone into your skills directory.

Quick Start

1. Set up the OpenClaw cron job

Ask your OpenClaw agent:

"Set up the hummingbot-heartbeat cron job"

The agent will resolve the skill path and register it with openclaw cron. Or do it manually:

# Replace <SKILL_PATH> with the actual installed path
openclaw cron add \
  --name "hummingbot-heartbeat" \
  --description "Hourly Hummingbot status check" \
  --every 1h \
  --announce \
  --channel telegram \
  --message "Run this and send output verbatim: python3 <SKILL_PATH>/scripts/bot_status.py"

2. Run manually (debug)

python3 scripts/bot_status.py
python3 scripts/bot_status.py --json

Configuration

Set via environment variables or a .env file in the skill directory:

# .env (optional — defaults shown)
HUMMINGBOT_API_URL=http://localhost:8000
API_USER=admin
API_PASS=admin
Variable Default Description
HUMMINGBOT_API_URL http://localhost:8000 Hummingbot API base URL
API_USER admin API username
API_PASS admin API password

Requirements

  • Python 3.9+
  • Hummingbot API running (see hummingbot-deploy skill)
  • Docker (optional — Gateway status check skipped if Docker unavailable)

Sample Output

🤖 Hummingbot Status — Feb 28, 2026 09:06 AM

**Infrastructure**
  API:     ✅ Up (v1.0.1)
  Gateway: ✅ Up 17 hours

**Active Bots:** none

**Active Executors:** none

**Portfolio** (total: $187.23)
  Token           Units       Price      Value
  ------------ ----------- ---------- ----------
  SOL            2.0639    $81.4996    $168.20
  USDC          19.0286     $1.0000     $19.03

What It Checks

Check Endpoint Notes
API health GET / Returns version
Gateway docker ps | grep gateway Skipped if Docker unavailable
Active bots GET /bot-orchestration/status Lists controller configs
Active executors POST /executors/search Filters out CLOSED/FAILED
Portfolio POST /portfolio/history Latest balances with prices
how to use hummingbot-heartbeat

How to use hummingbot-heartbeat 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 hummingbot-heartbeat
2

Execute installation command

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

$npx skills add https://github.com/hummingbot/skills --skill hummingbot-heartbeat

The skills CLI fetches hummingbot-heartbeat from GitHub repository hummingbot/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/hummingbot-heartbeat

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

4.438 reviews
  • Alexander Ghosh· Dec 20, 2024

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

  • Ganesh Mohane· Dec 12, 2024

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

  • Mateo Ndlovu· Dec 12, 2024

    hummingbot-heartbeat is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Zaid Zhang· Dec 8, 2024

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

  • Shikha Mishra· Dec 4, 2024

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

  • Ava Choi· Nov 27, 2024

    hummingbot-heartbeat reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Yash Thakker· Nov 23, 2024

    We added hummingbot-heartbeat from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Hassan Khan· Nov 11, 2024

    We added hummingbot-heartbeat from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ava Abbas· Oct 18, 2024

    Registry listing for hummingbot-heartbeat matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Dhruvi Jain· Oct 14, 2024

    hummingbot-heartbeat fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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