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Maritime Watch

maritime watch

apacheua0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install apacheua/maritime-watch

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

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Skill instructions

maritime-watch

Description

A skill for monitoring the status and security of the Chornomorsk port. It collects data from various sources, including weather reports, vessel tracking services, and news feeds, to provide a comprehensive overview of the port's operational status and potential risks. It is built to be resilient against API Rate Limits and to cross-validate data from multiple sources to avoid hallucinations.

Inputs

  • port: The name of the port to monitor (default: Chornomorsk).

Outputs

JSON object containing the following information:

  • weather: Current weather conditions at the port (cross-validated).
  • vessels: List of vessels currently in port or approaching (cross-validated).
  • security: Security status of the port (e.g., alerts, warnings) (cross-validated).
  • news: Recent news related to the port.

Usage

To use this skill, simply call it with the port parameter:

maritime-watch port=Chornomorsk

Example

{
  "weather": {
    "temperature": 10,
    "conditions": "Cloudy"
  },
  "vessels": [
    {
      "name": "MV Example",
      "status": "Arrived"
    }
  ],
  "security": {
    "status": "Normal"
  },
  "news": [
    {
      "title": "Port expansion project announced",
      "url": "https://example.com/news"
    }
  ]
}

Source information

Source
github
Repository
openclaw/skills
Path
skills/apacheua/maritime-watch
Version
—
Commit
7007b54c5f239c7892d29f44de36e86df8e4dc63
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

Maritime Watch Skill

This skill is designed to monitor the status and security of the Chornomorsk port.

Next Steps

  1. Implement data fetching from various sources (weather, vessel tracking, security alerts).
  2. Parse the data and construct a JSON output.
  3. Add error handling and logging.
  4. Test the skill and refine its functionality.

Extracted content

SKILL.md
# maritime-watch

## Description

A skill for monitoring the status and security of the Chornomorsk port. It collects data from various sources, including weather reports, vessel tracking services, and news feeds, to provide a comprehensive overview of the port's operational status and potential risks. It is built to be resilient against API Rate Limits and to cross-validate data from multiple sources to avoid hallucinations.

## Inputs

*   `port`: The name of the port to monitor (default: Chornomorsk).

## Outputs

JSON object containing the following information:

*   `weather`: Current weather conditions at the port (cross-validated).
*   `vessels`: List of vessels currently in port or approaching (cross-validated).
*   `security`: Security status of the port (e.g., alerts, warnings) (cross-validated).
*   `news`: Recent news related to the port.

## Usage

To use this skill, simply call it with the `port` parameter:

```
maritime-watch port=Chornomorsk
```

## Example

```json
{
  "weather": {
    "temperature": 10,
    "conditions": "Cloudy"
  },
  "vessels": [
    {
      "name": "MV Example",
      "status": "Arrived"
    }
  ],
  "security": {
    "status": "Normal"
  },
  "news": [
    {
      "title": "Port expansion project announced",
      "url": "https://example.com/news"
    }
  ]
}
```
README
# Maritime Watch Skill

This skill is designed to monitor the status and security of the Chornomorsk port.

## Next Steps

1.  Implement data fetching from various sources (weather, vessel tracking, security alerts).
2.  Parse the data and construct a JSON output.
3.  Add error handling and logging.
4.  Test the skill and refine its functionality.

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