An intelligent angling companion that extracts GPS data from fishing spot photos and cross-references real-time meteorology and computer vision terrain metrics to deliver highly targeted fishing strategy reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fishing-spot-analyzer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install fishing-spot-analyzer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Fishing Spot Analyzer?
Fishing Spot Analyzer is a specialized agentic workflow built for the Openclaw Skills ecosystem designed to serve as an expert angling master with decades of field experience. The skill processes user-submitted landscape photographs of fishing spots to instantly analyze physical geography, evaluate terrain-specific parameters, and parse metadata for automated location pinning.
By uniting visual evaluation with real-time environmental APIs, this skill automates the complex mathematical deduction behind calculating a spot's viability score. It handles localization faults gracefully and provides deep data insights to developers and outdoor enthusiasts looking to build smart agricultural, recreational, or biological tracking agent systems.
Fishing Spot Analyzer Use Cases
- Automating recreational fishing site assessments via visual and sensory data compilation.
- Generating comprehensive predictive reports on target fish species availability based on active weather parameters.
- Providing instant gear, bait, and groundbait configuration strategies mapped directly to current water and barometric conditions.
- Implementing structural safety and legal compliance filtering for outdoor sports applications.
How Fishing Spot Analyzer Works
- Triggering Intent: The agent initializes the workspace when explicit user intent regarding fishing spot assessment or location viability analysis is detected.
- Image Ingestion: The system requests a panoramic photo of the target body of water, focusing on terrain markers such as shore weeds, bridge piers, and water surface dynamics.
- Dual-Layer Geo-Location: The asset pipeline attempts an automated extraction of EXIF GPS coordinates (latitude and longitude) from the image. If stripped, the workflow prompts for manual fallback input (city or county level) to derive approximate spatial metrics.
- Environmental Fetching: The skill executes an asynchronous programmatic GET request using
web_fetchtargeting the Open-Meteo API to extract surface pressure, temperature, wind velocity, wind direction, and precipitation values. - Algorithmic Evaluation: The background execution loop computes a comprehensive location score ranging from 0 to 100 based on core base points, meteorological criteria, and positive/negative geographic feature weighting.
- Predictive Analytics & Output: The system applies season-based baseline indices alongside topographic modifiers to output ranked fish species probabilities alongside precise gear configurations.
Fishing Spot Analyzer Setup
Prerequisites
Ensure your agent runtime configuration supports the Openclaw Skills standard execution environment with automated visual parsing capabilities enabled.
Tool Integration
No external API keys are required for weather collection, as the endpoint consumes the public open-source meteorology network. Ensure your agent configuration allows outbound network requests to api.open-meteo.com.
Deployment
To instantiate the core configuration schema inside your local environment repository, create the tracking file:
touch skills/fishing-spot-analyzer.md
Populate your file structure using the predefined system prompts to establish the 20-year master angler persona layer.
Fishing Spot Analyzer Data Schema & Taxonomy
Assessment Score Formulation
The overall viability matrix relies on a balanced evaluation configuration modeled as follows:
$$\text{Total Score} = \text{Base Score (30)} + \text{Weather Points (0 to 70)} + \text{Topography Modifiers (-30 to +30)}$$
Meteorological Weight Taxonomy
| Sensor Metric | Evaluation Range | Weight Impact | Operational Output Profile |
|---|---|---|---|
| Surface Pressure | 1010 hPa - 1025 hPa | +30 Points | Optimal - Maximum metabolic fish activity |
| Surface Pressure | 1005 hPa - 1009 hPa | +20 Points | Good - Standard operational parameters |
| Surface Pressure | < 995 hPa | -20 Points | Critical Low - Sub-optimal conditions warning |
| Temperature | 15°C - 28°C | +15 Points | Optimal - Peak kinetic performance window |
| Wind Direction | 112.5° - 247.5° (Southerly) | +15 Points | Warm/Humid air current activation |
| Wind Velocity | 0 km/h - 19 km/h (0-2 Beaufort) | +10 Points | Ideal surface agitation and oxygenation |
Topographic Assessment Modifiers
| Identified Landscape Features | Score Weight | Native Species Modification Factor |
|---|---|---|
| Dense Aquatic Weed Beds | +15 Points | Crucian Carp +25, Common Carp +15 |
| River Bends / Estuaries | +15 Points | Common Carp +20, Crucian Carp +10 |
| Inlets / Outlets | +20 Points | Hemiculter leucisculus +30, Culter alburnus +25 |
| Clear Shallow Flatbeds | -15 Points | High thermal absorption penalty |
| Torrential Rapid Zones | -20 Points | Feeding disruption penalty |
Fishing Spot Analyzer Advanced Features
- EXIF Metadata Fallback Automation: Features a resilient two-tier positioning algorithm that bypasses data loss from messaging platform compression layers via context-aware user fallback prompts.
- Degraded Execution Sub-routine: If remote API endpoints or position lookups fail entirely, the skill falls back to macro-seasonal calculations to guarantee structured output generation.
- Algorithmic Species Filter: Employs mathematical dynamic suppression; species scoring $\le 0$ are automatically pruned from final report matrices to optimize display data payload clean-up.
- Safety & Compliance Circuit Breakers: Integrates hardcoded regulatory filters that automatically append high-visibility warnings when hazardous structures or直直 cliffs are processed by the computer vision layer.
SKILL.md
Loading
Related Openclaw Skills
Core Bid Winner Profiler
An advanced market intelligence and commercial data analytics skill designed to reverse-engineer any enterprise's public bidding success, revenue streams, and core government or enterprise customer profiles.
Chinese Subtext Decoder
The Chinese Subtext Decoder analyzes indirect Chinese communications to uncover euphemisms, hidden dissatisfactions, and true intents in workplace and personal chats.
Strategic Partnership Analyzer
A business intelligence skill that penetrates standard PR announcements to expose the concrete depth and commercial realities of corporate alliances.
dating-avoidpit
An AI-powered defensive analysis tool designed to identify toxic behavioral patterns, manipulation, and relationship red flags from chat history snippets.
robinhood-agentic
A Model Context Protocol (MCP) integration that connects Openclaw Skills to Robinhood Agentic Trading for automated portfolio tracking, real-time market data access, and instant order execution.
WeChat Pay Global Payment
An expert AI assistant designed to streamline WeChat Pay cross-border payment integration for global institutions and merchants across 7 products and 9 languages.
Featured*
