A comprehensive AI skill for tracking fishing activities, managing gear, and receiving personalized recommendations based on historical catch data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fishing
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 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 Skill for AI Agents?
The Fishing skill transforms your AI agent into a sophisticated angling assistant. By maintaining a structured local database in Markdown format, it allows users to meticulously track their fishing history, including gear inventory, species caught, and specific environmental conditions. This Openclaw Skills extension ensures that every piece of advice is grounded in your actual experience rather than generic internet data.
The skill focuses on building a long-term memory of what works at specific locations. By analyzing the relationship between weather, gear, and catch rates, it provides data-driven insights that help anglers make better decisions on the water. It is designed to be highly extensible, working alongside other utility tools to manage the entire lifecycle of a fishing trip.
Fishing Skill for AI Agents Use Cases
- Logging specific catch details such as species, weight, and environmental conditions for future reference.
- Maintaining a digital inventory of rods, reels, and tackle to receive gear-compatible recommendations.
- Analyzing seasonal patterns at favorite spots to determine the most productive times and tides.
- Transitioning between active catch logging and long-term storage of past season archives.
How Fishing Skill for AI Agents Works
- The skill initializes a dedicated workspace at
~/fishing/to store all persistent angling data. - It prioritizes reading the
memory.mdfile to identify the user's skill level and available equipment before offering advice. - As users report catches, the agent automatically updates
catches.mdwith structured metadata including date, species, and technique. - The agent learns spot-specific patterns by correlating successful catches with the notes stored in
spots.md. - When asked for suggestions, the AI synthesizes historical success with current inventory to recommend the most effective approach.
Fishing Skill for AI Agents Setup
To get started with this addition to your Openclaw Skills library, install it via the CLI:
clawhub install fishing
Once installed, initialize your gear inventory and preferences by following the template in ~/fishing/memory-template.md. To keep your skill logic updated, use the sync command:
clawhub sync
Fishing Skill for AI Agents Data Schema & Taxonomy
The skill organizes angling data into a hierarchical file structure to optimize retrieval and processing:
| Data Tier | File | Description |
|---|---|---|
| Hot Memory | memory.md |
Core preferences, tackle inventory, and currently active fishing spots. |
| Warm Memory | catches.md |
A chronological log of all catches with structured metadata (Weight, Species, Tech). |
| Warm Memory | spots.md |
Detailed location profiles including tide preferences and productive techniques. |
| Cold Memory | archive/ |
A directory for storing data from previous seasons to maintain performance. |
Fishing Skill for AI Agents Advanced Features
- Context-aware gear recommendations that only suggest items you currently own in your inventory.
- Seasonal pattern recognition that identifies high-probability windows for specific species based on monthly history.
- Multi-skill integration allowing for seamless transition to planning and reminder workflows within Openclaw Skills.
- Proactive catch logging that converts natural language descriptions into structured tabular data.
SKILL.md
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