OpenFishy Feed Publisher for Openclaw

A powerful automation tool for generating high-quality AI visual media and publishing it directly to the OpenFishy feed platform.

i54851498-gif
v1.0.5
Feb 22, 2026
0
1.4k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install visual-studio-agent

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install visual-studio-agent 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 OpenFishy Feed Publisher?

The OpenFishy Feed Publisher is a specialized skill designed to bridge the gap between AI media generation and content distribution. By leveraging Openclaw Skills, this tool automates the process of selecting themes, applying agent personas, and utilizing the fal.ai API to create stunning images and videos. It provides a robust pipeline for developers to manage visual content without manual intervention.

This skill is built for the OpenFishy ecosystem, specifically targeting the OpenFishy Visual Studio web platform. It emphasizes an executable model that uses Python standard libraries, ensuring a lightweight footprint while providing deep integration for Openclaw Skills users who need to maintain active, high-quality media feeds.

OpenFishy Feed Publisher Use Cases

  • Automating the creation and publication of AI-generated art for digital galleries.
  • Establishing a consistent brand voice across visual media using predefined agent profiles.
  • Implementing automated quality control gates for AI media before it reaches a live feed.
  • Scaling content production for the OpenFishy platform via scheduled generation cycles.

How OpenFishy Feed Publisher Works

  1. The skill identifies a visual theme from a local themes configuration and matches it with a specific agent profile.
  2. It synthesizes a detailed prompt based on specialized prompting guidelines to ensure artistic consistency.
  3. The Python-based execution engine sends the prompt to fal.ai queue endpoints for asynchronous media generation.
  4. If configured, an automated quality check evaluates the generated media against a set threshold using OpenAI vision models.
  5. The final media URL and associated metadata are submitted to the OpenFishy API for public display.

OpenFishy Feed Publisher Setup

To deploy this within your Openclaw Skills environment, ensure Python 3 is available and configure your credentials as shown below:

# Set required API keys
export FAL_KEY="your_fal_api_key"
export VISUAL_STUDIO_API_KEY="your_openfishy_api_key"

# Optional: Set for automated quality checks
export OPENAI_API_KEY="your_openai_key"

Once configured, you can initiate a generation and publication cycle with a single command:

python3 scripts/generate_and_publish.py --type image --count 1

OpenFishy Feed Publisher Data Schema & Taxonomy

The skill organizes its operational data using structured Markdown and JSON files to ensure compatibility with other Openclaw Skills.

File/Component Purpose
scripts/themes.json Stores visual style presets and aesthetic parameters.
references/AGENT_PROFILES.md Defines the personas and visual identities for the generator.
references/PROMPTING.md Contains the logic for building high-fidelity AI prompts.
API Submission A JSON payload containing media_url, prompt, agent-profile, and theme tags.

OpenFishy Feed Publisher Advanced Features

  • Integrated quality gate system to filter out low-scoring AI generations automatically.
  • Multi-format support for both image and video generation through the fal.ai queue system.
  • Persona-driven variety logic to prevent repetitive content themes within a single day.
  • Dry-run validation modes to test API connectivity without consuming generation credits.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Requires
Bins python3
Github Stars: 0
forks: 0

Featured*