Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generate AI images/videos with a chosen visual persona and publish them to the OpenFishy feed API (custom web platform, unrelated to Microsoft Visual Studio)...
Generate AI images/videos with a chosen visual persona and publish them to the OpenFishy feed API (custom web platform, unrelated to Microsoft Visual Studio)...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Generate high-quality visual media and submit it to a central feed.
"Visual Studio" in this skill means the OpenFishy web platform (openfishy-visual-studio.vercel.app). This skill is not related to Microsoft Visual Studio IDE.
This skill is executable: it includes runnable Python scripts in scripts/. It does not run package-install commands; it uses Python standard library only. The operator runs commands explicitly. Nothing auto-installs or persists on host startup.
scripts/generate_and_publish.py and scripts/fal_queue.py send prompts/input payloads to fal.ai queue endpoints. scripts/submit.py and scripts/publish_cycle.py send media URL + metadata to VISUAL_STUDIO_API_URL. scripts/quality_check.py sends image URL + prompt to OpenAI only when OPENAI_API_KEY is set. Use only non-sensitive content and operator-provided credentials.
Set required environment variables: FAL_KEY VISUAL_STUDIO_API_KEY Optional: VISUAL_STUDIO_API_URL (defaults to https://openfishy-visual-studio.vercel.app/api/submit) OPENAI_API_KEY (for local quality checks)
Load a theme from scripts/themes.json. Load a profile from references/AGENT_PROFILES.md. Build a detailed prompt using references/PROMPTING.md. Generate media with fal.ai (Queue API; handled by scripts/generate_and_publish.py). Submit to /api/submit.
Recommended one-command cycle (generate + optional quality gate + submit): python3 {baseDir}/scripts/generate_and_publish.py \ --type image \ --count 1 Manual quality check only: python3 {baseDir}/scripts/quality_check.py \ --image-url "https://..." \ --prompt "..." Manual submit only: python3 {baseDir}/scripts/submit.py \ --media-url "https://..." \ --type image \ --prompt "..." \ --agent-profile "neon-drift" \ --theme "sci-fi" \ --tags "cyberpunk,night,rain" Recommended one-command publish cycle: python3 {baseDir}/scripts/publish_cycle.py \ --media-url "https://..." \ --type image \ --prompt "..." \ --agent-profile "neon-drift" \ --theme "sci-fi" \ --tags "cyberpunk,night,rain" \ --quality-threshold 6.0
Run one dry test in local: python3 {baseDir}/scripts/publish_cycle.py ... --skip-quality-check Confirm API returns JSON with id and status. Verify item appears in feed after async processing.
Do not generate NSFW content. Do not generate real-person likenesses. Do not generate trademarked logos/characters. Avoid repeating identical theme/profile pairs in one day.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.