configuring-vision
The user wants to connect an LLM or vision provider, already has an API key, asks "can I use OpenAI/Anthropic/Gemini/OpenRouter", wants local Ollama, or needs different cheap and strong models. Use this to configure provider-neutral visual understanding without tying Watch Skill to one agent or model vendor.
- Installs
- 514
- Last 24h
- +17
- Trending rank
- #6472
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/oxbshw/watch-skill --skill configuring-vision- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads configuring-vision automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Configuring vision
Watch Skill's agent surface and model backend are separate choices. Claude Code, Codex, Cursor, OpenClaw, framework agents, and REST clients all call the same engine; the engine can send selected frames to any supported vision provider.
Supported providers
watch-skill setup-vision --provider anthropic --api-key <KEY>
watch-skill setup-vision --provider openai --api-key <KEY>
watch-skill setup-vision --provider gemini --api-key <KEY>
watch-skill setup-vision --provider openrouter --api-key <KEY>
watch-skill setup-vision --provider ollama
Prefer a key the user already has. Do not claim Ollama is required, and do not ask the user to reveal a secret in chat. They can set the matching environment variable or run the command privately in their terminal.
Route bulk work and verification separately
One model can serve both tiers:
watch-skill setup-vision --provider openai --api-key <KEY> --model <vision-model>
Or use a cheaper model for scene descriptions and a stronger model for uncertain answers and loop critiques:
watch-skill setup-vision --provider openrouter --api-key <KEY> \
--cheap-model <fast-vision-model> --strong-model <strong-vision-model>
Add --verify to make one live probe call. If it fails, report the structured error
and its fix; never echo the key.
No provider is also valid
Without a vision API, Watch Skill still acquires video, reads captions, runs local transcription and OCR, indexes evidence, and searches it. Visual synthesis degrades to timestamped evidence instead of guessing.
FAQ
What does the configuring-vision skill do?
The user wants to connect an LLM or vision provider, already has an API key, asks "can I use OpenAI/Anthropic/Gemini/OpenRouter", wants local Ollama, or needs different cheap and strong models. Use this to configure provider-neutral visual understanding without tying Watch Skill to one agent or model vendor.
How do I install configuring-vision?
Run npx skills add https://github.com/oxbshw/watch-skill --skill configuring-vision in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/configuring-vision/ (personal) or .claude/skills/configuring-vision/ (project).
Which AI agents can use configuring-vision?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is configuring-vision safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains configuring-vision?
It is published by oxbshw in oxbshw/watch-skill. It has 514 recorded installs.
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