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Configuring Vision Agent Skill

by oxbshw

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.

508 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
336
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/oxbshw/watch-skill --skill configuring-vision

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting

The instruction itself

4 sections, as written by the author

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.

How to use it

Copy the folder

Take oxbshw/configuring-vision from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.