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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…

Skill by Pa1loh

IndexedMIT
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/pa1loh-configuring-vision

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

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.

Use cases: backend, ml, agent-building

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/configuring-vision

Tools it pre-approves 2

From allowed-tools in SKILL.md: the agent may use these without asking you each time.

  • Bash,
  • Read

What's inside

Skill name
configuring-vision
Description
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.
License
MIT
Allowed tools
Bash,, Read
Instructions
46 lines in SKILL.md · view on GitHub

Before installing

  • Pre-approves some shell commands

Files (1)

  • SKILL.md

SKILL.md (first lines)

# 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

```bash
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:

```bash
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:

```bash
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.

From Pa1loh/PadraoAI, MIT.

More from Pa1loh/PadraoAI

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Last commit (this folder)
Oct 15, 2026 (13 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from Pa1loh

Cite this page

configuring-vision skill. Agent Mart. https://agentmart.dev/skills/pa1loh-configuring-vision (last updated 2026-10-24)