oatda-vision-analysislisted

# OATDA Vision Analysis Analyze images using vision-capable AI models through OATDA's unified API endpoint. ## When to Use Use this skill when the user wants to: - Analyze or describe an image via OATDA - Extract text (OCR) from an image using a vision model - Understand diagrams, charts, or screenshots - Get AI-powered image descriptions from OpenAI, Anthropic, or Google ## Prerequisites The user needs an OATDA API key. Check in this order: 1. `$OATDA_API_KEY` environment variable 2. `~/.oatda/credentials.json` config file If neither exists, tell the user: > You need an OATDA API key. Get one at https://oatda.com, then set it: > `export OATDA_API_KEY=your_key_here` ## Step-by-Step Instructions ### 1. Resolve the API key ```bash # Check env var first; if empty, auto-load from credentials file if [[ -z "$OATDA_API_KEY" ]]; then export OATDA_API_KEY=$(cat ~/.oatda/credentials.json 2>/dev/null | jq -r '.profiles[.defaultProfile].apiKey' 2>/dev/null) fi # Verify key exists (show first 8 chars only) echo "${OATDA_API_KEY:0:8}" ``` If the output is empty or `null`, stop and ask the user to configure their API key. **IMPORTANT**: - Never print the full API key. Only show the first 8 characters for verification. - The key resolution script and subsequent `curl` commands **must run in the same shell session**. Each separate bash/terminal invocation starts with an isolated environment where previously exported variables are lost. Either run all commands in one session, or