media-tools

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Two CLI tools for image generation + vision analysis using goclaw's provider-chain pattern. `create_image` generates images via 7-provider chain (ChatGPT-OAuth/Codex, OpenRouter, Gemini, OpenAI, MiniMax, DashScope, BytePlus) — first available credential wins (OAuth session OR API key), embeds prompt into PNG tEXt metadata, saves to date-folder workspace. The ChatGPT-OAuth provider reads from `~/.codex/auth.json` so a ChatGPT Plus / Codex login works without any API key. `read_image` analyzes images via 4-provider vision chain (OpenRouter, Gemini, Anthropic, DashScope) — accepts file path. Supports `--prompt-file` for long/multi-line prompts, auto UTF-8 stdout, `.env` auto-load, and `--list-providers` diagnostic. Use when Claude needs to generate images or run vision analysis with a specific provider rather than relying on Claude's built-in image understanding.

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Source SKILL.md: https://github.com/therichardngai-code/gpt-image-2-pro-max/blob/HEAD/.claude/skills/media-tools/SKILL.md

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Media Tools

Python ports of goclaw's create_image and read_image tools. Faithful provider-chain pattern: priority order, skip-if-no-key, first-success-wins, cascade-on-failure.

Setup

.claude/skills/.venv/Scripts/python.exe -m pip install -r .claude/skills/media-tools/requirements.txt

API keys (env vars)

Set whichever providers you have keys for. Chain skips providers without keys.

# Image generation
$env:OPENROUTER_API_KEY = "..."   # OpenRouter (aggregator, OpenAI-compat)
$env:GEMINI_API_KEY     = "..."   # Google AI Studio
$env:OPENAI_API_KEY     = "..."   # OpenAI gpt-image
$env:MINIMAX_API_KEY    = "..."   # MiniMax image-01
$env:DASHSCOPE_API_KEY  = "..."   # Alibaba Qwen / Wan2.6
$env:BYTEPLUS_API_KEY   = "..."   # ByteDance Seedream

# Vision (some keys overlap with image gen)
$env:ANTHROPIC_API_KEY  = "..."   # Anthropic Claude vision

# Optional API base overrides (for proxies / regional endpoints)
$env:OPENROUTER_API_BASE = "https://openrouter.ai/api/v1"
$env:OPENAI_API_BASE     = "https://api.openai.com/v1"
# etc — see lib/env_keys.py for full list

create_image

.claude/skills/.venv/Scripts/python.exe .claude/skills/media-tools/scripts/create_image.py \
  --prompt "a cyberpunk cat in neon rain, ukiyo-e style" \
  --aspect-ratio 16:9 \
  --filename-hint "neon-cat"

Options:

--prompt (required) — text description
--aspect-ratio — 1:1 (default) | 3:4 | 4:3 | 9:16 | 16:9
--filename-hint — kebab-slug for output file (no extension)
--workspace — output dir; default $WEB_TOOLS_WORKSPACE or OS temp
--provider — force a specific provider (skip chain): chatgpt_oauth|openrouter|gemini|openai|minimax|dashscope|byteplus
--provider-order — comma-separated chain override (default: chatgpt_oauth,openrouter,gemini,openai,minimax,dashscope,byteplus)
--reference-image PATH — seed generation with a reference image (PNG/JPG/WEBP). Repeatable, max 4. Supported by chatgpt_oauth, gemini, openai; chain auto-skips others when refs are present.

Output saved to <workspace>/generated/<YYYY-MM-DD>/<name>.png with prompt embedded in PNG tEXt metadata.

Reference-image example (image-to-image / restyle / character-consistency)

.claude/skills/.venv/Scripts/python.exe .claude/skills/media-tools/scripts/create_image.py \
  --prompt "Same character, now wearing a red trench coat, neon Tokyo street at night" \
  --reference-image ./character.png \
  --aspect-ratio 9:16

read_image

.claude/skills/.venv/Scripts/python.exe .claude/skills/media-tools/scripts/read_image.py \
  --path "C:/path/to/image.png" \
  --prompt "Describe this image in detail. What text appears?"

Options:

--prompt (required) — what to ask about the image
--path (required) — local image file (jpg/png/gif/webp/bmp, ≤10MB)
--provider — force specific provider: openrouter|gemini|anthropic|dashscope
--provider-order — comma-separated chain (default: openrouter,gemini,anthropic,dashscope)
--max-tokens — response max tokens (default 1024)

Patterns ported from goclaw

Pattern	goclaw source	skill file
Provider chain (priority + skip-no-key + first-success)	`media_provider_chain.go`	`lib/chain.py`
OpenRouter image (OpenAI-compat + modalities)	`create_image.go:callImageGenAPI`	`lib/providers/openrouter_image.py`
Gemini image (native generateContent + responseModalities)	`create_image.go:callGeminiNativeImageGen`	`lib/providers/gemini_image.py`
OpenAI image (`/images/generations`)	`create_image.go:callStandardImageGenAPI`	`lib/providers/openai_image.py`
MiniMax image (`/image_generation`)	`create_image_minimax.go`	`lib/providers/minimax_image.py`
DashScope image (async task polling)	`create_image_dashscope.go`	`lib/providers/dashscope_image.py`
BytePlus Seedream (`/api/v3/images/generations` + URL download)	`create_image_byteplus.go`	`lib/providers/byteplus_image.py`
Vision providers (4-way chain)	`read_image.go` + provider Chat()	`lib/providers/*_vision.py`
PNG tEXt prompt embedding	`pngEmbedPrompt`	`lib/png_metadata.py`
Date-folder workspace + sanitized filename	`mediaFileName`	`lib/filename.py`

Aspect-ratio mapping

Each provider has its own size convention; the skill maps --aspect-ratio to each:

aspect	dashscope	byteplus	minimax/openrouter/gemini
1:1	1024*1024	1024x1024	1:1 (passed through)
16:9	1280*720	1280x720	16:9
9:16	720*1280	720x1280	9:16
4:3	1024*768	1024x768	4:3
3:4	768*1024	768x1024	3:4