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baoyu-skills/skills/baoyu-image-gen/references/config/first-time-setup.md
T
Jim Liu 宝玉 2c800c670a [codex] Refactor skills into focused references (#135)
* docs: add runtime-neutral User Input Tools convention across skills

Introduce docs/user-input-tools.md as the author-side canonical source
and inline the tool-selection rule into every SKILL.md that prompts
the user. Also add Skill Self-Containment and User Input Tools sections
to CLAUDE.md and the copy-verbatim template to docs/creating-skills.md,
so skills stay portable across Claude Code, Codex, Hermes, and other
runtimes.

* feat: runtime-neutral image generation convention across skills

- Introduce inline `## Image Generation Tools` rule in every rendering SKILL.md so skills delegate backend choice instead of hard-coding one; author-side canonical copy lives in docs/image-generation-tools.md.
- Add `## Reference Images` support (`--ref`, frontmatter `references:` with direct/style/palette usage) to all seven image-rendering skills.
- Move build-batch.ts (with ref propagation into batch JSON) from baoyu-article-illustrator to baoyu-imagine so non-backend skills don't own backend-specific scripts; update baoyu-image-gen stub in sync and relax the CLAUDE.md deprecation note accordingly.

* refactor: slim heavy SKILL.md files and move detail to references/

Trim the four largest active skills and move presets, option tables, and
confirmation scripts into per-skill references/ so SKILL.md stays focused
on the decision flow.

- baoyu-slide-deck: 761→258, + styles-gallery.md, confirmation.md
- baoyu-image-cards: 657→280, + gallery.md, confirmation.md
- baoyu-post-to-wechat: 518→267, + multi-account.md, api-setup.md
- baoyu-imagine: 500→230, + providers/, usage-examples.md

Also un-deprecate baoyu-image-gen (drop stub warning) so it stays functional
alongside baoyu-imagine, and update CLAUDE.md to reflect that both
superseded skills are kept in sync rather than stubbed.

* refactor: slim four medium SKILL.md files into references/

Continue the P2 pattern on the next tier of skills — move option catalogs,
per-provider/adapter detail, and repeated EXTEND.md path boilerplate into
their own references so SKILL.md stays focused on the decision flow.

- baoyu-comic: 380→297 (art/tone/preset tables → auto-selection.md;
  Step 7 expanded detail → workflow.md)
- baoyu-infographic: 312→207 (layouts/styles/combinations/keywords →
  gallery.md; ASCII box tables → markdown tables)
- baoyu-format-markdown: 376→296 (title + summary generation →
  title-summary.md; ASCII box tables → markdown tables)
- baoyu-url-to-markdown: 334→169 (quality gate + recovery →
  quality-gate.md; adapters + media download → adapters.md)

* chore: sync deprecated skills with their replacements

Per project policy, baoyu-xhs-images and baoyu-image-gen are kept
functional alongside the active skills they were superseded by. Sync
their SKILL.md bodies and references/ to the slimmed baoyu-image-cards
and baoyu-imagine versions respectively, so cross-cutting fixes stay
consistent. Only the frontmatter (name, description, version, homepage)
differs — content is identical.

- baoyu-xhs-images: 657→281 (synced with baoyu-image-cards + new
  confirmation.md, gallery.md)
- baoyu-image-gen: 408→231 (synced with baoyu-imagine + new
  providers/, usage-examples.md)

* refactor: collapse EXTEND.md boilerplate into priority tables

Replace the dual bash/powershell existence-check blocks and ASCII box
art with a single markdown priority table across nine SKILL.md files.
The runtime-neutral phrasing removes shell-specific snippets without
losing the priority semantics.

* fix: address refactor-skills branch review findings

- image-gen: restore EXTEND.md paths to baoyu-image-gen (were pointing at
  baoyu-imagine) and mark descriptions of both deprecated skills as
  [Deprecated].
- xhs-images: sync neon/warm palettes with image-cards to add the
  "do not render color names/hex as visible text" safety sentence.
- infographic: restore Layout Gallery (21), Style Gallery (21),
  Recommended Combinations, and Keyword Shortcuts inline (previous
  refactor split them out but SKILL.md still depended on them), and add
  the missing references/config/first-time-setup.md + preferences-schema.md.
- image-cards / xhs-images / slide-deck / format-markdown: restore the
  sections that got over-slimmed into references/ (galleries, presets,
  dimensions, auto-selection, style x layout matrix, title/summary flow)
  and drop the now-empty shell files.
- docs/image-generation-tools.md: note that backend skills themselves
  (baoyu-imagine, baoyu-image-gen, baoyu-danger-gemini-web) are exempt
  from the ## Image Generation Tools section requirement.

* feat(image-gen): sync Z.AI GLM-Image provider from baoyu-imagine

Add Z.AI as a full provider in the deprecated baoyu-image-gen skill so
it stays in sync with baoyu-imagine's provider list.

- new scripts/providers/zai.ts + zai.test.ts (verbatim port; test
  factory trimmed to match image-gen's CliArgs shape).
- types.ts: "zai" added to Provider union and default_model.
- main.ts: rate-limit defaults, provider help text, env var help,
  --provider validation, loadProviderModule, detectProvider
  auto-detect chain, getModelForProvider, YAML parser allow-lists.
- references/config: Q2e Z.AI model question + zai slot in the
  preferences schema and batch.provider_limits.

Scope is intentionally limited to the Z.AI chain; unrelated drift
between image-gen and imagine (OpenAI image-API dialect,
aspectRatioSource, imageSizeSource) is left alone.

* docs: align inline-convention wording and note backend-skill exemption

- docs/user-input-tools.md: fix stale "links here" wording so it
  matches the inline convention already enforced everywhere else.
- CLAUDE.md §Image Generation Tools: inline the backend-skill
  exemption so readers don't need to cross-reference
  docs/image-generation-tools.md.
2026-04-19 00:48:44 -05:00

12 KiB

name, description
name description
first-time-setup First-time setup and default model selection flow for baoyu-image-gen

First-Time Setup

Overview

Triggered when:

  1. No EXTEND.md found → full setup (provider + model + preferences)
  2. EXTEND.md found but default_model.[provider] is null → model selection only

Setup Flow

No EXTEND.md found          EXTEND.md found, model null
        │                            │
        ▼                            ▼
┌─────────────────────┐    ┌──────────────────────┐
│ AskUserQuestion     │    │ AskUserQuestion      │
│ (full setup)        │    │ (model only)         │
└─────────────────────┘    └──────────────────────┘
        │                            │
        ▼                            ▼
┌─────────────────────┐    ┌──────────────────────┐
│ Create EXTEND.md    │    │ Update EXTEND.md     │
└─────────────────────┘    └──────────────────────┘
        │                            │
        ▼                            ▼
    Continue                     Continue

Flow 1: No EXTEND.md (Full Setup)

Language: Use user's input language or saved language preference.

Use AskUserQuestion with ALL questions in ONE call:

Question 1: Default Provider

header: "Provider"
question: "Default image generation provider?"
options:
  - label: "Google (Recommended)"
    description: "Gemini multimodal - high quality, reference images, flexible sizes"
  - label: "OpenAI"
    description: "GPT Image - consistent quality, reliable output"
  - label: "Azure OpenAI"
    description: "Azure-hosted GPT Image deployments with resource-specific routing"
  - label: "OpenRouter"
    description: "Router for Gemini/FLUX/OpenAI-compatible image models"
  - label: "DashScope"
    description: "Alibaba Cloud - Qwen-Image, strong Chinese/English text rendering"
  - label: "MiniMax"
    description: "MiniMax image generation with subject-reference character workflows"
  - label: "Replicate"
    description: "Community models - nano-banana-pro, flexible model selection"
  - label: "Z.AI"
    description: "GLM-Image - text-to-image with recommended aspect sizes"

Question 2: Default Google Model

Only show if user selected Google or auto-detect (no explicit provider).

header: "Google Model"
question: "Default Google image generation model?"
options:
  - label: "gemini-3-pro-image-preview (Recommended)"
    description: "Highest quality, best for production use"
  - label: "gemini-3.1-flash-image-preview"
    description: "Fast generation, good quality, lower cost"
  - label: "gemini-3-flash-preview"
    description: "Fast generation, balanced quality and speed"

Question 2b: Default OpenRouter Model

Only show if user selected OpenRouter.

header: "OpenRouter Model"
question: "Default OpenRouter image generation model?"
options:
  - label: "google/gemini-3.1-flash-image-preview (Recommended)"
    description: "Best general-purpose OpenRouter image model with reference-image workflows"
  - label: "google/gemini-2.5-flash-image-preview"
    description: "Fast Gemini preview model on OpenRouter"
  - label: "black-forest-labs/flux.2-pro"
    description: "Strong text-to-image quality through OpenRouter"

Question 2c: Default Azure Deployment

Only show if user selected Azure OpenAI.

header: "Azure Deploy"
question: "Default Azure image deployment name?"
options:
  - label: "gpt-image-1.5 (Recommended)"
    description: "Best default if your Azure deployment uses the same name"
  - label: "gpt-image-1"
    description: "Previous GPT Image deployment name"

Question 2d: Default MiniMax Model

Only show if user selected MiniMax.

header: "MiniMax Model"
question: "Default MiniMax image generation model?"
options:
  - label: "image-01 (Recommended)"
    description: "Best default, supports aspect ratios and custom width/height"
  - label: "image-01-live"
    description: "Faster variant, use aspect ratio instead of custom size"

Question 2e: Default Z.AI Model

Only show if user selected Z.AI.

header: "Z.AI Model"
question: "Default Z.AI image generation model?"
options:
  - label: "glm-image (Recommended)"
    description: "Latest GLM-Image, best aspect-ratio coverage and text rendering"
  - label: "cogview-4-250304"
    description: "Legacy CogView-4 model with 16-pixel size stepping"
  - label: "cogview-4"
    description: "Previous CogView-4 snapshot for compatibility"

Question 3: Default Quality

header: "Quality"
question: "Default image quality?"
options:
  - label: "2k (Recommended)"
    description: "2048px - covers, illustrations, infographics"
  - label: "normal"
    description: "1024px - quick previews, drafts"

Question 4: Save Location

header: "Save"
question: "Where to save preferences?"
options:
  - label: "Project (Recommended)"
    description: ".baoyu-skills/ (this project only)"
  - label: "User"
    description: "~/.baoyu-skills/ (all projects)"

Save Locations

Choice Path Scope
Project .baoyu-skills/baoyu-image-gen/EXTEND.md Current project
User $HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md All projects

EXTEND.md Template

---
version: 1
default_provider: [selected provider or null]
default_quality: [selected quality]
default_aspect_ratio: null
default_image_size: null
default_model:
  google: [selected google model or null]
  openai: null
  azure: [selected azure deployment or null]
  openrouter: [selected openrouter model or null]
  dashscope: null
  minimax: [selected minimax model or null]
  replicate: null
  zai: [selected zai model or null]
---

Flow 2: EXTEND.md Exists, Model Null

When EXTEND.md exists but default_model.[current_provider] is null, ask ONLY the model question for the current provider.

Google Model Selection

header: "Google Model"
question: "Choose a default Google image generation model?"
options:
  - label: "gemini-3-pro-image-preview (Recommended)"
    description: "Highest quality, best for production use"
  - label: "gemini-3.1-flash-image-preview"
    description: "Fast generation, good quality, lower cost"
  - label: "gemini-3-flash-preview"
    description: "Fast generation, balanced quality and speed"

OpenAI Model Selection

header: "OpenAI Model"
question: "Choose a default OpenAI image generation model?"
options:
  - label: "gpt-image-1.5 (Recommended)"
    description: "Latest GPT Image model, high quality"
  - label: "gpt-image-1"
    description: "Previous generation GPT Image model"

Azure Deployment Selection

header: "Azure Deploy"
question: "Choose a default Azure image deployment name?"
options:
  - label: "gpt-image-1.5 (Recommended)"
    description: "Use when your Azure deployment name matches the GPT-image-1.5 model"
  - label: "gpt-image-1"
    description: "Use when your Azure deployment name matches GPT-image-1"

Notes for Azure setup:

  • In baoyu-image-gen, Azure --model / default_model.azure should be the Azure deployment name, not just the underlying model family.
  • If the deployment name is custom, save that exact deployment name in default_model.azure.

OpenRouter Model Selection

header: "OpenRouter Model"
question: "Choose a default OpenRouter image generation model?"
options:
  - label: "google/gemini-3.1-flash-image-preview (Recommended)"
    description: "Recommended for image output and reference-image edits"
  - label: "google/gemini-2.5-flash-image-preview"
    description: "Fast preview-oriented image generation"
  - label: "black-forest-labs/flux.2-pro"
    description: "High-quality text-to-image through OpenRouter"

DashScope Model Selection

header: "DashScope Model"
question: "Choose a default DashScope image generation model?"
options:
  - label: "qwen-image-2.0-pro (Recommended)"
    description: "Best DashScope model for text rendering and custom sizes"
  - label: "qwen-image-2.0"
    description: "Faster 2.0 variant with flexible output size"
  - label: "qwen-image-max"
    description: "Legacy Qwen model with five fixed output sizes"
  - label: "qwen-image-plus"
    description: "Legacy Qwen model, same current capability as qwen-image"
  - label: "z-image-turbo"
    description: "Legacy DashScope model for compatibility"
  - label: "z-image-ultra"
    description: "Legacy DashScope model, higher quality but slower"

Notes for DashScope setup:

  • Prefer qwen-image-2.0-pro when the user needs custom --size, uncommon ratios like 21:9, or strong Chinese/English text rendering.
  • qwen-image-max / qwen-image-plus / qwen-image only support five fixed sizes: 1664*928, 1472*1104, 1328*1328, 1104*1472, 928*1664.
  • In baoyu-image-gen, quality is a compatibility preset. It is not a native DashScope parameter.

Replicate Model Selection

header: "Replicate Model"
question: "Choose a default Replicate image generation model?"
options:
  - label: "google/nano-banana-pro (Recommended)"
    description: "Google's fast image model on Replicate"
  - label: "google/nano-banana"
    description: "Google's base image model on Replicate"

MiniMax Model Selection

header: "MiniMax Model"
question: "Choose a default MiniMax image generation model?"
options:
  - label: "image-01 (Recommended)"
    description: "Best general-purpose MiniMax image model with custom width/height support"
  - label: "image-01-live"
    description: "Lower-latency MiniMax image model using aspect ratios"

Notes for MiniMax setup:

  • image-01 is the safest default. It supports official aspect_ratio values and documented custom width / height output sizes.
  • image-01-live is useful when the user prefers faster generation and can work with aspect-ratio-based sizing.
  • MiniMax subject reference currently uses subject_reference[].type = character; docs recommend front-facing portrait references in JPG/JPEG/PNG under 10MB.

Z.AI Model Selection

header: "Z.AI Model"
question: "Choose a default Z.AI image generation model?"
options:
  - label: "glm-image (Recommended)"
    description: "Latest GLM-Image; pixels round to multiples of 32 and cap at 2^22"
  - label: "cogview-4-250304"
    description: "Legacy CogView-4 snapshot with 16-pixel size stepping"
  - label: "cogview-4"
    description: "Earlier CogView-4 snapshot for compatibility"

Notes for Z.AI setup:

  • Set ZAI_API_KEY (or legacy BIGMODEL_API_KEY) from https://docs.z.ai/.
  • glm-image supports recommended aspect sizes (1280x1280, 1728x960, 1568x1056, …); uncommon ratios auto-fit to the 2^22 pixel budget on multiples of 32.
  • Legacy CogView models use 16-pixel stepping and cap at 2^21 pixels per image.
  • Z.AI does not accept reference images or n > 1 in baoyu-image-gen; use Google/OpenAI providers for those workflows.

Update EXTEND.md

After user selects a model:

  1. Read existing EXTEND.md
  2. If default_model: section exists → update the provider-specific key
  3. If default_model: section missing → add the full section:
default_model:
  google: [value or null]
  openai: [value or null]
  azure: [value or null]
  openrouter: [value or null]
  dashscope: [value or null]
  minimax: [value or null]
  replicate: [value or null]
  zai: [value or null]

Only set the selected provider's model; leave others as their current value or null.

After Setup

  1. Create directory if needed
  2. Write/update EXTEND.md with frontmatter
  3. Confirm: "Preferences saved to [path]"
  4. Continue with image generation