* feat(baoyu-imagine): add DashScope Wan 2.7 image model support
Closes#139.
Adds the new `wan2.7-image-pro` and `wan2.7-image` model family to the
DashScope provider so users can call Wan 2.7 directly through the
official Aliyun (Bailian) API instead of going through Replicate.
- Register `wan2.7-image-pro` and `wan2.7-image` as a new `wan27` family
in the DashScope provider with their own size resolution rules:
pixel range `[768*768, 4096*4096]` for `wan2.7-image-pro` text-to-image,
`[768*768, 2048*2048]` for `wan2.7-image-pro` with refs and for the
base `wan2.7-image` model in any mode, with aspect ratios validated
against the documented `[1:8, 8:1]` band.
- Allow up to 9 reference images per request (image editing /
multi-image fusion). Local files are inlined as base64 data URLs;
`http(s)://` paths are forwarded as-is. Other DashScope models still
reject `--ref` with a hint to switch to a wan2.7 model or another
provider.
- Drop `prompt_extend` from the request body for the Wan 2.7 family
(not part of the Wan 2.7 API surface) and skip the Qwen-only negative
prompt for this family.
- Allow `--provider dashscope --ref ...` in `detectProvider` so users
can opt into Wan 2.7 reference workflows, while keeping Wan 2.7 out
of the auto-detect ref priority list.
- Add provider, reference, and usage-example documentation, plus
unit tests covering family routing, size derivation across the
three pixel-budget modes, ratio rejection, explicit-size validation,
and the new `--provider dashscope` ref opt-in path.
Made-with: Cursor
* fix(baoyu-imagine): force n=1 for DashScope wan2.7 to avoid silent multi-image billing
Cross-checked the implementation against the official Wan 2.7 image
generation & editing API reference and found that the API defaults
`parameters.n` to 4 in non-collage mode (1-4 range, billed per image).
baoyu-imagine has single-image save semantics — only the first image
in the response is kept — so without an explicit `n: 1` users would
silently pay for 3 discarded images per request.
- Always send `parameters.n: 1` in the wan2.7 request body
- Reject `--n > 1` for wan2.7 with a clear error pointing at the
single-image save semantics
- Add tests asserting the request body shape (n=1, no prompt_extend,
no negative_prompt) and the --n>1 rejection
- Document the defaults-vs-skill mismatch in the dashscope reference
Made-with: Cursor
* Fix DashScope Wan 2.7 review feedback
* 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.
Add --imageApiDialect flag, OPENAI_IMAGE_API_DIALECT env var, and
default_image_api_dialect config for gateways that expect aspect-ratio
size plus metadata.resolution instead of pixel size.
* Align Replicate image behavior with the models we actually support
Replicate image generation in baoyu-imagine no longer assumes that every model
accepts the nano-banana request schema. The Replicate provider now defaults to
google/nano-banana-2, routes supported model families through family-specific
builders and validators, blocks misleading multi-output requests before they
reach the API, and updates user-facing docs/config guidance to match the actual
contract.
Constraint: Replicate model families expose different input schemas
Constraint: Current Replicate path only saves one output image per request
Constraint: Must not change non-Replicate providers
Rejected: Keep one nano-banana-style payload for all Replicate models | triggers remote schema errors on Seedream and Wan
Rejected: Continue accepting multi-image Replicate requests and save only the first result | silently drops outputs
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: Add a family-specific validator and input builder before exposing more Replicate model IDs or multi-output flags
Tested: npm test
Tested: node --test skills/baoyu-imagine/scripts/providers/replicate.test.ts skills/baoyu-imagine/scripts/main.test.ts
Not-tested: Live Replicate API calls against production models
Co-authored-by: justnode <justnode@users.noreply.github.com>
* Preserve Replicate compatibility when shared defaults leak across providers
Addressed the new PR review findings by teaching baoyu-imagine to track
where aspect-ratio defaults came from, mirroring the earlier imageSize fix,
so unsupported Replicate models can still run prompt-only requests when the
value was inherited from shared config. Also corrected Seedream 4.5 custom
size encoding to use the API's custom width/height schema instead of sending
literal WxH strings.
Constraint: Shared EXTEND defaults still need to apply globally for providers that support them
Constraint: Seedream 4.5 custom sizes must follow Replicate's documented custom size schema
Rejected: Ignore all aspect ratios for unknown Replicate models | would hide explicit unsupported CLI/task input
Rejected: Keep Seedream custom sizes as literal strings | validated locally but fails against the provider API
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: Any future inherited-default validation for provider-specific flags should record the source explicitly before rejecting it
Tested: node --import tsx --test skills/baoyu-imagine/scripts/main.test.ts skills/baoyu-imagine/scripts/providers/replicate.test.ts
Tested: npm test
Not-tested: Live Replicate API calls for Seedream 4.5 custom-size requests
---------
Co-authored-by: justnode <justnode@users.noreply.github.com>
Adds the Z.AI (智谱) provider supporting glm-image and cogview-4-250304
models via the Z.AI sync image API. Configure with ZAI_API_KEY (or
BIGMODEL_API_KEY for backward compat). Reference images are not supported yet.
Jim Liu 宝玉