设计与多媒体

rednote-carousel-maker

它能做什么

技能文档

REDnote Carousel Maker

Create an ordered two-to-four-slide REDnote (Xiaohongshu) carousel from a post outline, product details, photo set, or style reference. The result is a hook cover plus supporting slides with a shared visual direction and a deliberate reading order—not a set of unrelated image variants.

Choose the route

Build a carousel from an outline: use beatra.images.generate when the post topic, slide roles, and visual direction are sufficient.
Compose from a photo set or references: upload up to four ordered image references and use beatra.images.transform, declaring which image preserves the subject and which images guide only style, palette, or composition.
Refine one selected slide: use beatra.images.edit with the accepted slide at images[0] and at most two normalized local edit regions.

This Skill owns a connected multiple-image note. Use rednote-cover-maker for one standalone Xiaohongshu cover. Do not route a carousel request to a one-cover workflow.

Plan the ordered story

Reuse the user's topic, audience, content outline, product facts, references, and visual style. Suggest two to four slide roles: a hook cover first, followed by explanation, proof, steps, comparison, or call-to-action slides. Default to a 2K 3:4 canvas and an explicit text-safe area on every slide, then include the exact slide count, order, canvas, and headline treatment in the paid-call confirmation.

Keep one subject, palette, lighting direction, and composition language across the set. Default to safe space for later overlay rather than guaranteeing rendered Chinese titles. If short in-image text is requested, freeze the exact copy in the confirmation and inspect it only when the result is visible.

Verify sequence capability, then confirm one paid request

Use only this Skill's bundled scripts/mcp_client.py for all remote Beatra operations. Do not configure or call a host Beatra Connector and do not use REST/OpenAPI as a fallback. Upload local image files with the bundled client and preserve their declared order; an upload makes bytes available but does not inspect the images.

Before offering the multi-slide paid route, call beatra.models.list to verify that a currently selectable model supports the confirmed capability, count, canvas, and output_relationship: "sequence". Keep model: "auto" unless a real availability, compatibility, control, or price decision requires a specific model. If no live route supports the requested sequence, report that result and ask the user to choose either one image now or several separate paid requests. Do not silently submit independent candidates as though they were an ordered carousel.

Once the route is available, show one final confirmation freezing the prompt, slide order and count, sequence relationship, canvas, ordered references, text treatment, model, and controls. Planning and capability checks are free; the image request is paid. After approval, create one opaque stable client_request_id without user content and submit once. A changed prompt, slides, count, canvas, references or order, relationship, model, or control is new paid work needing a fresh confirmation and a fresh ID.

Track, review, and deliver

Keep the returned task_id and poll only it through beatra.tasks.get. If it is lost, use beatra.tasks.list for candidates and validate the selected one with tasks.get. Replay the byte-equivalent payload with the same ID only when the original creation response is genuinely unknown. Slow polling, connection, update, and authorization errors never create substitute paid work.

Cancel only on the user's request. If beatra.tasks.cancel returns 409, the original task continues and must be tracked. When output is visible, review the returned slide order, consistent palette and subject, each slide's focal clarity, text-safe space, confirmed canvas, and requested details. Deliver artifact links in returned order, observed dimensions, task ID, resolved model, and returned billing.net_charged_credits; offer at most one unexecuted, focused revision plan.

References by task

Sequence payloads, ordered references, and slide edits: workflow
First install or expired authorization: installation and authentication
Bundled-client commands: Bundled MCP Client diagnostics
Registration: installation registration
Polling and returned task fields: tasks and results
Billing and recovery: billing, errors, and recovery
Disconnecting: uninstall and disconnect
Update controls and integrity: automatic updates and safety

Runtime and safe automatic updates

The bundled client silently checks at most once every 24 hours during a public command. When a newer version is available, the client installs it automatically without separate confirmation only from fixed official Beatra discovery and immutable CDN paths. It verifies the archive, manifest, and every package-owned file, and replaces only files owned by this package. If an update step fails, the current installation remains usable and the original command continues. The setting persists for this installation.

python3 scripts/mcp_client.py update --auto off
python3 scripts/mcp_client.py update --auto on
python3 scripts/mcp_client.py update --check

zhongcao-carousel-maker

Create a Xiaohongshu or REDnote carousel from a post outline, product details, photo set, or style reference. Build an ordered 3:4 image sequence with a hook cover and supporting slides, clear focal imagery, matched visual direction, and headline-safe areas for product recommendations, tutorials, food notes, OOTD, travel guides, knowledge posts, and Xiaohongshu content images for one connected post story. Optionally it reads Xiaohongshu itself — the notes already running for the topic, one page of a note's top comments, and an account's own recent notes — so Xiaohongshu research, competitor note analysis and comment analysis rest on the platform instead of on guesswork.

rednote-cover-maker

Turn a photo, a topic idea, or an accepted draft into a scroll-stopping REDnote (Xiaohongshu) cover and post image. This AI cover generator creates vertical 3:4 Xiaohongshu note covers with clean backgrounds, bold focal composition, and text-safe areas for beauty, food, fashion, travel, and knowledge content. Generate high-click Xiaohongshu note covers, OOTD post images, food photography covers, product recommendation visuals, and lifestyle note illustrations from one photo or a topic description. Start from a real photo, compose from multiple references, or refine an accepted cover toward a publish-ready result.

REDnote OOTD Lookbook Maker

Red Note Generator

AI-powered Xiaohongshu (RED) note content generator. Creates complete RED style notes from topic and style requirements. Requires API key from wsdsocial.com.

REDnote Beauty Note Maker

Create Xiaohongshu beauty and skincare content from product facts, routine steps, skin concerns, and audience context. This AI beauty note maker produces a 3:4 post concept, review structure, usage-scene copy, title options, cover wording, relevant hashtags, and a natural comment starter for makeup, skincare, haircare, body care, routines, comparisons, and product recommendations.

Zhongcao OOTD Lookbook Maker

Create a coordinated REDnote (Xiaohongshu) OOTD lookbook from outfit photos or a styling idea. Build a vertical 3:4 fashion carousel with a cover, full-look outfit image, styling-detail image, and lifestyle scene, then shape a ready-to-publish fashion recommendation post with title ideas, caption angles, and tags. Use this AI outfit image maker for Xiaohongshu outfit posts, OOTD photos, fashion lookbooks, clothing recommendation visuals, creator style diaries, and brand collaboration campaigns. Optionally it reads Xiaohongshu itself — the notes already running for the topic, one page of a note's top comments, and an account's own recent notes — so Xiaohongshu research, competitor note analysis and comment analysis rest on the platform instead of on guesswork.