Design & media

rednote-cover-maker

What it does

The skill document

REDnote Cover Maker

Create one scroll-stopping REDnote (Xiaohongshu) cover or post image from a photo, a topic idea, or an accepted draft. Reuse decisions already present in the conversation and move by the shortest route that completes the requested cover.

Choose the route

Transform a photo into a cover: with one photo—food, product, outfit, selfie, or scene—enhance it into a polished vertical 3:4 Xiaohongshu cover with clean background, professional lighting, and a text-safe area using beatra.images.transform. This is the default when a source photo exists.
Generate a cover concept from a topic: when no source photo exists, turn the topic or note idea into a click-worthy cover visual using beatra.images.generate.
Refine an accepted cover: use beatra.images.edit with the accepted cover as images[0] to fix color, lighting, background blemishes, or composition without changing the overall layout.

Follow cover routing for the precise branch and cover craft when turning the request into a visual specification that fits Xiaohongshu's platform aesthetic.

Shape one cover brief

Reuse the user's content topic, target audience, style preference, and any visual references. Ask only when a missing decision materially changes the result. For a standard Xiaohongshu cover, propose a vertical 3:4 canvas with a clean background and a text-safe top or center zone as the default.

Build the brief around:

the note topic and category—beauty, food, fashion, travel, home, knowledge, product recommendation, or lifestyle;
one focal subject—the dish, product, outfit, person, or scene that anchors the cover;
one style direction—clean and bright, warm and appetizing, editorial and minimal, cozy and atmospheric, or bold and high-contrast;
a text-safe zone preference—top third, center, or bottom—so the user can add their headline overlay later without clashing with the image;
ordered visual references when available (style inspiration, color reference, composition reference).

If the user has already stated the topic or style, reuse it. If that choice is genuinely missing, propose the best default and include it in the single paid-call confirmation.

Prepare the call

Use only this Skill's bundled scripts/mcp_client.py for every remote MCP operation. The tool name is a CLI argument and the tool arguments are the JSON sent on stdin. Do not configure or call a host Beatra Connector, and do not use REST/OpenAPI as a fallback. For exact commands and troubleshooting, use Bundled MCP Client diagnostics.

Upload the source photo through the bundled client helpers first, then call beatra.images.transform with the uploaded artifact as the first ordered reference. Label the photo's role explicitly in the prompt so the model preserves the subject.
For a topic-only concept, call beatra.images.generate with a vertical 3:4 canvas and a prompt that captures the desired mood, color palette, and composition.
For an accepted cover, call beatra.images.edit. Use at most two normalized edit_regions on image_index=0 for localized fixes; omit regions for a whole-image adjustment.

Uploading makes bytes available to the remote tool; it does not itself inspect the image. Review only visual facts the host can actually see.

Keep model=auto and count=1 unless the user explicitly chooses otherwise. Call beatra.models.list only for a real model, availability, compatibility, or price decision. The detailed request shapes and examples are in workflow.

Confirm and execute once

Planning and brief preparation are free. Before the paid image call, show and freeze the final prompt, ordered references, canvas, style direction, text-safe zone, model, controls, and output count. Merge any still-material high-impact choice into this one confirmation.

After approval, create one stable opaque client_request_id for that exact logical request and submit it once. A changed prompt, reference or order, canvas, style direction, model, count, or control is new paid work and needs a new confirmation and a new ID.

Track, review, and deliver

After receiving a task_id, poll only that task with beatra.tasks.get. If the ID is lost, use beatra.tasks.list to find candidates and verify the selected one with tasks.get. Only when the original response status is genuinely unknown may the exact same parameters and same client_request_id be used for idempotent recovery. Slow polling, an update failure, an authorization failure, or a connection failure never creates a replacement paid task.

Use beatra.tasks.cancel only when the user asks. If cancellation returns 409, continue tracking the original task. See review and recovery for the full recovery contract.

When the result is visible, review thumbnail clarity (is the focal subject recognizable at small size?), text-safe zone (is there clean space for a headline overlay?), color and lighting (does it match the Xiaohongshu aesthetic for the category?), canvas fit (is the vertical 3:4 ratio correct?), and overall click appeal. Deliver the artifact links, observed dimensions, task ID, and billing.net_charged_credits. Offer at most one focused, unexecuted revision. Generated assets can also be viewed and managed at beatra.ai.

References by task

Choosing among photo transform, topic concept, and cover refine, or planning for a specific Xiaohongshu content category: cover routing
Turning a request into a Xiaohongshu-style cover specification: cover craft
Exact request shapes, ordered-reference labeling, and JSON examples for each route: workflow
Lost task, slow task, cancellation, result review, or planning a revision: review and recovery
First install or expired authorization: installation and authentication
Bundled MCP Client commands and diagnostics: Bundled MCP Client diagnostics
Installation registration: installation registration
Task lookup, polling, and result fields: tasks and results
Balance, validation, and structured errors: billing, errors, and recovery
Disconnecting the installation: uninstall and disconnect
Official sources, integrity checks, and update controls: automatic updates and safety

Installation, updates, and account operations

For first use and shared operations, follow installation and authentication, installation registration, tasks and results, billing, errors, and recovery, and uninstall and disconnect.

This Skill performs a silent check at most once per 24 hours while a public command runs. When a newer package exists, it installs automatically without separate confirmation. Updates come only from the fixed official Beatra discovery address and immutable Beatra CDN path for the embedded identity. Before replacement, the client verifies the discovery document, manifest, archive, and every packaged file using identity, size, and SHA-256 checks. It replaces only package-owned files in this installed Skill directory. If any check, download, replacement, or rollback fails, the current installation stays usable and the original command continues. Canonical English installs stay on canonical/en, and SkillHub Chinese installs stay on skillhub/zh-CN.

The user can persistently control automatic updates:

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

Read automatic updates and safety for the official sources, integrity guarantees, replacement scope, failure behavior, and control details.

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