Generate and edit Draw.io, Mermaid, and Excalidraw diagrams from natural language using a structured JSON spec.
Documents
Xiaohongshu Hall FAQ Stills
Try itTurn Xiaohongshu hall FAQ complaints into a 4 to 8 still materials set. This hall FAQ still studio reads public hall FAQ notes and complaints, then lays out a materials still pack from confirmed document facts. Use it for hall materials graphics, a Xiaohongshu hall FAQ still, and a document checklist set.
What it does
Turn Xiaohongshu hall FAQ complaints into one materials still per picked complaint. Deliver 4 to 8 stills.
The skill document
Xiaohongshu Hall FAQ Stills
Turn Xiaohongshu hall FAQ complaints into one materials still per picked complaint. Deliver 4 to 8 stills.
Scope and adjacent routes
Use this Skill when a hall or public-service team wants materials stills that answer public Xiaohongshu hall-faq complaints from document facts they already confirmed.
Route a research memo to xiaohongshu-note-research. Route Douyin
comment FAQ stills to douyin-video-comments-to-faq. Route talking
policy reads to policy-digest-set when that package is installed.
This package reads Xiaohongshu hall-faq notes and comments and makes materials stills. It does not post a note on Xiaohongshu. If this connection has no Xiaohongshu note or comment operation, work from pasted lines only.
Collect the complaints
Hard inputs are:
- the named hall service being explained;
- either a public Xiaohongshu note link or search wording the host can open, or the original hall-faq complaints already copied;
- confirmed official materials or document facts the cards may print;
- how many cards the pack should contain, or permission to use the default of 4.
Reuse already-known hall names, brand palette, and destination. Ask only for a missing hard input. A count outside 4 to 8 is still doable: confirm that pack size and its live cost.
Do not invent a complaint, username, like count, document, or materials line. An optional brand still is a look reference, not a source for missing documents. File access is not consent.
Inspect every still the user supplies. Record MIME type, width,
height, aspect ratio, byte size, and whether it has an alpha channel.
For a local file, upload only through the bundled client after
inspection (scripts/mcp_client.py / beatra.assets.upload). Keep
the returned artifact id. Never pass a local path to
beatra.images.generate, beatra.images.transform, or
beatra.images.edit.
Plan the free slot list
Write a labeled complaint-to-materials list before any paid lookup or image. Default four slots unless the user names another count in 4 to 8. Each slot records the original complaint wording, the printed materials line from confirmed facts, layout (complaint, materials line, optional footer), canvas, and whether a brand still drives the look.
That list is the free visible result from whatever the user already pasted. Planning is not approval.
Safe defaults:
- one
beatra.images.generatecall per slot; model: "auto"unless the user chose a live SKU;count1 per slot;- square 2K unless the user named another destination ratio.
Look up notes on their own card
A note link or search wording does not authorize a lookup. When the user wants this connection to read public Xiaohongshu hall-faq notes or comments, follow hall FAQ lookup: search, inspect, then show a six-field lookup card and wait:
- Work — one public Xiaohongshu note search, note read, or comment
page for the named hall FAQ (
beatra.social.executewith the inspectedoperation_key). - Credits — the live price
beatra.social.tools.getjust returned. Quote that live number, not a remembered one. - Count — one prepaid lookup. A note search is its own billed execute. An image-note or video-note read is another. The comment page is another. The next page is another charge.
- Identity — one new opaque
client_request_idper execute. - If we stop here — the pasted-complaint plan remains usable.
- If the balance is insufficient — relay the official message and
its top-up URL exactly
(
https://console.beatra.ai/wallet?intent=buy). Translate the prose; keep the URL. Do not retry until the user says they have topped up. Do not recommend ¥198.
Do not show schema_hash to the user. A confirmed lookup does not
authorize image work. After a terminal lookup, report the payload,
task ID, terminal status, and billing.net_charged_credits. A
lookup has no model, dimensions, or duration to report.
Confirm generate, then optional transform or edit
Lookup and image work are separate paid stages. Each stage gets
its own six-field card and its own opaque client_request_id per
slot.
Before generate, call beatra.models.list for text_to_image:
{"capability": "text_to_image"}
Show the generate card and wait:
- Work — one materials still per named slot
(
beatra.images.generate). - Credits — the live
text_to_imageprice just read, times the slot count. Do not reuse a remembered number. - Count — one paid generate call per slot. Do not batch several
complaints into one
count. - Identity — one new opaque
client_request_idper slot. - If we stop here — the labeled slot list remains usable.
- If the balance is insufficient — relay the official message and
its top-up URL exactly
(
https://console.beatra.ai/wallet?intent=buy). Translate the prose; keep the URL. Do not retry until the user says they have topped up. Do not recommend ¥198.
Submit each generate slot once through bundled
scripts/mcp_client.py. Poll beatra.tasks.get. Read actual image
MIME, dimensions, and size, and billing.net_charged_credits.
If the user wants the accepted cards to follow a brand still,
read the live image_to_image card and wait on a separate
transform card before beatra.images.transform:
{"capability": "image_to_image"}
Use beatra.images.edit only after the user accepts a card and
asks for a local correction, with that accepted image as
images[0]. Read the live image_edit card first:
{"capability": "image_edit"}
Approved generate does not authorize transform or edit.
Review, deliver, and recover
Review that each still prints the picked complaint and only the
confirmed materials line. Report only the text the host can actually
see. Treat generated small type as a review item, not as a certified
hall notice. After each terminal paid task, deliver actual bytes
plus MIME, dimensions, and size when present, and
billing.net_charged_credits. Do not promise the prepaid estimate
is the final charge.
After a returned task_id, poll that task. If the create response
is lost, search with beatra.tasks.list and verify with
beatra.tasks.get before replay. Reuse an ID only with
byte-identical arguments. A changed complaint, materials line,
still, model, or canvas is a new card and a new ID. Cancel only
when the user asks.
Execution
Invoke every remote Beatra operation only through this package's bundled
scripts/mcp_client.py. Put the MCP tool name after call and send one
JSON object on standard input.
python3 scripts/mcp_client.py call beatra.models.list
{"capability": "text_to_image"}
python3 scripts/mcp_client.py call beatra.models.list
{"capability": "image_to_image"}
python3 scripts/mcp_client.py call beatra.models.list
{"capability": "image_edit"}
printf '%s' '{"query":"notes","platform":"xiaohongshu","capability_family":"content"}' | python3 scripts/mcp_client.py call beatra.social.tools.search
printf '%s' '{"prompt":"Create the approved materials still for the named hall FAQ complaint. Print only the confirmed materials line.","model":"auto","count":1,"canvas":{"type":"preset","tier":"2K","aspect":"1:1"},"client_request_id":"opaque-hall-faq-01"}' | python3 scripts/mcp_client.py call beatra.images.generate
Do not configure or call a host Beatra Connector, and do not use REST/OpenAPI as a fallback.
References by task
- For slot lists, lookup, payloads, and recovery, read hall FAQ still workflow and hall FAQ lookup.
- For authorization and the non-billable registration step, read installation and authentication and installation registration.
- For shared task, billing, and connection details, read tasks and results, billing, errors, and recovery, and Bundled MCP Client diagnostics.
- For update guarantees and controls, read automatic updates and safety. For removal, read uninstall and disconnect.
Runtime and safe automatic updates
The bundled client silently checks for a newer release at most once every 24 hours per installation. When a newer version is available, it installs automatically without separate confirmation. It downloads only from the fixed official Beatra discovery and immutable CDN paths for this package, channel, and locale, verifies discovery data, archive, manifest, and every packaged file, and replaces only package-owned files.
Update checks, downloads, verification, replacement, rollback, and recovery fail open: the current installation remains usable and the original command continues. An update failure never authorizes retrying a paid lookup, generate, transform, or edit request. The setting persists for this installation. See automatic updates and safety.
python3 scripts/mcp_client.py update --auto off
python3 scripts/mcp_client.py update --auto on
python3 scripts/mcp_client.py update --check
Related skills
Fetch raw ad creative, app, ranking, and revenue data from AdMapix as structured JSON.
Stores durable facts in a categorized, plain-markdown vault on disk, alongside your agent's built-in memory.
Join a video meeting as an AI bot with voice, avatar, and screenshare across four operating modes.
Find why your productivity system keeps failing, then apply the smallest fix — capacity math, bottleneck routing, durable local notes.
Site audit, content writing, and competitor analysis for organic search rankings.
More from beatra-ai
Browse all skillsTurn a topic description, a product photo, or brand references into a scroll-stopping event poster, promotional banner, or social media graphic. This AI poster maker and design generator creates photo-rich posters with strong visual hierarchy, category-matched styling, and text-safe zones for event, music, movie, product launch, and sale campaigns. Use it as an AI flyer maker for sale flyers, an event poster design tool, a movie poster generator, a music festival poster creator, a banner design AI for product launch posters, or a graphic design poster studio. Start from a campaign topic, transform a product or scene photo with style references, or refine an accepted draft toward a print-ready or share-ready result.
Turn a short video that already worked into your own version. Paste the link and this viral video teardown and short-video remake workflow reads the reference itself on TikTok, Douyin, Xiaohongshu, Instagram, YouTube, or X — caption, author, visible metrics, comments, and on YouTube the full transcript — or work from a file, screenshots, or your own description instead. It breaks the clip into its hook, body beats, and call to action, names the script pattern behind it, scores what carried the performance, then rewrites that structure around your product or topic — delivering a shot list with visuals and narration kept apart, reference frames from your own assets before any are generated, a narration track, and either an animated clip or segmented sources with a timecoded edit list. Use it to study a competitor's viral short, borrow a proven structure for Reels, Shorts, or WeChat Channels, rebuild a benchmark video under your own brand, or turn a saved reference into a content formula
Turn a comic panel, character sheet, webtoon frame, or frozen story beat into one dynamic comic-drama shot. This AI comic drama generator and motion comic maker animates an approved comic panel or manga frame into a short live shot, interpolates motion between a first and last comic panel, combines loose character, style, and scene references into a new comic-drama shot, or creates an original comic first frame and brings it to life. Use it for web-novel comic shots, motion comics, webtoon to video, manga panel animation, character entrances, emotional close-ups, action panels, dialogue reactions, and serialized creator workflows, with frozen character identity, approved art direction, and honest review of each independently generated shot.
Turn a novel chapter, web-novel excerpt, or story script into narrated vertical short video scenes with illustrated shots that keep every character looking the same from beat to beat. This AI story video maker pulls the hook and the beats out of your text, draws one shot for each, records the narration in a voice you choose, and sets each clip to its own narration, so a chapter arrives as an ordered set of scenes for story channels, book trailers, web-novel promotion, chapter recaps, and faceless storytelling accounts.
Turn written product answers and public note questions into one spoken wealth FAQ clip per question. This talking clip studio reads the questions buyers actually ask on public Xiaohongshu notes, records a speakable answer for each, and delivers separate short videos the advisor can post on their own.
Turn a user-supplied product factsheet and authorized stills into one wealth product talking clip per still. This product factsheet talking video studio writes a speakable product highlights talking clip for each photo, then animates a 2 to 15s product factsheet talking clip. Use it for wealth product talking pack and factsheet talking video pack work that stays one photo, one clip.