YouTube Lesson Card Set

Turn public YouTube lesson captions into a set of 4 to 8 takeaway cards. This lesson card studio reads the lesson captions, pulls the key points, and lays out one card per point for lessons and tutorial videos.

Turn YouTube lesson captions into one knowledge-point still per picked caption point. Deliver 4 to 8 stills.

Scope and adjacent routes

Use this Skill when a school teacher wants knowledge-point stills that print points from public YouTube lesson captions.

Route a spoken remake script to youtube-caption-studio. Route a YouTube cover to youtube-thumbnail-maker. Route L&D training-caption handout stills to youtube-train-caption-cards when that package is installed.

This package reads YouTube lesson captions and makes knowledge-point stills. It does not post a video on YouTube. If this connection has no YouTube search or caption operation, work from pasted lines only.

Collect the captions

Hard inputs are:

• the named school lesson being turned into knowledge-point cards;
• either a public YouTube video link or search wording the host can open, or the original lesson captions already copied;
• how many cards the pack should contain, or permission to use the default of 4.

Reuse already-known lesson 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 caption line, video title, view count, or extra curriculum point. An optional brand still is a look reference, not a source for missing spoken lines. 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 caption-to-knowledge-point 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 caption wording, the printed knowledge-point line taken from those captions, layout (caption point, knowledge-point 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.generate call per slot;
• model: "auto" unless the user chose a live SKU;
• count 1 per slot;
• square 2K unless the user named another destination ratio.

Look up captions on their own card

A video link or search wording does not authorize a lookup. When the user wants this connection to read public YouTube lesson captions, follow lesson caption lookup: search, inspect, then show a six-field lookup card and wait:

1. Work — one public YouTube video search or caption read for the named school lesson (beatra.social.execute with the inspected operation_key).
2. Credits — the live price beatra.social.tools.get just returned. Quote that live number, not a remembered one.
3. Count — one prepaid lookup. A video search is its own billed execute. A caption read is another. A language-list caption read followed by a language fetch is another. The next search page is another charge.
4. Identity — one new opaque client_request_id per execute.
5. If we stop here — the pasted-caption plan remains usable.
6. If the balance is insufficient — relay the official message and its top-up URL exactly. Translate the prose; keep the URL. Do not retry until the user says they have topped up.

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:

json

{"capability": "text_to_image"}

Show the generate card and wait:

1. Work — one knowledge-point still per named slot (beatra.images.generate).
2. Credits — the live text_to_image price just read, times the slot count. Do not reuse a remembered number.
3. Count — one paid generate call per slot. Do not batch several caption points into one count.
4. Identity — one new opaque client_request_id per slot.
5. If we stop here — the labeled slot list remains usable.
6. If the balance is insufficient — relay the official message and its top-up URL exactly. Translate the prose; keep the URL. Do not retry until the user says they have topped up.

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:

json

{"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:

json

{"capability": "image_edit"}

Approved generate does not authorize transform or edit.

Review, deliver, and recover

Review that each still prints the picked caption point and only the caption-backed knowledge-point line. Report only the text the host can actually see. Treat generated small type as a review item, not as a certified lesson certificate. 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 caption, knowledge-point 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.

bash

python3 scripts/mcp_client.py call beatra.models.list

json

{"capability": "text_to_image"}

bash

python3 scripts/mcp_client.py call beatra.models.list

json

{"capability": "image_to_image"}

bash

python3 scripts/mcp_client.py call beatra.models.list

json

{"capability": "image_edit"}

text

printf '%s' '{"query":"captions","platform":"youtube","capability_family":"captions"}' | python3 scripts/mcp_client.py call beatra.social.tools.search

text

printf '%s' '{"prompt":"Create the approved knowledge-point still for the named caption point. Print only the caption-backed knowledge-point line.","model":"auto","count":1,"canvas":{"type":"preset","tier":"2K","aspect":"1:1"},"client_request_id":"opaque-lesson-caption-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.

Account balance

When the user asks how many credits remain or whether a live estimate fits, call beatra.wallet.get. When they ask what was charged, call beatra.wallet.ledger. Both are read-only. Do not invent an account-balance or top-up tool. Do not make wallet.get a required step before every paid submit.

When a model card comes back carrying a top_up block, relay its tiers as the card lists them and in that order. Do not rank them, do not talk one down, and do not pick one for the user. Which tier suits them is their call, made on the wallet page with the whole list in front of them. Never quote a tier from memory.

References by task

• For slot lists, lookup, payloads, and recovery, read lesson knowledge-point workflow and lesson caption 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.

text

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