Search academic papers, scholarly articles, and research publications through SandBase. Use when asked for literature review, academic citations, scholarly research, paper discovery, or scientific evidence gathering.
日本語の概要は準備中です。原文の説明を表示しています。
Plan and produce short AI videos with SandBase image, video, music, and speech models. Use for commercials, social clips, explainers, short films, storyboards, or multi-shot video generation; use a simpler image or audio skill when no video deliverable is needed.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Turn a creative brief into a production-ready plan or a finished short video. Use SandBase for every generative media call and local media tools only for deterministic operations such as frame extraction, concatenation, mixing, and format checks.
Read the SandBase API map before selecting or running models.
Do not turn a planning request into paid generation. If the user requests generation, gather only missing choices that materially affect the result, then summarize the execution batch for confirmation.
Use this sequence for image, video, music, TTS, and sound-effect generation:
If the six sandbase_* MCP tools are unavailable, continue only in Plan only mode. Tell the user that generation requires an authorized SandBase connection and point them to the current setup instructions in the SandBase CLI repository. Do not silently substitute another generation provider, request provider API keys, or claim that assets were generated.
sandbase_discover with a short capability query. Search separately for materially different capabilities such as text-to-image, image editing, image-to-video, text-to-music, or TTS.sandbase_inspect for each serious candidate. Compare the live input schema, output shape, price, duration and aspect-ratio limits, reference-input support, audio support, and execution mode.sandbase_account before an approved batch of multiple paid generations.sandbase_run with the exact discovered name and only schema-defined arguments from the current sandbase_inspect response.sandbase_run_get until it completes or fails. Never submit a duplicate merely because generation is still running.sandbase_runs only to reconcile status or cost when the response is lost or the user asks for recent usage.Never invent a SandBase model name, parameter, price, output URL, or capability. Model availability changes, so do not hard-code a provider as universally preferred.
Resolve these decisions before planning shots:
| Field | Decision |
|---|---|
| Purpose | Audience, message, and desired action |
| Narrative | Beginning, development, payoff, and ending |
| Duration | Total target duration and platform limit |
| Format | 16:9 or 9:16 unless the selected model and destination require another ratio |
| Visual language | Medium, subgenre, rendering, palette, lighting, and detail density |
| Recurring elements | Character, product, wardrobe, prop, and location continuity |
| Audio | On-screen speech, narration, music, effects, silence, and language |
| References | User-owned images, brand rules, examples, and prohibited elements |
| Deliverable | Plan, loose assets, or assembled file and required codec/container |
Ask a compact question only for missing information that changes the production. Otherwise state reasonable assumptions. Before paid generation, show the finalized brief and the SandBase execution batch together for confirmation.
Create a reusable production bible:
Treat references as private user data unless the user says otherwise. Upload only what the selected model needs. Do not clone a real person's face or voice, or imitate a living artist's identity, without the required rights and consent.
Prefer clips of 3–10 seconds with one primary action and one coherent location. For each clip, record:
| Field | Required detail |
|---|---|
| Purpose | Establish, develop, transition, climax, resolve, or insert |
| Timing | Start, end, and target duration |
| Scene | Environment and elements present from the first frame |
| Action | Subject, movement trajectory, state changes, and end state |
| Camera | Framing, angle, lens feel, and camera movement |
| Continuity | Scene cut or continuous boundary; new keyframe or prior final-frame reuse |
| Audio | Dialogue, narration span, effects, music cue, or silence |
| Dependencies | Required reference, prior clip, voice, or music segment |
Write every video prompt with enough temporal detail to constrain the transition. Include what exists at the start, how the subject and camera move, what changes over time, what remains present, and how the shot ends. Avoid compressing unrelated actions into one clip.
For narration, budget text against the available time. As a rough check, allow about four CJK characters or 2.5 English words per second, then leave breathing room. Generate narration per coherent span rather than as one monolithic track.
If using separate music, create a timecoded emotional arc after the shot plan. Merge adjacent spans only when their mood, density, instrumentation, and energy are genuinely the same.
Inspect live SandBase candidates against the plan before generating anything:
Generate only references used by planned shots:
If a required capability is unavailable, revise the plan with the user instead of silently substituting an incompatible model.
For a new shot, generate a first keyframe from the approved references and include the global style, scene, framing, visible content, subject anchor, aspect ratio, and exclusions.
For a continuous boundary:
Generate dependency chains sequentially. Independent clips may run in parallel only when the approved budget covers the full batch and the host can track every run ID without confusion.
On-screen dialogue, singing, or lip sync may be embedded only when sandbase_inspect confirms the chosen video model supports it. Otherwise generate silent picture and use an inspected speech or lip-sync capability; explain the compromise before running it.
Store every returned run ID and asset URL in an asset ledger with the clip/span number, selected endpoint, important arguments, status, and actual cost when available.
Use local deterministic media tooling when available. Do not send completed assets to another external service merely to concatenate or mix them.
Assembly rules:
Verify the final file by checking duration, dimensions, orientation, decodability, audio presence, and representative frames at the beginning, shot boundaries, and end. Watch or inspect the full render when the host supports it.
If local assembly tools are unavailable, return the ordered assets, timecodes, prompts, run IDs, and an explicit assembly manifest instead of claiming a finished video.
Return:
Do not claim completion while a SandBase run is pending, an output is missing, or the assembled file has not passed basic media checks.
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概要と使いどころ
Search academic papers, scholarly articles, and research publications through SandBase. Use when asked for literature review, academic citations, scholarly research, paper discovery, or scientific evidence gathering.
日本語の概要は準備中です。原文の説明を表示しています。
Research emerging academic trends by combining scholarly databases, web sources, and news to identify rising research areas, breakthrough papers, and shifting scientific consensus. Ideal for R&D teams tracking frontier science.
日本語の概要は準備中です。原文の説明を表示しています。
Create, implement, or review accessibility review work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on accessibility review.
日本語の概要は準備中です。原文の説明を表示しています。
Plan, implement, or review agentic eval work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests agentic eval work.
日本語の概要は準備中です。原文の説明を表示しています。
Create or review ai seo deliverables with audience, evidence, voice, and conversion-quality controls. Use when the user explicitly asks for ai seo work.
日本語の概要は準備中です。原文の説明を表示しています。
Apply airflow dag patterns in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses airflow dag patterns or its strengths fit the task.
日本語の概要は準備中です。原文の説明を表示しています。