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gemini

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Google's Gemini / Imagen / Veo / Lyria models inside Nebula — text & vision chat, Imagen 4 text-to-image, Nano Banana image gen/edit/compose, Veo 3.1 video with sound, Lyria 3 music, Gemini TTS narration, text embeddings, and a Style Reference utility. Activate when the user configures any gemini-chat, imagen-4-generate, nano-banana, veo-3, lyria-3, gemini-tts, gemini-embeddings, or style-reference node, or asks about Gemini / Imagen / Veo / Nano Banana / Lyria in Nebula. For prompt craft also load the topic files (nano-banana.md, veo.md, imagen.md, gemini-text.md). Sourced from ai.google.dev (image-generation, imagen, video, speech-generation, music-generation, embeddings) and the Nebula audit guide docs/api-guides/google.md, cross-checked against backend/data/node_definitions.json + backend/handlers/google_gemini.py + backend/handlers/veo.py on 2026-06-04.

التثبيت

التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.

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المصدر

JustinPerea

JustinPerea/nebula-nodes

فتح مستودع GitHub عرض مستودعات المنشئ

تنزيل

تشغيل في Manus

المهن ذات الصلةSOC

استنادا إلى تصنيف SOC المهني

مطوّرو البرمجياتمهن الحاسوب والرياضيات·SOC 15-1252

مستكشف الملفات

7 ملفات

SKILL.md

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المزيد من هذا المستودع

نفس المستودع

fal

JustinPerea/nebula-nodes

FAL.ai model catalog access — image, video, audio, 3D, LoRA training, and more via fal-ai/ and bytedance/ and wan/ endpoints. Activate when the user configures any nebula node that routes through FAL (kling, sora, veo, flux, seedance, wan, luma, pixverse, ltx, moonvalley, hunyuan3d, recraft, nano-banana via FAL, and 30+ others), when the user mentions a fal-ai/ slug, or when they ask which FAL model to use for a task. Entry point for 160 curated per-model skills + category overviews at `.agents/skills/fal/`.

2026-07-2313

fal

JustinPerea/nebula-nodes

FAL (fal.ai) is Nebula's all-purpose generation gateway — one API key fronts 52 ready-to-use nodes for image, video, 3D, and audio generation (FLUX, GPT Image 1.5/2, Seedream, Ideogram 4 (gen + edit/remix/reframe/replace-background/character/upscale), Recraft, Sora 2, Kling, Wan, Luma Ray 2, PixVerse, LTX, Seedance, Hunyuan3D, Meshy, Stable Audio 2.5, ACE-Step, MMAudio V2, Demucs, Clarity Upscaler, SeedVR2 Video Upscale) plus the catch-all `fal-universal` slug node. Activate when the user configures any FAL node — flux-1-1-ultra, flux-2-pro, flux-schnell, fast-sdxl, flux-kontext, flux-fill-inpaint, gpt-image-1-5, gpt-image-1-5-edit, gpt-image-2-fal-generate, gpt-image-2-fal-edit, seedream-4-5, ideogram-v4, ideogram-edit, ideogram-remix, ideogram-reframe, ideogram-replace-background, ideogram-character, ideogram-upscale, recraft-v4-raster, recraft-v4-svg, sora-2, kling-v2-1, kling-v3, kling-o3, wan-2-6-t2v, wan-2-6-i2v, wan-2-6-r2v, luma-ray2-t2v, luma-ray2-i2v, luma-ray2-flash-modify, pixverse-v4-5, ltx-video

2026-07-2313

anthropic

JustinPerea/nebula-nodes

Anthropic (Claude) Messages API in Nebula — a single text-gen node (Claude / claude-chat) that turns a text prompt plus optional image(s) into streamed text, with system prompt, temperature/top_p/stop sampling, and extended-thinking. Use for captioning, summarizing, translating, rewriting, reasoning, and drafting prompts to feed other media nodes. Activate when the user configures the `claude-chat` node, wires a Claude/Anthropic node into a graph, or asks about Anthropic/Claude in Nebula. Sourced from the official Anthropic Messages API (platform.claude.com/docs/en/api/messages) and the Nebula audit guide docs/api-guides/anthropic.md on 2026-06-04.

2026-07-2213

elevenlabs

JustinPerea/nebula-nodes

ElevenLabs audio API in Nebula — text-to-speech, sound-effects-from-text, speech-to-speech voice changing, audio isolation (denoise), translated dubbing, and speech-to-text transcription, all as audio-gen nodes. Activate when the user configures any elevenlabs-tts, elevenlabs-sfx, elevenlabs-sts, elevenlabs-isolation, elevenlabs-dubbing, or elevenlabs-stt node, or asks about ElevenLabs in Nebula. Sourced from the official ElevenLabs API reference (elevenlabs.io/docs/api-reference) cross-checked against backend/handlers/elevenlabs.py + backend/data/node_definitions.json, and the Nebula audit guide docs/api-guides/elevenlabs.md, on 2026-06-05.

2026-07-2213

gemini

JustinPerea/nebula-nodes

Best practices for prompting Google's Gemini-family APIs — Gemini text models, Imagen, Nano Banana (Gemini 3.1 Flash Image), and Veo video. Activate when writing prompts, building graphs, or configuring nodes that target any Gemini model, when editing files importing `google-genai` / `@google/genai`, or when the user asks about Imagen, Nano Banana, or Veo. Routes to topic files for deep guidance. Sourced from ai.google.dev with fetch dates noted — verify against the live docs for anything that smells stale.

2026-07-2213

higgsfield

JustinPerea/nebula-nodes

Higgsfield video generation in Nebula — text-to-video and image-to-video short cinematic clips via the DoP ("Depth of Presence") model plus Kling v2.1 Pro and Seedance v1 Pro guest models, with duration and aspect-ratio control. Activate when the user configures the `higgsfield` node or asks about Higgsfield in Nebula. The node is video-output only (no Soul images, Speak lipsync, or motion-camera presets are wired). Sourced 2026-06-04 from the official Higgsfield API docs (docs.higgsfield.ai) plus the Nebula audit guide docs/api-guides/higgsfield.md.

2026-07-2213

name

gemini

description

Gemini Skill

Nebula exposes Google's generative stack as 8 nodes, all keyed on one GOOGLE_API_KEY and all hitting generativelanguage.googleapis.com/v1beta directly (the Gemini Developer API, not Vertex). This file is the authoritative map of the real Nebula node IDs, param keys, ports, and execution patterns. For prompt-writing depth, load the topic files listed under Routing.

When to use

The user configures or asks about any Google node: gemini-chat, imagen-4-generate, nano-banana, veo-3, lyria-3, gemini-tts, gemini-embeddings, style-reference.
The user asks "which Gemini / Imagen / Nano Banana / Veo / Lyria model should I use?" or how to wire one into a graph.
Editing the handlers backend/handlers/google_gemini.py or backend/handlers/veo.py, or the Google node defs in backend/data/node_definitions.json.
The user describes an image/video/music/TTS/embedding task that a Google node could serve.

Universal rules

Auth. Every node sends the header x-goog-api-key: <GOOGLE_API_KEY> (not Authorization: Bearer). The env var is GOOGLE_API_KEY, read from .env at the repo root; restart the backend after adding it. One key covers all 8 nodes. veo-3 also declares FAL_KEY because it can route through FAL — but the direct Google path documented here needs only GOOGLE_API_KEY.
Base URL. https://generativelanguage.googleapis.com/v1beta/models. The endpoint verb is per-node: :generateContent (Nano Banana, Lyria, TTS, Style Reference), :streamGenerateContent?alt=sse (Gemini chat), :predict (Imagen), :embedContent (Embeddings), :predictLongRunning + operation polling (Veo).
Execution patterns (confirmed from handlers):
- stream (SSE) — gemini-chat only. Hits :streamGenerateContent?alt=sse; deltas read from candidates.0.content.parts.0.text; 60 s timeout.
- sync (one POST, blocks for the result) — nano-banana, imagen-4-generate, lyria-3, gemini-tts, gemini-embeddings, style-reference. Timeouts: 120 s images/TTS, 180 s Lyria, 60 s embeddings.
- async-poll — veo-3 only. POST to :predictLongRunning returns an operation name; the handler polls GET /v1beta/{name} every 3 s up to 300 times (~15 min ceiling), emits progress, then downloads the finished MP4 to the run dir. Expect minutes, not seconds.
Status / error codes. Handlers treat any non-200 as a hard failure and raise "<Service> API error <status>: <body>". Common: 400 bad params (e.g. sending both thinkingLevel and thinkingBudget to Gemini 3 → 400; an unsupported aspect/size for the chosen model), 401/403 bad or missing key, 429 rate/quota, 5xx transient. Veo additionally surfaces an error object inside the completed operation.
Input-URI rules. Image inputs on gemini-chat, nano-banana, lyria-3, and veo-3 accept three forms and the handler converts each: a local file path (base64-inlined; png/jpg/jpeg/webp mapped, anything else defaults to image/png), an http(s):// URL (sent as fileData/file_data; for Veo it's downloaded then inlined), or a data: URI (split into mime + base64). So you can wire another node's Image output straight in. style-reference is the exception — it takes no input port; you set its filePath param to a local image.
Key gotchas.
- Gemini 3 vs 2.5 thinking is mutually exclusive. thinkingLevel only shows on the Gemini 3 models; thinkingBudget only on the 2.5 models. The handler sends one or the other — never both (the API 400s on both).
- Model IDs are the literal enum strings. The exact strings below (e.g. gemini-3.1-flash-image-preview, gemini-3-flash-preview, lyria-3-clip-preview, veo-3.1-generate-preview) are the values the node's model enum actually sends. Do not "modernize" them by stripping or adding -preview — most are pinned preview ids, but a few are stable ids with no suffix (gemini-3.5-flash, gemini-3.1-flash-lite, the 2.5 text models). Use each id exactly as listed. (The prompting-craft topic files sometimes use shorthand like imagen-4; the IDs in this file are the ground truth for wiring.)
- Nano Banana / Imagen / Veo have no transparent-background mode. Ask for "white background" in the prompt for stickers/cutouts.
- Veo outputs expire on Google's side (~2 days). Nebula downloads the MP4 to the run folder automatically on completion, so the local copy is yours; don't rely on the remote URI later.
- Lyria WAV uses a proto-enum mime. When outputFormat=wav on the Pro model, the handler sends responseFormat.audio.mimeType = "AUDIO_WAV" (not the literal "audio/wav", which the API rejects). WAV is Pro-only; the Clip model returns MP3.
- TTS audio is raw PCM. The model returns 24 kHz / 16-bit / mono PCM; the handler wraps it into a .wav. Output is always WAV regardless of model.
- Embeddings output is text, not a vector type. The embedding port is a JSON-stringified float array (Text), and dimensions is the count as a string — so downstream nodes receive text you parse yourself.

Pick the right node

One row per Nebula Google node. IDs, ports, and param keys are ground-truth from node_definitions.json.

Node (display)	Node ID	Category · pattern	Endpoint verb	Key inputs → outputs	Model enum (literal values)	Headline params
Gemini	`gemini-chat`	text-gen · stream	`:streamGenerateContent?alt=sse`	`messages` (Text, req), `images` (Image, multi) → `text`	`gemini-3.5-flash` (default, stable), `gemini-3.1-pro-preview`, `gemini-3-flash-preview`, `gemini-3.1-flash-lite` (stable), `gemini-2.5-pro`, `gemini-2.5-flash`, `gemini-2.5-flash-lite`	`temperature`, `max_tokens`, `system`, `thinkingLevel` (G3) / `thinkingBudget` (2.5), `top_p`, `top_k`, `stop_sequences`, `response_format`
Imagen 4	`imagen-4-generate`	image-gen · sync	`:predict`	`prompt` (Text, req) → `image`	`imagen-4.0-generate-001` (default), `imagen-4.0-ultra-generate-001`, `imagen-4.0-fast-generate-001`	`aspectRatio`, `numberOfImages`, `seed`, `enhancePrompt`, `imageSize` (1K/2K, base+Ultra only), `personGeneration`
Nano Banana	`nano-banana`	image-gen · sync	`:generateContent`	`prompt` (Text, req), `images` (Image, multi) → `image`, `text`	`gemini-3.1-flash-image-preview` (default, "Nano Banana 2"), `gemini-3-pro-image-preview` ("Pro"), `gemini-2.5-flash-image` ("2.5 Flash")	`aspect_ratio`, `imageSize` (512/1K/2K/4K)
Veo 3.1	`veo-3`	video-gen · async-poll	`:predictLongRunning` → poll	`prompt` (Text, req), `image` (First Frame), `last_frame` (Last Frame), `video` (Extend Video) → `video`, `source_uri`	`veo-3.1-generate-preview` (default), `veo-3.1-fast-generate-preview`, `veo-3.1-lite-generate-preview`, `veo-3.0-generate-001`, `veo-3.0-fast-generate-001`, `veo-2.0-generate-001`	`aspectRatio`, `duration`, `resolution`, `personGeneration`, `seed` (direct); `negative_prompt`/`safety_tolerance` (FAL path only)
Lyria 3	`lyria-3`	audio-gen · sync	`:generateContent`	`prompt` (Text, req), `images` (Image, multi) → `audio`, `text` (Lyrics)	`lyria-3-clip-preview` (default, 30 s), `lyria-3-pro-preview` (full song)	`outputFormat` (MP3/WAV — WAV is Pro-only)
Gemini TTS	`gemini-tts`	audio-gen · sync	`:generateContent`	`text` (Text, req) → `audio`	`gemini-3.1-flash-tts-preview`, `gemini-2.5-flash-preview-tts` (default), `gemini-2.5-pro-preview-tts`	`voiceName` (30 voices)
Gemini Embeddings	`gemini-embeddings`	utility · sync	`:embedContent`	`text` (Text, req) → `embedding`, `dimensions`	`gemini-embedding-001` (default, text), `gemini-embedding-2-preview` (multimodal — reaches API as text only)	`taskType` (8 enums), `outputDimensionality` (768/1536/3072)
Style Reference	`style-reference`	utility · sync	`gemini-2.5-flash:generateContent`	no input port → `image` (Reference), `style_description` (Style)	fixed `gemini-2.5-flash`	`filePath` (req), `mode`, `manual_description`, `focus`, `strength`

Param reference

Defaults, ranges, and enums per node, straight from node_definitions.json + handler behavior.

`gemini-chat`

model (enum, req, default gemini-3.5-flash) — seven values; see table (updated 2026-06-10: gemini-3.5-flash is the new stable default, replacing gemini-2.5-flash; gemini-3.1-flash-lite replaced the old gemini-3.1-flash-lite-preview id). The display picks the family.
max_tokens (int, default 8192, 1–65535) → generationConfig.maxOutputTokens.
temperature (float, default 1, 0–2, step 0.1). Keep at 1.0 for Gemini 3 (lowering can loop/degrade).
system (textarea) → systemInstruction.
thinkingLevel (enum, Gemini 3 models only: ""/minimal/low/medium/high) → thinkingConfig.thinkingLevel. "" = model default.
thinkingBudget (int, 2.5 models only, 0–65536) → thinkingConfig.thinkingBudget. Mutually exclusive with thinkingLevel.
top_p (float, 0–1, step 0.05), top_k (int, hint 64), stop_sequences (comma-separated string).
response_format (enum, default text/plain; or application/json). JSON mode is now wired (2026-06-05): application/json sets generationConfig.responseMimeType = "application/json" so the reply is valid JSON. There is still no responseSchema field, so a strict schema must be prompt-engineered. Unit-tested.
Output: single text port. Streams token-by-token to the canvas.

`imagen-4-generate`

model (enum, req, default imagen-4.0-generate-001) — base / ...ultra... / ...fast....
aspectRatio (enum, default 1:1): 1:1, 4:3, 3:4, 16:9, 9:16.
numberOfImages (int, default 1, 1–4) → sampleCount. Note: only the first prediction is saved to the image port.
seed (int, optional) — reproducibility.
enhancePrompt (bool, default false) — Google rewrites the prompt for richer detail.
imageSize (enum, default 1K; 1K/2K) — visible only on base + Ultra (not Fast).
personGeneration (enum, default allow_adult): allow_all / allow_adult / dont_allow.

`nano-banana`

model (enum, default gemini-3.1-flash-image-preview). Pro = gemini-3-pro-image-preview; original = gemini-2.5-flash-image.
aspect_ratio (enum, default 1:1): 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 5:4, 4:5, 21:9. Extreme ratios 1:4, 4:1, 1:8, 8:1 appear only on Nano Banana 2 (...3.1-flash-image-preview).
imageSize (enum, default 1K; visible on Nano Banana 2 + Pro, not 2.5 Flash): 1K, 2K, 4K, plus 512 on Nano Banana 2 only.
Inputs: up to N reference images on images (multi). Outputs both an image and any model text.
Sends responseModalities: ["IMAGE","TEXT"]; aspect/size go into generationConfig.imageConfig.

`veo-3`

Params split three ways in the def (this is a dual-provider node):

sharedParams (both Google + FAL): aspectRatio (default 16:9; 16:9/9:16), duration (default 8; valid set varies by model — 4/6/8 on Veo 3.x & Veo 3, 5/6/8 on Veo 2), resolution (default 720p; 720p/1080p, plus 4k on full Veo 3.x and Veo 3 — not Lite), personGeneration (allow_all/allow_adult/dont_allow).
directParams (Google path): model (default veo-3.1-generate-preview, six values), seed (int; not on Veo 2).
falParams (FAL path only): negative_prompt (string), seed (int), safety_tolerance (enum 1–6, default 4). The direct Google path does not expose a negative prompt.
Handler maps duration → durationSeconds (int), strips a trailing s. First/last frame come from the image / last_frame ports, not params.
Video extension (Google path, 2026-06-08). A 4th input port video ("Extend Video") continues an existing clip; a 2nd output source_uri carries this generation's Veo files/... URI. To extend in-graph, wire an upstream veo-3 node's source_uri → a downstream veo-3 node's video input. Veo only accepts its own generated source URI (re-uploaded/external video → 400 "must be a video generated by VEO"), so wiring the regular video (downloaded file) output into Extend Video fails by design — use source_uri. Extension is veo-3.0/3.1 generate+fast only (not lite, not veo-2.0), output is locked to 720p, and the source URI is valid only ~2 days. Cannot combine with image/last_frame.
Reference images ("ingredients to video") are NOT available. Documented for Veo 3.1, but the live Gemini API rejects them ("Your use case is currently not supported") on both veo-3.1-generate-preview and veo-3.1-fast-generate-preview with an AI-Studio key (verified 2026-06-08). There is no reference-image port; don't promise subject/wardrobe consistency via Veo refs.

`lyria-3`

model (enum, req, default lyria-3-clip-preview): Clip (≤30 s) or lyria-3-pro-preview (full song).
outputFormat (enum, default mp3; visible only on Pro): mp3 / wav. WAV → proto enum AUDIO_WAV over the wire.
Inputs: prompt (req) + optional images (mood/scene reference). Outputs audio + text (Lyrics).
Sends responseModalities: ["AUDIO","TEXT"].

`gemini-tts`

model (enum, default gemini-2.5-flash-preview-tts): gemini-3.1-flash-tts-preview (added 2026-06-10) · gemini-2.5-flash-preview-tts · gemini-2.5-pro-preview-tts.
voiceName (enum, default Kore) — 30 prebuilt voices, each labeled with a character: e.g. Kore (Firm), Puck (Upbeat), Zephyr (Bright), Charon (Informative), Fenrir (Excitable), Leda (Youthful), Aoede (Breezy), Enceladus (Breathy), Algieba (Smooth), Sulafat (Warm), Achird (Friendly), Gacrux (Mature) … through Sadaltager (Knowledgeable). Pick by the vibe label.
Input: text (req) — this is the script to speak. Output: audio (WAV).
Single-speaker only; sends speechConfig.voiceConfig.prebuiltVoiceConfig.voiceName.

`gemini-embeddings`

model (enum, default gemini-embedding-001) or gemini-embedding-2-preview (multimodal model, but the node only feeds it text).
taskType (enum, default SEMANTIC_SIMILARITY): SEMANTIC_SIMILARITY, RETRIEVAL_QUERY, RETRIEVAL_DOCUMENT, CLASSIFICATION, CLUSTERING, CODE_RETRIEVAL_QUERY, QUESTION_ANSWERING, FACT_VERIFICATION. Match query vs document: embed stored docs with RETRIEVAL_DOCUMENT, embed the live search string with RETRIEVAL_QUERY — mismatching them hurts recall.
outputDimensionality (enum, default 768): 768 / 1536 / 3072. Smaller = cheaper storage & faster cosine; 3072 = max fidelity.
Input: text (req). Outputs: embedding (JSON array as Text) + dimensions (count as Text).

`style-reference`

A local utility that turns one image into a reusable look. No input port — set filePath directly.

filePath (file, req) — the reference image on disk.
mode (enum, default auto): auto (Gemini 2.5 Flash writes the description), manual (you supply it), passthrough ("Image only" — emit just the Reference image, no text).
manual_description (textarea) — visible only when mode=manual; the style text you author.
focus (enum, default all; visible only when mode=auto): all (palette + lighting + medium + mood), palette, lighting, medium (texture). Narrow it to transfer just one axis.
strength (float, default 0.7, 0–1, step 0.05) — how strongly the description leans into the style.
Outputs: image (Reference, the original image re-emitted) + style_description (Style, Text). Wire Style → a generator's prompt and Reference → that generator's images input.

Recipes

Concrete graphs using real node IDs.

Illustrated short with a soundtrack. imagen-4-generate (hero still, aspectRatio=16:9) → wire its image into veo-3's First Frame (image port), prompt the motion (model=veo-3.1-generate-preview, resolution=1080p). In parallel, lyria-3 (model=lyria-3-clip-preview, prompt the mood) produces a 30 s bed. Mix the Lyria audio under the Veo video downstream. Remember Veo is async-poll — it'll take minutes.
Style-locked product shots. style-reference (set filePath to a reference photo, mode=auto, focus=all, strength=0.7) → route style_description (Style) into nano-banana's prompt and the Reference image into its images input, then append your product description. Use model=gemini-3-pro-image-preview for legible packaging text; bump imageSize=2K. Every render inherits the reference's look and stays product-consistent across angles.
Narrated explainer with slides. gemini-chat (system="You are a concise narrator", response_format=text/plain) writes a script from a topic → feed its text into gemini-tts (voiceName=Charon for an informative read) for spoken VO. Generate matching imagen-4-generate stills for each slide. (Keep narration single-voice — TTS here is single-speaker.)
Searchable knowledge base (RAG backbone). For each document: gemini-embeddings (taskType=RETRIEVAL_DOCUMENT, outputDimensionality=768) → store the embedding text (parse the JSON array). At query time, embed the user's question with taskType=RETRIEVAL_QUERY and cosine-rank. Nebula builds the index yourself — there's no managed File Search node.

In the nebula_nodes context

Node IDs (8): gemini-chat, imagen-4-generate, nano-banana, veo-3, lyria-3, gemini-tts, gemini-embeddings, style-reference.
Handler files: backend/handlers/google_gemini.py (chat, nano-banana, imagen4, lyria3, tts, embeddings — and Style Reference's gemini-2.5-flash describe call) and backend/handlers/veo.py (Veo submit + poll + download). Param-build logic lives there; consult it before changing a param name.
Ports & chaining.
- Image outputs (imagen-4-generate.image, nano-banana.image, style-reference.image) plug into any node's Image-typed input (nano-banana.images, veo-3.image/last_frame, gemini-chat.images, lyria-3.images).
- gemini-chat.text → any Text input (e.g. gemini-tts.text, nano-banana.prompt, imagen-4-generate.prompt).
- style-reference.style_description (Text) → a generator's prompt; pair its image (Reference) into that generator's images.
- gemini-embeddings emits Text (a JSON array + a count), not a numeric vector type — parse it downstream.
How outputs render. Images/video/audio are saved to the run dir and served via the outputs route; the canvas previews them (image/video/audio players). gemini-chat streams text live into its node.
Where they appear in the palette: text-gen (Gemini), image-gen (Imagen 4, Nano Banana), video-gen (Veo 3.1), audio-gen (Lyria 3, Gemini TTS), utility (Gemini Embeddings, Style Reference).
Veo dual-provider: veo-3 carries both GOOGLE_API_KEY and FAL_KEY. The direct Google path (this skill) uses directParams; switching to FAL swaps in falParams (negative_prompt, safety_tolerance) — the negative prompt is only reachable via FAL.

Capability boundaries (what the API can do that Nebula does NOT expose)

Never promise these through the current nodes — they exist in the Google API but are not surfaced. (Source: gap table in docs/api-guides/google.md.)

Gemini text tools — all absent. No function calling, no Google Search grounding, no URL-context tool, no code execution. gemini-chat is plain generateContent with vision-in.
Structured output: JSON mode works, no schema. response_format=application/json is honored (sets generationConfig.responseMimeType, wired 2026-06-05), but there's no responseSchema — strict schemas must be prompt-engineered.
Vision-in only for understanding. gemini-chat accepts images; video / audio / PDF understanding is not wired.
Nano Banana: image-search grounding and explicit thinkingLevel control are not surfaced (text-to-image, edit, and multi-image compose are).
Imagen edit / inpaint / customize / upscale: not available — those live in Vertex AI, not the Gemini Developer API Nebula targets. (Not a Nebula gap, an API-surface boundary.)
Veo: reference images (up to 3) and video extension (longer-than-8 s clips, up to ~148 s) are not exposed on the direct path; negative prompt only via the FAL route.
TTS: multi-speaker (2-voice) dialogue is not surfaced — single-speaker only (the 3.1 Flash TTS preview model joined the enum 2026-06-10).
Lyria: Lyria RealTime (streaming/WebSocket music, weighted-prompt steering) is not exposed — only the batch Clip/Pro models.
Embeddings: true multimodal embedding (image/audio/video/PDF via Embedding 2) only reaches the API as text here.
Operational endpoints — none: no Live API (realtime voice), no Computer Use, no File Search / managed RAG, no Batch API, no context caching, no token counting.
Safety: only personGeneration (Imagen/Veo) is adjustable; there is no general safetySettings block.

Coverage is roughly the 8 core generative modalities (text, Imagen, Nano Banana, Veo, Lyria, TTS, embeddings, + a style-extraction helper); the gaps are advanced text-model tooling and operational/streaming endpoints, not missing media types.

Routing

Prompt-writing depth lives in topic files — load the relevant one before authoring the text that feeds a node:

nano-banana.md — Gemini image family: narrative prompting, editing, multi-image composition, in-image text.
veo.md — Veo 3.x: prompt structure, camera language, audio, refs, extension, first/last frame.
imagen.md — Imagen 4 text-to-image (uses imagen-4 shorthand; wire with the real imagen-4.0-* IDs above).
gemini-text.md — Gemini text prompting, structured output, thinking mode.
reference/model-ids.md — full model-ID catalog incl. Live, computer-use, deep-research (broader than the 8 Nebula nodes).
reference/official-docs.md — canonical ai.google.dev URLs to fetch when content smells stale.

These topic files are prompt-craft references synthesized 2026-04-16 and may lag the live API; the node IDs/params in this SKILL.md were re-verified against the repo on 2026-06-04 (model enums updated 2026-06-10) and are authoritative for wiring.

Sources

Gemini API overview — https://ai.google.dev/gemini-api/docs
Image generation & editing (Nano Banana) — https://ai.google.dev/gemini-api/docs/image-generation
Imagen — https://ai.google.dev/gemini-api/docs/imagen
Video generation (Veo) — https://ai.google.dev/gemini-api/docs/video
Speech generation (TTS) — https://ai.google.dev/gemini-api/docs/speech-generation
Music generation (Lyria) — https://ai.google.dev/gemini-api/docs/music-generation
Embeddings — https://ai.google.dev/gemini-api/docs/embeddings
Model catalog — https://ai.google.dev/gemini-api/docs/models
Nebula audit guide (node table, params, gap table) — docs/api-guides/google.md