Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Browse Venice AI's character personas library - discover AI characters for roleplay, creative writing, and conversations.
Browse Venice AI's character personas library - discover AI characters for roleplay, creative writing, and conversations.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Complete toolkit for the entire Venice AI API. Includes all inference endpoints (image, video, audio, embeddings), discovery tools (models, characters), and admin functions (billing, usage, API keys). API Base URL: https://api.venice.ai/api/v1 Documentation: docs.venice.ai
Get your API key from venice.ai โ Settings โ API Keys Set the environment variable: export VENICE_API_KEY="your_api_key_here" Or configure in ~/.openclaw/openclaw.json: { skills: { entries: { "venice-api-kit": { apiKey: "your_api_key_here" } } } }
Generate images using Venice's image models. Returns base64 image data. uv run {baseDir}/scripts/image_generate.py --prompt "a serene mountain landscape at sunset" Options: --prompt (required): Description of the image (max 7500 chars, model-dependent) --output: Output filename (default: auto-generated timestamp) --model: Model ID (default: flux-2-max) --size: Image size: 1024x1024, 1536x1024, 1024x1536, 1792x1024, 1024x1792 (default: 1024x1024) --style-id: Style preset ID (use --list-styles to see available) --negative-prompt: What to avoid in the image --seed: Seed for reproducible generation List available styles: uv run {baseDir}/scripts/image_generate.py --list-styles
Upscale images 1-4x with optional AI enhancement. Returns binary PNG. uv run {baseDir}/scripts/image_upscale.py --image input.png --scale 2 Options: --image (required): Input image path or URL --output: Output filename (default: upscaled-{timestamp}.png) --scale: Scale factor 1-4 (default: 2). Scale of 1 requires --enhance --enhance: Enable AI enhancement during upscaling --enhance-creativity: How much AI can change (0-1, higher = more creative) --enhance-prompt: Style to apply (e.g., "gold", "marble", "cinematic") --replication: Preserve original lines/noise (0-1, higher = less hallucination) Example with enhancement: uv run {baseDir}/scripts/image_upscale.py --image photo.png --scale 2 --enhance --enhance-prompt "cinematic lighting"
Edit images with AI using text prompts. Returns binary PNG. uv run {baseDir}/scripts/image_edit.py --image photo.png --prompt "add sunglasses" Options: --image (required): Input image path or URL --prompt (required): Edit instructions (e.g., "remove the tree", "change sky to sunset") --output: Output filename (default: edited-{timestamp}.png) --model: Edit model (default: qwen-edit). Available: qwen-edit, flux-2-max-edit, gpt-image-1-5-edit, nano-banana-pro-edit, seedream-v4-edit --aspect-ratio: Output aspect ratio: auto, 1:1, 3:2, 16:9, 21:9, 9:16, 2:3, 3:4
Remove backgrounds from images. Returns binary PNG with transparency. uv run {baseDir}/scripts/image_background_remove.py --image photo.png Options: --image (required): Input image path or URL --output: Output filename (default: no-background-{timestamp}.png)
Convert text to speech with multiple voices and formats. Returns binary audio. uv run {baseDir}/scripts/audio_speech.py --text "Hello, welcome to Venice AI" Options: --text (required): Text to convert (max 4096 characters) --output: Output filename (default: speech-{timestamp}.{format}) --voice: Voice ID (default: af_nicole) --model: TTS model (default: tts-kokoro) --speed: Speed multiplier 0.25-4.0 (default: 1.0) --format: Audio format: mp3, opus, aac, flac, wav, pcm (default: mp3) --streaming: Stream audio sentence by sentence Available voices: American Female: af_alloy, af_aoede, af_bella, af_heart, af_jadzia, af_jessica, af_kore, af_nicole, af_nova, af_river, af_sarah, af_sky American Male: am_adam, am_echo, am_eric British Female: bf_emma, bf_isabella, bf_alice British Male: bm_george, bm_lewis, bm_daniel
Transcribe audio files to text using Whisper-based speech recognition. uv run {baseDir}/scripts/transcribe.py --file audio.mp3 Options: --file (required): Audio file to transcribe (WAV, MP3, FLAC, M4A, AAC) --output: Save transcription to file --model: ASR model (default: openai/whisper-large-v3) --format: Output format: json or text (default: json) --timestamps: Include word/segment timestamps --language: Language hint (ISO 639-1: en, es, fr, etc.)
Generate vector embeddings for RAG applications. uv run {baseDir}/scripts/embeddings.py --text "Your text to embed" Options: --text: Text to embed (use this OR --file) --file: Read text from file --output: Save embeddings to JSON file --model: Embedding model (default: text-embedding-3-small)
Generate videos from text prompts. Some models require a reference image. Async with polling. Text-to-video: uv run {baseDir}/scripts/video_generate.py --prompt "a cat playing piano" Image-to-video (requires reference image): uv run {baseDir}/scripts/video_generate.py --prompt "a cat playing piano" --image reference.png Options: --prompt (required): Video description (max 2500 characters) --image: Reference image (path or URL) - required for image-to-video models --output: Output filename (default: venice-video-{timestamp}.mp4) --model: Video model (default: wan-2.6-image-to-video). Also: wan-2.6-text-to-video, wan-2.6-flash-image-to-video --duration: Video duration: 5s or 10s (default: 5s) --resolution: Resolution: 480p, 720p, 1080p (default: 720p) --aspect-ratio: Aspect ratio (e.g., 16:9, 9:16, 1:1) --negative-prompt: What to avoid in the video --max-wait: Max seconds to wait for completion (default: 600)
List and explore all available Venice AI models. No API key required. uv run {baseDir}/scripts/models.py Options: --type: Filter by type: all, text, image, video, tts, asr, embedding, code, upscale, inpaint (default: all) --format: Output format: table, json, names (default: table) --output: Save to file Examples: uv run {baseDir}/scripts/models.py --type image uv run {baseDir}/scripts/models.py --format json --output models.json
Browse and discover Venice AI character personas. uv run {baseDir}/scripts/characters.py Options: --search: Search by name or description --tag: Filter by tag --limit: Max results (default: 20) --format: Output format: table, json, list (default: table) --output: Save to file Examples: uv run {baseDir}/scripts/characters.py --search "coding" uv run {baseDir}/scripts/characters.py --tag "assistant" --format json
Check your DIEM and USD balances. Requires Admin API key. uv run {baseDir}/scripts/balance.py Shows current balance, consumption currency, and DIEM epoch allocation.
View detailed usage history with filtering. Requires Admin API key. uv run {baseDir}/scripts/usage.py Options: --currency: Filter by currency: DIEM, USD, VCU (default: DIEM) --start-date: Start date (ISO format: 2024-01-01) --end-date: End date (ISO format: 2024-12-31) --limit: Results per page, max 200 (default: 50) --page: Page number (default: 1) --sort: Sort order: asc, desc (default: desc) --format: Output format: json, csv (default: json) --output: Save to file Examples: uv run {baseDir}/scripts/usage.py --currency USD --limit 100 uv run {baseDir}/scripts/usage.py --start-date 2024-01-01 --format csv --output usage.csv
List all your API keys with metadata. Requires Admin API key. uv run {baseDir}/scripts/api_keys_list.py Shows key ID, name, type, creation date, last used date, and rate limits.
Get detailed information for a specific API key. Requires Admin API key. uv run {baseDir}/scripts/api_key_get.py --id "key_abc123" Options: --id (required): API key ID to get details for
Create a new API key. Requires Admin API key. uv run {baseDir}/scripts/api_key_create.py --name "My New Key" Options: --name (required): Name for the new API key --type: Key type: INFERENCE (default) or ADMIN Important: The full key is only shown once on creation. Save it immediately.
Update an existing API key's settings. Requires Admin API key. uv run {baseDir}/scripts/api_key_update.py --id "key_abc123" --name "New Name" Options: --id (required): API key ID to update --name: New name for the key
Delete an API key. This action is irreversible. Requires Admin API key. uv run {baseDir}/scripts/api_key_delete.py --id "key_abc123" --force Options: --id (required): API key ID to delete --force (required): Confirm deletion
Get current rate limits and balance information. uv run {baseDir}/scripts/rate_limits.py Shows requests/minute, tokens/minute, tokens/day limits and current usage.
This skill uses uv run which automatically installs Python dependencies (httpx) via PEP 723 inline script metadata. No manual Python package installation required - uv handles everything.
Privacy: All inference is privateโno logging, no training on your data API Key: Store securely, never commit to version control Admin vs Inference Keys: Admin keys can access billing/usageโuse inference keys for everyday work Data: Venice does not retain request/response data Trust: Verify you trust Venice.ai before sending sensitive data
EndpointDescriptionResponse/image/generateFull image generationJSON with base64 images/images/generationsOpenAI-compatible generationJSON with base64/image/upscaleImage upscaling with enhancementBinary PNG/image/editAI image editingBinary PNG/image/background-removeBackground removalBinary PNG (transparent)/audio/speechText-to-speechBinary audio/audio/transcriptionsSpeech-to-textJSON with text/embeddingsVector embeddingsJSON/video/queueQueue video generationJSON with queue_id/video/retrieveRetrieve completed videoBinary MP4 or JSON status/modelsList available modelsJSON/charactersList character personasJSON/billing/balanceCheck account balanceJSON (Admin key)/billing/usageView usage historyJSON (Admin key)/api_keysList API keysJSON (Admin key)/api_keys/{id}Get/Update/Delete API keyJSON (Admin key)/api_keys/rate_limitsGet rate limits & balancesJSON Full API docs: docs.venice.ai
Writing, remixing, publishing, visual generation, and marketing content production.
Largest current source with strong distribution and engagement signals.