Wonda CLI

Wonda CLI is a content creation toolkit for terminal-based agents. Use it to generate images, videos, music, and audio; edit and compose media; publish to social platforms; and research/automate across LinkedIn, Reddit, and X/Twitter.

Install

If wonda is not found on PATH, install it first:

curl -fsSL https://wonda.sh/install.sh | bash

Or via Homebrew: brew tap degausai/tap && brew install wonda Or via npm: npm i -g @degausai/wonda

Setup

Auth: wonda auth login (opens browser) or export WONDERCAT_API_KEY=sk_... or wonda config set api-key sk_...
Base URL (local dev): export WONDERCAT_BASE_URL=http://localhost:14692
Verify: wonda auth check
Config: wonda config set <key> <value> / wonda config get <key> (keys: api-key, base-url)

Access tiers

Not all commands are available to every account type:

Tier	Access
Anonymous (temporary account, no login)	Media upload/download, editing (`video/edit`, `image/edit`, `audio/edit`), transcription, social publishing, scraping, analytics
Free (logged in, Basic/Free plan)	Everything above + generation (`image/generate`, `video/generate`, etc.), styles, recipes, brand
Paid (Plus, Pro, or Absolute plan)	Everything above + video analysis (requires credits), skill commands (`wonda skill install/list/get`)

If a command returns a 403 error, check your plan at https://app.wondercat.ai/settings/billing.

Global output flags

All commands support these output control flags:

--json — Force JSON output (auto-enabled when stdout is piped)
--quiet — Only output the primary identifier (job ID, media ID, etc.) — ideal for scripting
-o <path> — Download output to file (implies --wait)
--fields status,outputs — Select specific JSON fields
--jq '.outputs[0].media.url' — Filter JSON output with a jq expression

How to think about content creation

You are a marketing director with access to a full production toolkit. Before touching any tool, think:

What product category? (beauty, food, tech, fashion, fitness, etc.)
What format performs for this category? (UGC memes for everyday products, cinematic for luxury, before/after for transformations, testimonial for services)
What's the hook? (relatable scenario, surprising twist, aspirational lifestyle, social proof)
What specific scene? (not "product on table" but "person discovering the product in a funny situation")

Decision flow

When asked to create content, follow this order:

Step 1: Gather context

wonda brand                                                    # Brand identity, colors, products, audience
wonda analytics instagram                                      # What content performs well
wonda scrape social --handle @competitor --platform instagram --wait  # Competitive research (if relevant)

# Cross-platform research (if relevant)
wonda x search "topic OR keyword"                              # Find conversations on X/Twitter
wonda x user-tweets @competitor                                # Competitor's recent tweets
wonda reddit search "topic" --sort top --time week             # Reddit discussions
wonda reddit feed marketing --sort hot                         # Subreddit trends
wonda linkedin search "topic" --type COMPANIES                 # LinkedIn company/people research
wonda linkedin profile competitor-vanity-name                  # LinkedIn profile intel

Step 2: Check content skills

Content skills are step-by-step guides for common content types. Each skill tells you exactly which models, prompts, and editing operations to use — and in what order. ALWAYS check skills before building from scratch.

wonda skill list                                # Browse all content skills
wonda skill get <slug>                          # Full step-by-step guide for a skill

Full skill index:

Slug	Description	Input
product-video	Product/scene video — prompt library for all categories	optional product image
ugc-talking	Talking-head UGC — single clip, two-angle PIP, or 20s+ with B-roll	optional reference
ugc-reaction-batch	Batch TikTok-native UGC reactions with viral strategy	optional product image
tiktok-ugc-pipeline	Scrape viral reel → generate 5 UGC → post as drafts	reel or TikTok URL
ugc-dance-motion	Dance/motion transfer	image + video
marketing-brain	Marketing strategy brain — hooks, visuals, ads	user brief
reddit-subreddit-intel	Scrape top posts, analyze virality, generate ideas	subreddit + product
twitter-influencer-search	Find X influencers and amplifiers	competitor/niche keywords

If a skill matches → wonda skill get <slug>, read it, adapt to context, execute each step.

If no skill matches → build from scratch (Step 3).

Step 3: Build from scratch (chain endpoints)

When no skill matches, chain individual CLI commands. Each step produces an output that feeds into the next.

Single asset:

wonda generate image --model nano-banana-2 --prompt "..." --aspect-ratio 9:16 --wait -o out.png
# --negative-prompt "..." — override what to exclude (models like cookie have good defaults)
# --seed <number>         — pin the seed for reproducible results
wonda generate video --model seedance-2 --prompt "..." --duration 5 --params '{"quality":"high"}' --wait -o out.mp4
wonda generate text --model <model> --prompt "..." --wait
wonda generate music --model suno-music --prompt "upbeat lo-fi" --wait -o music.mp3

Audio (speech, transcription, dialogue):

# Text-to-speech
wonda audio speech --model elevenlabs-tts --prompt "Your script here" \
  --params '{"voiceId":"21m00Tcm4TlvDq8ikWAM"}' --wait -o speech.mp3
# elevenlabs-tts always requires a voiceId param
# Common voice: Rachel (female) "21m00Tcm4TlvDq8ikWAM"

# Transcribe audio/video to text
wonda audio transcribe --model elevenlabs-stt --attach $MEDIA --wait

# Multi-speaker dialogue
wonda audio dialogue --model elevenlabs-dialogue --prompt "Speaker A: Hi! Speaker B: Hello!" \
  --wait -o dialogue.mp3

Add animated captions to a video:

The animatedCaptions operation handles everything in one step — it extracts audio, transcribes for word-level timing, and renders animated word-by-word captions onto the video.

# Generate a video with speech audio
VID_JOB=$(wonda generate video --model seedance-2 --prompt "..." --duration 5 --aspect-ratio 9:16 --params '{"quality":"high"}' --wait --quiet)
VID_URL=$(wonda jobs get inference $VID_JOB --jq '.outputs[0].media.url')
wonda media download "$VID_URL" -o /tmp/vid.mp4
VID_MEDIA=$(wonda media upload /tmp/vid.mp4 --quiet)

# Add animated captions (single step)
wonda edit video --operation animatedCaptions --media $VID_MEDIA \
  --params '{"fontFamily":"TikTok Sans SemiCondensed","position":"bottom-center","sizePercent":80,"strokeWidth":2.5,"fontSizeScale":0.8,"highlightColor":"rgb(252, 61, 61)"}' \
  --wait -o final.mp4

The video's original audio is preserved. Do NOT replace the audio with TTS — Sora already generated the speech.

Transitions (effects pipelines on a single video):

wonda transitions presets                            # List built-in presets (JSON)
wonda transitions operations                         # Grouped by category (analysis/effect/...)
wonda transitions operations --json                  # Full per-param metadata
wonda transitions llms                               # Full reference (presets + ops + dependencies)
wonda transitions run --media $VID --preset flash_glow --wait -o out.mp4
# Or build a custom pipeline of steps:
wonda transitions run --media $VID \
  --steps '[{"glow":{"spread":8}},{"scene_flash":{}}]' --wait -o out.mp4
wonda transitions job <jobId>                        # Poll a transition job

Use --preset OR --steps (not both). Requires a full (logged-in) account. Always read wonda transitions llms first when composing a custom pipeline — it documents the detect→segment→effect dependencies and which ops need masks.

Preset variables (variables block). Each preset declares the template variables it accepts under variables in wonda transitions presets. Each entry has name, description, and required. Required variables MUST be supplied or the job is rejected with a 400 — no more silent skipping. Pass them with --var name=value (repeatable) or, for the common prompt case, the --prompt shortcut:

# flash_glow_prompted requires { prompt }
wonda transitions run --media $VID --preset flash_glow_prompted \
  --prompt "woman in white dress" --wait -o out.mp4

# text_behind_person requires { prompt, text }
wonda transitions run --media $VID --preset text_behind_person \
  --var prompt="the person" --var text="HELLO WORLD" --wait -o out.mp4

The prompt variable is a detection text query (Grounding DINO target describing which subject to mask), not a content-generation prompt. For presets that don't declare a prompt variable but still list sam2/clip in models, detection auto-picks the most recurring subject via CLIP — no variable needed.

Building a custom --steps pipeline that uses detect + segment? Add a detect step with method: grounding_dino and put the subject description in that step's prompt param (or use method: clip for auto-detect).

Multi-scene presets (requiresMultiScene: true). Some presets use scene_split and expect a video with multiple cuts/scenes. Check requiresMultiScene in wonda transitions presets — if true, feeding a single continuous shot will produce only one scene and the effect may look underwhelming. Combine clips first or use a video with natural cuts.

Per-step overrides (--overrides). Tweak individual params of a preset's steps without rewriting the whole pipeline. Shape is nested: {stepName: {paramName: value}}. Step and param names come from wonda transitions operations --json.

wonda transitions run --media $VID --preset flash_glow \
  --overrides '{"glow":{"spread":12},"zoom":{"end":2.5}}' --wait -o out.mp4

Output URL paths differ by job type:

Inference jobs (generate, audio): .outputs[0].media.url and .outputs[0].media.mediaId
Editor jobs (edit): .outputs[0].url and .outputs[0].mediaId

Model waterfall

Image

Default: nano-banana-2. Only use others when:

User explicitly asks for a different model
Need vector output → runware-vectorize
Need background removal → birefnet-bg-removal
Cheapest possible → z-image
NanoBanana fails (rare) → seedream-4-5
Need readable text in image → gpt-image-1-5
Photorealistic/creative imagery → grok-imagine or grok-imagine-pro
Spicy content → cookie (SDXL-based, tag-based or natural language prompts) — ONLY select when the user explicitly asks for spicy content. Never auto-select.

Cookie model (cookie): SDXL with DMD acceleration and hires fix. Restricted: only use when the user explicitly requests spicy content. Accepts both danbooru-style tags (1cat, portrait, soft lighting) and natural language. Supports --negative-prompt (has sensible defaults; override only when needed) and --seed for reproducibility.

wonda generate image --model cookie --prompt "1cat, portrait, soft lighting" --wait -o out.png
wonda generate image --model cookie --prompt "a woman in a garden, golden hour" \
  --negative-prompt "ugly, blurry, watermark" --seed 42 --wait -o out.png

Video

Default: seedance-2 (duration 5/10/15s, default 5s, quality: high). Escalation:

Quality complaint or different style → sora2 or sora2pro
Max single-clip duration is 15s for Seedance 2, 20s for Sora → for longer content, stitch multiple clips via merge
Fast generation needed → veo3_1-fast (Veo 3.1, supports 720p/1080p)

Image-to-video routing (MANDATORY when attaching a reference image):

Person/face visible in the reference image → MUST use kling_3_pro (preserves identity better for faces)
No person in reference image → use seedance-2
Text-to-video (no reference image): Seedance 2 generates people fine. This rule ONLY applies when you --attach an image.

Kling model family:

kling_3_pro — Text-to-video and image-to-video, supports start/end images, custom elements (@Element1, @Element2), 3-15s duration, 16:9/9:16/1:1
kling_2_6_pro — General purpose, 5-10s, 16:9/9:16/1:1, text-to-video and image-to-video
kling_2_6_motion_control — Motion transfer: requires both a reference image AND a reference video, recreates the video's motion with the image's appearance
kling2_5-pro — Budget Kling option, 5-10s, supports first/last frame images

Other video models:

grok-imagine-video — xAI video generation, 5-15s, supports 7 aspect ratios including 4:3 and 3:2
topaz-video-upscale — Upscale video resolution (1-4x factor, supports fps conversion)
sync-lipsync-v2-pro — Sync lip movements to audio (requires video + audio input)

Seedance family (DEFAULT video model, watermarks automatically removed):

seedance-2 — Base Seedance 2.0 (T2V/I2V, 5-15s, high=standard/basic=fast)
seedance-2-omni — Multi-reference generation (images, audio refs)
seedance-2-video-edit — Edit existing video via text prompt

Video durations: Accepted --duration values vary by model. Check with wonda capabilities or wonda models info <slug>.

Audio

Music: suno-music (set --params '{"instrumental":true}' for no vocals)
Text-to-speech: elevenlabs-tts — always set voiceId in params. Default female voice: --params '{"voiceId":"21m00Tcm4TlvDq8ikWAM"}' (Rachel).
Transcription: elevenlabs-stt
Multi-speaker dialogue: elevenlabs-dialogue

Prompt writing rules

Follow this waterfall top-to-bottom. Use the FIRST matching rule and stop.

PASSTHROUGH — If the user says "use my exact prompt" / "verbatim" / "no enhancements" → copy their words exactly. Zero modifications.
IMAGE-TO-VIDEO — When a source image feeds into a video model, describe MOTION ONLY. The model can see the image. Do NOT describe the image content.
- Good: "gentle breathing motion, camera slowly pushes in, atmospheric lighting shifts"
- Bad: "Two cats on a lavender background breathing softly" (describes the image)
EMPTY PROMPT (from scratch) — Use the user's exact request as the prompt. Do NOT add style descriptors, lighting, composition, or mood.
- User says "create an image of a cat with sunglasses" → prompt: "create an image of a cat with sunglasses"
- Do NOT enhance to "A playful orange tabby wearing oversized reflective sunglasses, studio lighting, shallow depth of field"
NON-EMPTY PROMPT (adapting a template) — Keep the structure and style, only swap content to match the user's request. Keep prompts literal and constraint-heavy.

Aspect ratio rules

Three cases, no exceptions:

User specifies a ratio → use it: --aspect-ratio 16:9
User doesn't mention ratio → explicitly set --aspect-ratio 9:16 for social content (UGC, TikTok, Reels, Stories). Portrait is the default for any social/marketing video.
Editing existing media → use --aspect-ratio auto to preserve source dimensions

UGC and social content is ALWAYS portrait (9:16). If someone asks for a TikTok, Reel, Story, or UGC video, always use --aspect-ratio 9:16. Landscape is only for YouTube, presentations, or when explicitly requested.

Square (1:1) is supported by all Kling models and some image models — use for Instagram feed posts when requested.

Common chaining patterns

These patterns show how to compose multi-step pipelines by chaining CLI commands. Each step's output feeds into the next.

Animate an image to video

MEDIA=$(wonda media upload ./product.jpg --quiet)
# No person in image → Seedance 2
wonda generate video --model seedance-2 --prompt "camera slowly pushes in, product rotates" \
  --attach $MEDIA --duration 5 --params '{"quality":"high"}' --wait -o animated.mp4
# Person in image → Kling (ONLY when attaching a reference image with a person)
wonda generate video --model kling_3_pro --prompt "the person turns and smiles" \
  --attach $MEDIA --duration 5 --wait -o person.mp4

Replace audio on a video (TTS voiceover or music)

# Generate TTS
TTS_JOB=$(wonda audio speech --model elevenlabs-tts --prompt "The script" \
  --params '{"voiceId":"21m00Tcm4TlvDq8ikWAM"}' --wait --quiet)
TTS_URL=$(wonda jobs get inference $TTS_JOB --jq '.outputs[0].media.url')
wonda media download "$TTS_URL" -o /tmp/tts.mp3
TTS_MEDIA=$(wonda media upload /tmp/tts.mp3 --quiet)
# Mix onto video (mute original, full voiceover)
wonda edit video --operation editAudio --media $VID_MEDIA --audio-media $TTS_MEDIA \
  --params '{"videoVolume":0,"audioVolume":100}' --wait -o with-voice.mp4

Only use this when you need to REPLACE the video's audio. Sora generates native speech audio — don't replace it unless the user specifically wants a different voiceover.

Add static text overlay

Static overlays (meme text, "chat did i cook", etc.) use smaller font sizes than captions. They're ambient, not meant to dominate the frame.

wonda edit video --operation textOverlay --media $VID_MEDIA \
  --prompt-text "chat, did i cook" \
  --params '{"fontFamily":"TikTok Sans SemiCondensed","position":"top-center","sizePercent":66,"fontSizeScale":0.5,"strokeWidth":4.5,"paddingTop":10}' \
  --wait -o with-text.mp4

Font sizing guide:

Static overlays: sizePercent: 66, fontSizeScale: 0.5, strokeWidth: 4.5
Animated captions: sizePercent: 80, fontSizeScale: 0.8, strokeWidth: 2.5, highlightColor: rgb(252, 61, 61)
Font: TikTok Sans SemiCondensed for both

Add animated captions (word-by-word with timing)

The animatedCaptions operation extracts audio, transcribes, and renders animated word-by-word captions — all in one step.

wonda edit video --operation animatedCaptions --media $VIDEO_MEDIA \
  --params '{"fontFamily":"TikTok Sans SemiCondensed","position":"bottom-center","sizePercent":80,"strokeWidth":2.5,"fontSizeScale":0.8,"highlightColor":"rgb(252, 61, 61)"}' \
  --wait -o with-captions.mp4

For quick static captions (no timing, just text on screen), use textOverlay with --prompt-text:

wonda edit video --operation textOverlay --media $VIDEO_MEDIA \
  --prompt-text "Summer Sale - 50% Off" \
  --params '{"fontFamily":"TikTok Sans SemiCondensed","position":"bottom-center","sizePercent":80}' \
  --wait -o captioned.mp4

Add background music

MUSIC_JOB=$(wonda generate music --model suno-music \
  --prompt "upbeat lo-fi hip hop, warm vinyl crackle" --wait --quiet)
MUSIC_URL=$(wonda jobs get inference $MUSIC_JOB --jq '.outputs[0].media.url')
wonda media download "$MUSIC_URL" -o /tmp/music.mp3
MUSIC_MEDIA=$(wonda media upload /tmp/music.mp3 --quiet)
wonda edit video --operation editAudio --media $VID_MEDIA --audio-media $MUSIC_MEDIA \
  --params '{"videoVolume":100,"audioVolume":30}' --wait -o with-music.mp4

Merge multiple clips

wonda edit video --operation merge --media $CLIP1,$CLIP2,$CLIP3 --wait -o merged.mp4

Media order = playback order. Up to 5 clips.

Split scenes / keep a specific scene

Two modes — pick by intent:

# Keep a specific scene (split mode) — splits into scenes, auto-selects one
wonda edit video --operation splitScenes --media $VID_MEDIA \
  --params '{"mode":"split","threshold":0.5,"minClipDuration":2,"outputSelection":"last"}' \
  --wait -o last-scene.mp4
# outputSelection: "first", "last", or 1-indexed number (e.g. 2 for second scene)

# Remove a scene (omit mode) — removes one scene, merges the rest
wonda edit video --operation splitScenes --media $VID_MEDIA \
  --params '{"mode":"omit","threshold":0.5,"minClipDuration":2,"outputSelection":"first"}' \
  --wait -o without-first.mp4
# outputSelection: which scene to REMOVE

Use omit mode for "remove frozen first frame" (common with Sora videos). Use split mode for "keep just scene X".

Image editing (img2img)

MEDIA=$(wonda media upload ./photo.jpg --quiet)
wonda generate image --model nano-banana-2 --prompt "change the background to blue" \
  --attach $MEDIA --aspect-ratio auto --wait -o edited.png

When editing an existing image, always use --aspect-ratio auto to preserve dimensions. The prompt should describe ONLY the edit, not the full image.

Background removal

# Image → use birefnet-bg-removal
wonda generate image --model birefnet-bg-removal --attach $IMAGE_MEDIA --wait -o no-bg.png
# Video → use bria-video-background-removal
wonda generate video --model bria-video-background-removal --attach $VIDEO_MEDIA --wait -o no-bg.mp4

CRITICAL: Image and video background removal are different models. Never swap them.

Lip sync

wonda generate video --model sync-lipsync-v2-pro --attach $VIDEO_MEDIA,$AUDIO_MEDIA --wait -o synced.mp4

Video upscale

wonda generate video --model topaz-video-upscale --attach $VIDEO_MEDIA \
  --params '{"upscaleFactor":2}' --wait -o upscaled.mp4

Editor operations reference

Operation	Inputs	Key Params
`animatedCaptions`	video_0	fontFamily, position, sizePercent, fontSizeScale, strokeWidth, highlightColor
`textOverlay`	video_0 + prompt	fontFamily, position, sizePercent, fontSizeScale, strokeWidth
`editAudio`	video_0 + audio_0	videoVolume (0-100), audioVolume (0-100)
`merge`	video_0..video_4	Handle order = playback order
`overlay`	video_0 (bg) + video_1 (fg)	position, resizePercent
`splitScreen`	video_0 + video_1	targetAspectRatio (16:9 or 9:16)
`trim`	video_0	trimStartMs, trimEndMs (milliseconds)
`splitScenes`	video_0	mode (split/omit), threshold, outputSelection
`speed`	video_0	speed (multiplier: 2 = 2x faster)
`extractAudio`	video_0	Extracts audio track
`reverseVideo`	video_0	Plays backwards
`skipSilence`	video_0	maxSilenceDuration (default 0.3), padding (default 0.03)
`imageCrop`	video_0	aspectRatio

Valid textOverlay fonts: Inter, Montserrat, Bebas Neue, Oswald, TikTok Sans, Poppins, Raleway, Anton, Comic Cat, Gavency Valid positions: top-left, top-center, top-right, center-left, center, center-right, bottom-left, bottom-center, bottom-right

Marketing & distribution

# Connected social accounts
wonda accounts instagram
wonda accounts tiktok

# Analytics
wonda analytics instagram
wonda analytics tiktok
wonda analytics meta-ads

# Scrape competitors
wonda scrape social --handle @nike --platform instagram --wait
wonda scrape social-status <taskId>                   # Get results of a social scrape
wonda scrape ads --query "sneakers" --country US --wait
wonda scrape ads --query "sneakers" --country US --search-type keyword \
  --active-status active --sort-by impressions_desc --period last30d \
  --media-type video --max-results 50 --wait
wonda scrape ads-status <taskId>                      # Get results of an ads search

# Download a single reel or TikTok video
SCRAPE=$(wonda scrape video --url "https://www.instagram.com/reel/ABC123/" --wait --quiet)
# → returns scrape result with mediaId in the media array

# Publish
wonda publish instagram --media <id> --account <accountId> --caption "New drop"
wonda publish instagram --media <id> --account <accountId> --caption "..." --alt-text "..." --product IMAGE --share-to-feed
wonda publish instagram-carousel --media <id1>,<id2>,<id3> --account <accountId> --caption "..."
wonda publish tiktok --media <id> --account <accountId> --caption "New drop"
wonda publish tiktok --media <id> --account <accountId> --caption "..." --privacy-level PUBLIC_TO_EVERYONE --aigc
wonda publish tiktok-carousel --media <id1>,<id2> --account <accountId> --caption "..." --cover-index 0

# History
wonda publish history instagram --limit 10
wonda publish history tiktok --limit 10

# Browse media library
wonda media list --kind image --limit 20
wonda media info <mediaId>

X/Twitter

Cookie-based auth against X's internal GraphQL API. Supports reads, writes, and social graph.

# Auth setup (get cookies from DevTools → Application → Cookies → x.com)
wonda x auth set --auth-token <auth_token> --ct0 <ct0>
wonda x auth check

# Read
wonda x search "sneakers" -n 20                     # Search tweets
wonda x user @nike                                   # User profile
wonda x user-tweets @nike -n 20                      # User's recent tweets
wonda x read <tweet-id-or-url>                       # Single tweet
wonda x replies <tweet-id-or-url>                    # Replies to a tweet
wonda x thread <tweet-id-or-url>                     # Full thread (author's self-replies)
wonda x home                                         # Home timeline (--following for Following tab)
wonda x bookmarks                                    # Your bookmarks
wonda x likes                                        # Your liked tweets
wonda x following @handle                            # Who a user follows
wonda x followers @handle                            # A user's followers
wonda x lists @handle                                # User's lists (--member-of for memberships)
wonda x list-timeline <list-id-or-url>               # Tweets from a list
wonda x news --tab trending                          # Trending topics (tabs: for_you, trending, news, sports, entertainment)

# Write (uses internal API — use on secondary accounts)
wonda x tweet "Hello world"                          # Post a tweet
wonda x reply <tweet-id-or-url> "Great point"        # Reply
wonda x like <tweet-id-or-url>                       # Like
wonda x unlike <tweet-id-or-url>                     # Unlike
wonda x retweet <tweet-id-or-url>                    # Retweet
wonda x unretweet <tweet-id-or-url>                  # Unretweet
wonda x follow @handle                               # Follow
wonda x unfollow @handle                             # Unfollow

# Maintenance
wonda x refresh-ids                                  # Refresh cached GraphQL query IDs from X's JS bundles

All paginated commands support: -n <count>, --cursor, --all, --max-pages, --delay <ms>.

Cookie-based auth against LinkedIn's Voyager API. Supports search, profiles, companies, messaging, and engagement.

# Auth setup (get cookies from DevTools → Application → Cookies → linkedin.com)
wonda linkedin auth set --li-at-value <li_at> --jsessionid-value <JSESSIONID>
wonda linkedin auth check

# Read
wonda linkedin me                                    # Your identity
wonda linkedin search "data engineer" --type PEOPLE  # Search (types: PEOPLE, COMPANIES, ALL)
wonda linkedin profile johndoe                       # View profile (vanity name or URL)
wonda linkedin company google                        # View company page
wonda linkedin conversations                         # List message threads
wonda linkedin messages <conversation-urn>           # Read messages in a thread
wonda linkedin notifications -n 20                   # Recent notifications
wonda linkedin connections                           # Your connections
wonda linkedin reactions <activity-id>               # Reactions with reactor profiles + type

# Write
wonda linkedin connect <vanity-name> --message "Hey!" # Send connection request with note
wonda linkedin connect <vanity-name> -m "Hey!" --browser  # Full stealth via real browser (Patchright)
wonda linkedin like <activity-urn>                   # Like a post
wonda linkedin unlike <activity-urn>                 # Remove a like
wonda linkedin send-message <conversation-urn> "Hi!" # Send a message
wonda linkedin post "Excited to announce..."         # Create a post
wonda linkedin delete-post <activity-id>             # Delete a post

Paginated commands support: -n <count>, --start, --all, --max-pages, --delay <ms>.

Connection request modes: The connect command has two modes:

Default (API): Voyager REST API with fingerprint mitigations (profile visit → drawer warm-up → connect). Fast (~3s), supports notes via customMessage.
--browser (Patchright): Launches a real undetected Chrome browser, navigates to the profile, and clicks through the UI. Zero fingerprinting risk. Slower (~10s) but fully safe. Use this as a fallback if you want full protection. Requires: npm i patchright && npx patchright install chromium.

Cookie-based auth (optional — many reads work unauthenticated). Supports search, feeds, users, posts, trending, and chat/DMs.

# Auth setup (get cookie from DevTools → Application → Cookies → reddit.com → reddit_session)
wonda reddit auth set --session-value <jwt>
wonda reddit auth check

# Read (works without auth)
wonda reddit search "AI video" --sort top --time week   # Search posts (sort: relevance, hot, top, new, comments)
wonda reddit subreddit marketing                        # Subreddit info
wonda reddit feed marketing --sort hot                  # Subreddit posts (sort: hot, new, top, rising)
wonda reddit user spez                                  # User profile
wonda reddit user-posts spez --sort top                 # User's posts
wonda reddit user-comments spez                         # User's comments
wonda reddit post <id-or-url> -n 50                     # Post with comments
wonda reddit trending --sort hot                        # Popular/trending posts

# Read (requires auth)
wonda reddit home --sort best                           # Your home feed

# Write (requires auth)
wonda reddit submit marketing --title "Great tool" --text "Check this out..."  # Self post
wonda reddit submit marketing --title "Great tool" --url "https://..."         # Link post
wonda reddit comment <parent-fullname> --text "Nice post!"                     # Reply
wonda reddit vote <fullname> --up                       # Upvote (--down, --unvote)
wonda reddit subscribe marketing                        # Subscribe (--unsub to unsubscribe)
wonda reddit save <fullname>                            # Save a post or comment
wonda reddit unsave <fullname>                          # Unsave
wonda reddit delete <fullname>                          # Delete your post or comment

Paginated commands support: -n <count>, --after <cursor>, --all, --max-pages, --delay <ms>.

Reddit chat / DMs

Direct messaging via the Matrix protocol. Requires a separate chat token (different from the session cookie).

# Auth setup (get token from DevTools → Console → JSON.parse(localStorage.getItem('chat:access-token')).token)
wonda reddit chat auth-set --token <matrix-token>

# Read
wonda reddit chat inbox                                  # List DM conversations with latest messages
wonda reddit chat messages <room-id> -n 50               # Fetch messages from a room
wonda reddit chat all-rooms                              # List ALL joined rooms (not limited to sync window)

# Write
wonda reddit chat send <room-id> --text "Hey!"           # Send a DM (mimics browser typing behavior)

# Management
wonda reddit chat accept-all                             # Accept all pending chat requests
wonda reddit chat refresh                                # Force-refresh the Matrix chat token

Important: The chat token expires every ~24h. The CLI auto-refreshes on use, but if it expires fully, re-run auth-set. Rate limit DM sends to 15-20/day with varied text to avoid detection. The send command includes a typing delay (1-5s) to mimic human behavior.

Workflow & discovery

Video analysis

Analyze a video to extract a composite frame grid (visual) and audio transcript (text). Useful for understanding video content before creating variations. Requires a full account (not anonymous) and costs credits based on video duration (ElevenLabs STT pricing).

If the video was just uploaded and is still normalizing, the CLI auto-retries until the media is ready.

# Analyze a video — returns composite grid image + transcript
ANALYSIS_JOB=$(wonda analyze video --media $VIDEO_MEDIA --wait --quiet)

# The job output contains:
# - compositeGrid: image showing 24 evenly-spaced frames
# - transcript: full text of any speech
# - wordTimestamps: word-level timing [{word, start, end}]
# - videoMetadata: {width, height, durationMs, fps, aspectRatio}

# Download the composite grid for visual inspection
wonda analyze video --media $VIDEO_MEDIA --wait -o /tmp/grid.jpg

# Get just the transcript
wonda analyze video --media $VIDEO_MEDIA --wait --jq '.outputs[] | select(.outputKey=="transcript") | .outputValue'

Error handling: 402 = insufficient credits (use wonda topup), 409 = media still processing (CLI auto-retries).

Chat (AI assistant)

Interactive chat sessions for content creation — the AI handles generation, editing, and iteration.

wonda chat create --title "Product launch"            # New session
wonda chat list                                       # List sessions (--limit, --offset)
wonda chat messages <chatId>                          # Get messages
wonda chat send <chatId> --message "Create a UGC reaction video"
wonda chat send <chatId> --message "Edit it" --media <id>
wonda chat send <chatId> --message "..." --aspect-ratio 9:16 --quality-tier max
wonda chat send <chatId> --message "..." --style <styleId>
wonda chat send <chatId> --message "..." --passthrough-prompt  # Use exact prompt, no AI enhancement

Jobs & runs

wonda jobs get inference <id>                         # Inference job status
wonda jobs get editor <id>                            # Editor job status
wonda jobs get publish <id>                           # Publish job status
wonda jobs wait inference <id> --timeout 20m          # Wait for completion
wonda run get <runId>                                 # Run status
wonda run wait <runId> --timeout 30m                  # Wait for run completion

Discovery

wonda models list                                     # All available models
wonda models info <slug>                              # Model details and params
wonda operations list                                 # All editor operations
wonda operations info <operation>                     # Operation details
wonda capabilities                                    # Full platform capabilities
wonda pricing list                                    # Pricing for all models
wonda pricing estimate --model seedance-2 --prompt "..." # Cost estimate
wonda style list                                      # Available visual styles
wonda topup --amount 20                               # Top up credits ($5 minimum, opens Stripe)

Editing audio & images

# Edit audio
wonda edit audio --operation <op> --media <id> --wait -o out.mp3

# Edit image (crop, etc.)
wonda edit image --operation imageCrop --media <id> \
  --params '{"aspectRatio":"9:16"}' --wait -o cropped.png

Alignment (timestamp extraction)

wonda alignment extract-timestamps --model <model> --attach <mediaId> --wait

Quality tiers

Tier	Image Model	Resolution	Video Model	When
Standard	`nano-banana-2`	1K	`seedance-2` (high, 5s)	Default. High quality, good for iteration.
High	`nano-banana-pro`	1K	`seedance-2` (high, 15s)	Longer duration. Also offer `sora2pro` for different style.
Max	`nano-banana-pro`	4K	`seedance-2` (high, 15s)	Best possible. Also offer `sora2pro` (1080p). Use `--params '{"resolution":"4K"}'` for images.

Troubleshooting

Symptom	Likely Cause	Fix
Sora rejected image	Person in image	Switch to `kling_3_pro`
Video adds objects not in source	Motion prompt describes elements not in image	Simplify to camera movement and atmosphere only
Text unreadable in video	AI tried to render text in generation	Remove text from video prompt, use textOverlay instead
Hands look wrong	Complex hand actions in prompt	Simplify to passive positions or frame to exclude
Style inconsistent across series	No shared anchor	Use same reference image via `--attach`
Changes to step A not in step B	Stale render	Re-run all downstream steps

Timing expectations

Image: 30s - 2min
Video (Sora): 2 - 5min
Video (Sora Pro): 5 - 10min
Video (Veo 3.1): 1 - 3min
Video (Kling): 3 - 8min
Video (Grok): 2 - 5min
Music (Suno): 1 - 3min
TTS: 10 - 30s
Editor operations: 30s - 2min
Lip sync: 1 - 3min
Video upscale: 2 - 5min

Error recovery

Unknown model: wonda models list
No API key: export WONDERCAT_API_KEY=sk_... or wonda config set api-key sk_...
Job failed: wonda jobs get inference <id> for error details
Bad params: wonda models info <slug> for valid params
Timeout: wonda jobs wait inference <id> --timeout 20m
Insufficient credits (402): wonda topup --amount 10 to add credits via Stripe

wonda-cli

Installation

Summary

SKILL.MD