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pixcliPIX CLI 图像

Agent Skill

pixcli 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

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来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:pixcli(PIX CLI 图像)
来源仓库:https://github.com/cohnen/pixcli
安装命令:
openclaw skills install pixcli
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install pixcli

简介

pixcli 提供图像、视频、音频的一站式创意生成工具链。

  • 通过 Remotion 组装多媒体内容,支持自动化输出。
  • 适合开发者集成到 CI/CD 流程中生成动态素材。
  • 需配置各生成服务的 API 密钥,注意成本与配额管理。
  • 输出分辨率与时长受平台限制,需提前查阅文档。pixcli 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
pixcli
version
2.3.3
description
Creative toolkit for AI agents — generate images, videos, voiceover,
install
npx --yes pixcli --version
env
allowed-tools
argument-hint
<command> [options]
metadata
openclaw
emoji
🎨
primaryEnv
PIXCLI_API_KEY
primaryCredential
PIXCLI_API_KEY
providerEnv
requires
env
anyBins
homepage
https://pixcli.shellbot.sh
tags

pixcli

Creative toolkit for AI agents. Generate images, videos, voiceover, music, and sound effects — then assemble polished output via Remotion.

Philosophy: The CLI handles complexity (task classification, prompt enrichment, model selection). You just describe what you want.

Requirements

RequirementValueNotes
Primary credentialPIXCLI_API_KEYRequired. Covers all capabilities (image, video, voice, music, SFX). Obtain at https://pixcli.shellbot.sh
RuntimeNode.js ≥ 18node and npx must be on PATH
CLI packagepixcli (npm)Installed at runtime via npx --yes pixcli. Published package: npmjs.com/package/pixcli. Source: github.com/shellbot-ai/pixcli
Remotion (optional)remotion (npm)Only needed for video assembly from bundled templates. Installed via npm install inside template dirs — the templates' package.json declares all deps (remotion, react, react-dom, @remotion/*). No arbitrary package installs.

What runs at runtime and why

  • npx --yes pixcli <command>: Downloads + caches the pixcli CLI from npm on first invocation, then runs it. All subsequent calls use the cached binary. The --yes flag is required in agent contexts to avoid interactive prompts. pixcli is an HTTP client — it sends prompts to the pixcli API (https://pixcli.shellbot.sh/api/v1/*), polls for completion, and downloads the resulting files. It does not execute arbitrary code.
  • npx --yes remotion <command>: Same pattern for the Remotion video renderer. Only used when assembling final videos from generated assets using the bundled templates.
  • npm install (no arguments): Runs inside a copied template directory to install the dependencies declared in that template's package.json. The agent never passes package names to npm install — only hydrates declared deps.
  • ffmpeg / ffprobe: Local-only media operations (trim, merge, scale, get info). No network access.

What does NOT run

  • No bare npx <arbitrary-package> — only npx pixcli and npx remotion
  • No npm install <package-name> — only bare npm install
  • No node <script> — the agent never executes arbitrary JavaScript
  • No npm publish, npm config, or any npm command beyond install and run <script>

Setup

1. Use the CLI

AI agents should always run pixcli via npx --yes pixcli — it's in the scoped allowlist and requires no global install:

npx --yes pixcli image "a red fox in a forest"

Humans who prefer a global install for interactive terminals can optionally run npm install -g pixcli once outside the agent — the agent doesn't need (or have permission for) that command.

Important for AI agents: npx prompts for confirmation before installing packages. The --yes flag auto-accepts. Without it, the command will hang waiting for input. Always use npx --yes pixcli in non-interactive contexts.
Always use --json: All commands support --json which suppresses spinners and human-readable output, returning only structured JSON to stdout. This minimizes token consumption and gives you machine-parseable results. Alternatively, set PIXCLI_JSON=1 once to enable JSON mode for all commands without passing the flag each time.

2. Authenticate

export PIXCLI_API_KEY="px_live_..."

Get your API key at https://pixcli.shellbot.sh. The key covers all capabilities: images, video, voice, music, and sound effects.

3. Verify

pixcli --version
pixcli image "test: a simple blue circle on white background" -o test.png

Agent execution: long-running jobs

Video generation can take 1–10+ minutes (Seedance, Kling, Veo). This matters for agents because:

  • The CLI blocks synchronously while polling for completion
  • Agent tool-call timeouts (typically 2–5 minutes) can kill the process before the video is ready
  • Wasted tokens: spinner updates every 2 seconds don't print in --json mode, but the blocking wait wastes wall-clock budget

The recommended pattern: submit → check (non-blocking)

All generation commands support --no-wait which returns immediately after submission with the job_id. The agent can then check status as often as needed with the non-blocking pixcli job command.

# 1. ALWAYS set these at the start of your session
export PIXCLI_JSON=1       # suppress spinners, return only JSON
export PIXCLI_API_KEY="px_live_..."

# 2. Submit a video job (returns in ~3-10s instead of 5-10 min)
npx --yes pixcli video "A cinematic product orbit, soft lighting" \
  --from product.png --no-wait
# Output: {"job_id":"abc123", "status":"submitted", "check_command":"pixcli job abc123 --json", ...}

# 3. Do other work, then check status (instant, non-blocking)
npx --yes pixcli job abc123
# Output: {"status":"processing", "current_step":1, "total_steps":2}

# 4. When ready, wait + download
npx --yes pixcli job abc123 --wait -o output.mp4
# Output: {"status":"completed", "files":[...], "cost":150000}

When to use --no-wait vs default (blocking)

ScenarioUseWhy
Image generation (~10-30s)Default (no --no-wait)Fast enough that blocking is fine
Video generation (1-10min)--no-wait + poll laterAvoid tool-call timeout, do parallel work
Music/voice/sfx (~10-60s)Default usually fineShort. Use --no-wait if batching many
Parallel pipeline (image → video → extend)--no-wait for each video stepSubmit all, poll all, download all
Quick iteration/draftDefault with -q draftDraft quality is 2-5x faster

Token consumption

ModeTokens returnedBlocking time
No --json500-1000+ (spinner updates, human text)Full wait
--json (blocking)50-100 (clean JSON only)Full wait
--json --no-wait50-80 (submit response only)3-10s (submission only)
pixcli job <id> --json30-60 (status check)Instant

Always set PIXCLI_JSON=1 at the start of your agent session. This single environment variable suppresses spinners, human-readable text, and progress updates for ALL pixcli commands — reducing token cost by ~90%.

Timeout recovery

If a blocking call times out (either the agent's tool timeout or the CLI's internal 10-minute limit), the job is still running on the server. The JSON error output includes recovery commands:

{
  "job_id": "abc123",
  "status": "timeout",
  "error": "CLI poll timeout — job still running on server",
  "check_command": "pixcli job abc123 --json",
  "wait_command": "pixcli job abc123 --wait --json"
}

Parse check_command and execute it to recover. The server never loses a job — it runs to completion regardless of whether the CLI is connected.

Parallel video pipeline example

Generate 3 video clips simultaneously without blocking between them:

# Submit all three (each returns in ~5s)
npx --yes pixcli video "Product hero orbit" --from hero.png --no-wait -o hero.mp4
npx --yes pixcli video "Lifestyle scene, natural light" --from lifestyle.png --no-wait -o lifestyle.mp4
npx --yes pixcli video "App demo, smooth scroll" --from demo.png --no-wait -o demo.mp4

# Parse job IDs from each output
# Then poll all three:
npx --yes pixcli job $JOB_1
npx --yes pixcli job $JOB_2
npx --yes pixcli job $JOB_3

# When all are "completed", download:
npx --yes pixcli job $JOB_1 --wait -o hero.mp4
npx --yes pixcli job $JOB_2 --wait -o lifestyle.mp4
npx --yes pixcli job $JOB_3 --wait -o demo.mp4

This produces 3 videos in the time it takes to render 1 — ~5-8 minutes total instead of ~15-24 minutes sequential.

Commands

pixcli image <prompt> — Generate images

pixcli image "Studio product shot of wireless earbuds, soft lighting, white background" --json
OptionDefaultDescription
-r, --ratio <ratio>1:1Aspect ratio: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3
-q, --quality <level>standardQuality: draft, standard, high
-t, --transparentfalseTransparent background (PNG)
-n, --count <number>1Number of images (1-4)
--from <path-or-url>Source image for image-to-image or reference generation (repeatable, up to 5: --from a.png --from b.png)
--searchfalseEnable Google Search grounding for real-world accuracy (logos, brands, current events). Only with Nano Banana models
-m, --model <model>autoSpecific model ID
-o, --output <path>autoOutput file or directory
--jsonfalseMachine-readable JSON output
--no-waitfalseSubmit and return immediately (use pixcli job <id> to check later)
--no-enrichSkip prompt enrichment

Models: flux-pro, flux-dev, seedream-v5, nano-banana-pro (Google Direct), nano-banana-2 (Google Direct), nano-banana-pro-fal / nano-banana-2-fal (same models via fal), nano-banana-pro-or / nano-banana-2-or (via OpenRouter — requires x-openrouter-key), imagen-4, imagen-4-fast, gpt-image-1 (OpenRouter). Use pixcli models --type image for the live list.

pixcli edit <prompt> — Edit images

pixcli edit "Remove the background" -i product.jpg -o product-nobg.png --json
OptionDefaultDescription
-i, --image <path-or-url>requiredSource image (repeatable: -i a.png -i b.png)
-q, --quality <level>standardQuality: draft, standard, high
-m, --model <model>autoSpecific model ID
-o, --output <path>autoOutput file or directory
--jsonfalseMachine-readable JSON output
--no-waitfalseSubmit and return immediately
--no-enrichSkip prompt enrichment

Models: seedream-v5-edit, phota-enhance, rembg, recraft-upscale, aura-sr

pixcli video <prompt> — Generate video

# Image-to-video (recommended: generate still first, then animate)
pixcli video "Slow camera orbit around the product" --from product.png -o reveal.mp4 --json

# Text-to-video (generates image automatically, then animates)
pixcli video "A cat walking through a garden at sunset" -o cat.mp4 --json

# Extend an existing video
pixcli video "The cat jumps over a fence" --from cat.mp4 --extend -o cat-extended.mp4 --json
OptionDefaultDescription
--from <path-or-url>Source image (I2V) or video (extend). Repeatable for multi-reference models (Seedance reference / Omni): --from a.png --from b.png. Single-reference models receive the first one and ignore the rest.
--to <path-or-url>End image — video transitions from --from to --to (Kling/PixVerse transition models)
--negative <prompt>Negative prompt describing what to avoid
--audiofalseEnable native audio generation (BGM, SFX, dialogue) on supported models
-d, --duration <seconds>5Duration: 1-15 seconds
-r, --ratio <ratio>16:9Aspect ratio: 16:9, 9:16, 1:1, 4:3, 3:4
-q, --quality <level>standardQuality: draft, standard, high
-m, --model <model>autoSpecific model ID
-o, --output <path>autoOutput file (.mp4)
--jsonfalseMachine-readable JSON output
--no-waitfalseSubmit and return immediately (recommended for video — avoids 10min blocking)
--extendfalseExtend the source video instead of I2V
--storyboardfalseGenerate a still frame with Nano Banana first, then animate it. Opt-in for tight visual control over the opening frame (brand shots, hero compositions). Adds ~5s + one extra credit. Default text-to-video is single-step T2V.

Models — fal backend: veo31-lite-i2v (default I2V, Veo 3.1 Lite), veo31-lite-t2v (default T2V, Veo 3.1 Fast), veo31-lite-transition (start→end frame), kling-o3-pro-i2v (cinematic, best quality), kling-o3-pro-t2v, kling-o3-standard-i2v, kling-o3-standard-t2v, kling-v3-pro-i2v, veo3-i2v (premium, native audio + lipsync), veo3-t2v, pixverse-v6-i2v / -t2v / -transition / -extend (stylized, audio, multi-clip), ltx-t2v (budget T2V), ltx-extend-video (budget extension, native audio), wan-v2-i2v (cheap motion), minimax-i2v (fast, avoid for faces), grok-extend-video

Models — muapi backend (Seedance 2 family): seedance-2-t2v / -fast, seedance-2-i2v / -fast, seedance-2-omni / -fast (multimodal: up to 9 image refs + 3 audio refs via @image1..@image9 / @audio1..@audio3), seedance-2-first-last-frame / -fast. VIP / 2K tier (priority routing, 2K resolution, ~50% premium): seedance-2-vip-t2v / -fast, seedance-2-vip-i2v / -fast, seedance-2-vip-first-last-frame / -fast, seedance-2-vip-omni / -fast. Routing is automatic: mention "seedance" / "bytedance" / "doubao" in the prompt, use the @image1/@audio1/@character:id grammar, or pass --quality draft (routes to -fast). See references/seedance-playbook.md for the full prompt playbook.

Opinionated approach: Always generate a still first with pixcli image, review it, then animate with pixcli video --from. This gives you control over the starting frame.

Logo animations (brand reveals / intros / bumpers): pass --from logo.png and mention both "logo"/"brand" AND an animation intent ("reveal", "intro", "bumper", "animate") in the prompt — the API auto-detects this and swaps in a specialist Motion Logo Director that emits a 6-stage timeline with sound design, music, and optional voiceover. See references/seedance-logo-motion.md for the full playbook.

Video prompting — the core formula

Every video prompt should follow this structure:

Subject → Action → Environment → Camera → Style → Constraints

Target 60–100 words. Shorter = vague. Longer = conflicting instructions that degrade coherence.

#ElementRuleGood example
1SubjectDescribe visual features explicitly*A woman in her 30s, short black hair, red wool coat*
2ActionConcrete verbs + quantify intensity*walks briskly* — not *walks*
3EnvironmentLighting + atmosphere + time of day*rain-slicked Tokyo street at night, neon reflections on wet pavement*
4CameraOne instruction only — never chain moves*slow push-in* — never *push then pan then orbit*
5StyleSpecific aesthetics only*cinematic, shallow depth of field, film grain*
6ConstraintsSay what you want, not what you don't*smooth motion, stable framing*

The 10 rules that always apply:

  1. One camera move per shot. Always. Combining causes jitter.
  2. Separate subject motion from camera motion. ✅ "The dancer spins. Camera holds fixed." ❌ "Spinning camera around a dancing person."
  3. For I2V, only describe what changes — the image carries composition and identity. Add Preserve composition and colors.
  4. Use physical verbsmelt, fracture, snap open > becomes / transforms.
  5. Lighting is your biggest quality lever — always name the light (golden hour, rim light, natural window light, neon, soft diffused, dramatic stage lighting).
  6. Write on a timeline for 10s+ clips — break into 3–5 time-coded beats: [0s–3s]:, [3s–7s]:, etc.
  7. Every asset gets a job — if a file has no role, it's noise. Be explicit about what each --from / --to does.
  8. Put negatives in --negative, not in the main prompt.
  9. For video extend, -d is the NEW duration, not the total.
  10. Draft before hero — always iterate with -q draft (auto-routes to 480p Seedance or ltx-t2v) before burning credits on a full render.

Read references/seedance-playbook.md for the complete playbook — camera movement catalog, lighting table, timeline prompting templates, multimodal role assignment, and 10+ ready-to-paste command recipes.

pixcli voice <text> — Text-to-speech

pixcli voice "Welcome to the future of productivity." -o voiceover.mp3 --json
pixcli voice "Bienvenidos al futuro." --voice Sarah --language es -o vo-spanish.mp3 --json
OptionDefaultDescription
--voice <name>RachelVoice preset: Rachel, Aria, Roger, Sarah, Laura, Charlie, George, Callum, River, Liam, Charlotte, Alice, Matilda, Will, Jessica, Eric, Chris, Brian, Daniel, Lily, Bill
--language <code>autoISO 639-1 language code (en, es, fr, de, ja, etc.)
-o, --output <path>autoOutput file (.mp3)
--jsonfalseMachine-readable JSON output

pixcli music <prompt> — Generate music

pixcli music "Subtle ambient electronic, minimal beats, corporate technology feel" -d 45 -o bg-music.mp3 --json
OptionDefaultDescription
-d, --duration <seconds>30Duration: 3-120 seconds
-o, --output <path>autoOutput file (.mp3)
--jsonfalseMachine-readable JSON output

pixcli sfx <prompt> — Generate sound effects

pixcli sfx "Smooth cinematic whoosh transition" -d 1.5 -o whoosh.mp3 --json
pixcli sfx "Soft digital click, subtle UI interaction" -d 0.5 -o click.mp3 --json
OptionDefaultDescription
-d, --duration <seconds>5Duration: 0.5-22 seconds
-o, --output <path>autoOutput file (.mp3)
--jsonfalseMachine-readable JSON output

pixcli models — List available models

# Every model, grouped by type
pixcli models --json

# Only Seedance
pixcli models --search seedance --json

# Only video models routed through muapi
pixcli models --type video --backend muapi --json
OptionDescription
-t, --type <kind>image \video \audio
-b, --backend <name>fal \muapi \google-direct \openrouter
-p, --provider <name>Upstream provider: fal \google \bytedance \elevenlabs \openai \xai \muapi
-c, --capability <cap>text-to-video \image-to-video \edit \upscale \bg-removal \lipsync \music \sound-effects \text-to-speech \video-extend \enhance
-s, --search <term>Substring match on id, name, or strengths
--jsonMachine-readable JSON output

Backs onto GET /api/v1/models?type=...&backend=...&search=.... Use this to discover model ids before passing them to -m on any generation command.

pixcli job <id> — Check job status and download results

# Check status of a job
pixcli job abc123 --json

# Wait for completion and download
pixcli job abc123 --wait -o output.mp4 --json
OptionDefaultDescription
--waitfalseWait for the job to complete before returning
-o, --output <path>autoOutput file path for downloaded result
--jsonfalseMachine-readable JSON output

Use case: Recover timed-out jobs. Video generation can take 5-8 minutes — if the CLI times out, it prints the job ID and a recovery command. Run pixcli job <id> --wait to pick up where you left off.

Global options

OptionDescription
--key <api_key>Override PIXCLI_API_KEY env var
--api-url <url>Override API URL (default: https://pixcli.shellbot.sh)
--jsonMachine-readable JSON output (or set PIXCLI_JSON=1 once for all commands)
--no-waitSubmit the job and return immediately with the job_id — don't poll for completion. Available on: image, edit, video, voice, music, sfx
--versionShow CLI version
--helpShow help

Read references/command-reference.md for the full parameter reference.


Opinionated creative workflow

The full production pipeline

  1. Generate scene stills with pixcli image — use -n 4 for variations, pick the best. Use --search for real-world accuracy (correct logos, current brands). Use --from with multiple images to blend references
  2. Edit heroes with pixcli edit — upscale, remove backgrounds, enhance
  3. Animate 2-3 hero stills with pixcli video --from — cinematic motion for key moments
  4. Generate voiceover with pixcli voice — one file per scene
  5. Generate background music with pixcli music — one track for the full composition
  6. Generate sound effects with pixcli sfx — transition whooshes, UI sounds (use sparingly)
  7. Assemble everything in Remotion — timing, text, transitions, branding, audio mix
  8. Render final video with npx remotion render

When to use AI video vs Remotion

Use pixcli video for:

  • Hero moments: product reveals, cinematic openings, emotional beats (3-8s clips)
  • Organic motion that's hard to code: water, fire, fabric, hair, camera orbits
  • Image-to-video: animate a still into a living scene
  • Transition inserts: short clips between Remotion scenes

Use Remotion for:

  • Text animations, captions, kinetic typography
  • Precise timing synced to voiceover
  • Brand overlays, logos, consistent color grading
  • Data visualizations, metric counters, charts
  • Scene transitions (cuts, wipes, dissolves — deterministic)
  • Final assembly: compositing AI video clips + stills + audio + text

The ideal combined workflow:

  1. Generate scene stills with pixcli image (consistency via shared style prompts)
  2. Animate 2-3 hero stills with pixcli video --from (cinematic motion)
  3. Generate voiceover + music + SFX
  4. Assemble everything in Remotion (timing, text, transitions, audio mix)

Audio layering strategy

  • Voiceover at volume 1.0 — clear, intelligible, primary channel
  • Music at 0.15-0.25 — duck under voiceover, never compete
  • SFX sparse and purposeful — only when they reinforce movement
  • Avoid dense music during problem framing

Quality tiers

  • draft — Fast iteration, concepting, throwaway tests
  • standard — Good for most production work (default)
  • high — Hero shots, final delivery assets

ffmpeg local editing

Use ffmpeg for quick video/audio edits without a full Remotion project. These run locally — no API calls needed.

Video operations

# Trim video (extract 5 seconds starting at 2s)
ffmpeg -i input.mp4 -ss 00:00:02 -to 00:00:07 -c copy trimmed.mp4

# Split video at a timestamp
ffmpeg -i input.mp4 -t 5 -c copy first-half.mp4
ffmpeg -i input.mp4 -ss 5 -c copy second-half.mp4

# Merge videos (create filelist.txt first)
echo "file 'clip1.mp4'" > filelist.txt
echo "file 'clip2.mp4'" >> filelist.txt
ffmpeg -f concat -safe 0 -i filelist.txt -c copy merged.mp4

# Scale video to 1080p
ffmpeg -i input.mp4 -vf "scale=1920:1080" -c:a copy scaled.mp4

Audio operations

# Add audio track to video
ffmpeg -i video.mp4 -i music.mp3 -c:v copy -c:a aac -shortest output.mp4

# Replace audio track
ffmpeg -i video.mp4 -i new-audio.mp3 -c:v copy -c:a aac -map 0:v -map 1:a output.mp4

# Mix voiceover + music (music ducked to 20%)
ffmpeg -i voiceover.mp3 -i music.mp3 -filter_complex "[1:a]volume=0.2[music];[0:a][music]amix=inputs=2:duration=longest" mixed.mp3

# Extract audio from video
ffmpeg -i video.mp4 -vn -acodec copy audio.aac

# Get media info
ffprobe -v quiet -print_format json -show_streams input.mp4

Remotion video production

Remotion is the source of truth for timing, layout, animation, and render. Use pixcli to generate the visual and audio assets, then assemble everything in Remotion.

Bootstrapping a Remotion project

cp -r assets/templates/cinematic-product-16x9 ./my-video
cd ./my-video && npm install
npx remotion studio     # Preview
npx remotion render src/index.ts MainComposition out/video.mp4  # Render

Templates

TemplateBest forAspect
aida-classic-16x9Product marketing (AIDA framework)1920x1080
cinematic-product-16x9Premium product launches1920x1080
saas-metrics-16x9B2B SaaS, dashboard metrics1920x1080
mobile-ugc-9x16Reels, TikTok, Stories1080x1920
blank-16x9Custom projects1920x1080
explainer-16x9How-it-works, tutorials1920x1080

Integrating AI video clips in Remotion

Use OffthreadVideo for AI-generated clips inside Remotion compositions:

import { OffthreadVideo, Sequence, Audio, Img, staticFile } from "remotion";

// AI video clip as a hero moment
<Sequence from={0} durationInFrames={150}>
  <OffthreadVideo src={staticFile("assets/hero-reveal.mp4")} />
</Sequence>

// AI-generated still as background
<Sequence from={150} durationInFrames={120}>
  <Img src={staticFile("assets/scene-solution.png")} style={{ width: "100%", height: "100%" }} />
</Sequence>

// Voiceover + music
<Audio src={staticFile("audio/voiceover.mp3")} volume={1} />
<Audio src={staticFile("audio/music.mp3")} volume={0.2} />

Remotion principles

  • Keep all Remotion packages on the same pinned version
  • Transitions: 8-18 frames, purposeful (not decorative)
  • Load fonts explicitly with @remotion/google-fonts
  • Always run npm run verify before npm run render
  • Load reference rules from references/remotion-rules/ as needed

Read references/remotion-playbook.md for detailed Remotion implementation guidance.


Output convention

  • pixcli downloads generated files to the current directory (or path specified with -o)
  • Use --json for machine-readable output (pipe to jq or parse in scripts)
  • All operations are synchronous from the CLI perspective (the CLI handles async polling internally)
  • Video jobs may take 1-8 minutes (the CLI shows progress). If a job times out, use pixcli job <id> --wait to recover

References

Creative guidance

  • references/command-reference.md — Full parameter docs for all pixcli commands
  • references/creative-guidelines.md — Quality standards for productions
  • references/prompt-cookbook.md — Proven prompt patterns for every task
  • references/seedance-playbook.md — Video prompting masterclass (Seedance 2 + all video models): 6-element formula, camera catalog, lighting table, timeline prompting, multimodal role assignment, 10+ ready-to-paste recipes
  • references/seedance-logo-motion.mdLogo animation specialist playbook. Use when the user provides a logo image + asks for a brand reveal / intro / bumper. Auto-activated by the API when --from logo.png is combined with logo+motion keywords.
  • references/workflow-recipes.md — End-to-end recipe examples
  • references/ancillary-assets.md — Asset generation strategy for Remotion scenes

Remotion

  • references/remotion-playbook.md — Remotion implementation guide
  • references/template-showcase.md — Template selector guide
  • references/remotion-rules-index.md — Index of 30+ Remotion rule files
  • references/remotion-rules/ — Detailed rules (animations, audio, text, transitions, etc.)

Templates

  • assets/templates/aida-classic-16x9/
  • assets/templates/cinematic-product-16x9/
  • assets/templates/saas-metrics-16x9/
  • assets/templates/mobile-ugc-9x16/
  • assets/templates/blank-16x9/
  • assets/templates/explainer-16x9/

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

94.14%
按下载量换算2,320

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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