Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/anthropics/claude-plugins-community/quickdesignnpx skills add anthropics/claude-plugins-community --skill quickdesigngit clone --depth 1 https://github.com/anthropics/claude-plugins-communityWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/anthropics/claude-plugins-community/quickdesign)<a href="https://agentmods.dev/skills/anthropics/claude-plugins-community/quickdesign"><img src="https://agentmods.dev/badge/skills/anthropics/claude-plugins-community/quickdesign.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00094 | $0.04922 |
| Opus 5 | $0.00047 | $0.02461 |
| Sonnet 5 | $0.00019 | $0.00984 |
| Haiku 4.5 | $0.00009 | $0.00492 |
Grade A, and why
quickdesign scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QuickDesign CLI skill
This skill teaches Claude how to plan and execute AI media generation through the quickdesign CLI. The CLI wraps QuickDesign's hosted models (Seedance 2.0 R2V/I2V, Kling, Sora 2, Nano Banana, GPT Image, video upscale) so a Claude session can produce videos and images directly from Bash without managing API keys, polling, or storage upload.
When to invoke
- Talking-avatar / UGC video — "make a 30-second ad where this person says X", "convert this script to a video", "create a creator-selfie clip"
- Multi-segment promo / explainer — anything where total speech is >15s (single Seedance segment cap) or where the user wants angle cuts / framing progression
- Image edit / generation — angle change, state change, product on white background, lifestyle composite, brand-kit-styled creatives, multi-product reference composition
- Video upscale — bring 720p / 1080p output to 1080p / 4K
- Bulk / batch creative production — "do this for each of these 5 product photos"
Do NOT use for: pure text generation, code edits, search — those have their own tools.
Cardinal rules (read first, every time)
These apply to every generation. Breaking any of them produces visible defects.
-
Default video model =
seedance-2.0-r2vfor ANY UGC / talking-avatar / promo / explainer / multi-scene work, regardless of duration or segment count. Don't downgrade toseedance-2.0-i2vbecause the script is "short enough" — R2V handles 4-15s single-shot just as well as multi-segment, and going through R2V from the start preserves every primitive this skill depends on (@Image1references, multi---reference-image,--reference-audiovoice continuity). Switch off R2V only on explicit user opt-in ("use Sora 2") or if R2V is unavailable in the registry.⚠️ The name "i2v" (image-to-video) is misleading. R2V also accepts a single-image-to-video flow — just pass one
--reference-image. Don't pick i2v because the task is "image-to-video as English". An agent reasoning chain like "user wants to animate static images → image-to-video → therefore seedance-2.0-i2v" is the silent regression this rule exists to prevent. Even when you're animating a single banana edit with no speech and no multi-ref needs, R2V is still the default — i2v adds nothing and forfeits the primitives if the next iteration of the task DOES need them.
What ships with it
21 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- .version 6 B
- models/kling-3-pro.md 2.6 KB
- models/nano-banana-2.md 6.2 KB
- models/seedance-2.0-i2v.md 1.6 KB
- models/seedance-2.0-r2v.md 6.3 KB
- models/sora2-i2v.md 2.9 KB
- models/topaz-video-upscale.md 2.5 KB
- pipelines/ugc-video.md 15 KB
- references/auto-subtitle.md 6.0 KB
- references/avatar-edit-not-regenerate.md 7.5 KB
- references/brand-and-moderation.md 6.3 KB
- references/confirmation-rules.md 15 KB
- references/connecting-claude-ai-via-mcp.md 6.5 KB
- references/deploy-meta.md 3.8 KB
- references/first-frame-not-camera-motion.md 4.2 KB
- references/multi-reference-pattern.md 5.9 KB
- references/narrative-arc.md 6.4 KB
- references/no-music-no-subtitles.md 2.0 KB
- references/script-and-duration.md 5.0 KB
- references/spybrands-add-on-miss.md 9.8 KB
- references/voice-continuity.md 3.6 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 239 lines · 94 tokens per session scan A 3329eb8e1c45
quickdesign is a skill published in the GitHub repository anthropics/claude-plugins-community (3,342 stars, last pushed 9d ago), licensed Apache-2.0. It adds 94 tokens to every session and 4,922 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…