Enhance Seedance prompts by removing vague language and improving clarity.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add Emily2040/seedance-2.0 --skill seedance-antislopCompatible with
Supported agents
| name | seedance-antislop |
| description | "This skill should be used when a Seedance 2.0 prompt contains generic AI filler, hollow superlatives, vague cinematic language, bloated adjectives, weak verbs, or needs sharper production-specific wording." |
| license | MIT |
| user-invocable | true |
| tags | - prompt-quality - anti-slop - seedance-20 |
| metadata | version: "5.5.2" updated: "2026-06-12" parent: "seedance-20" author: "Iamemily2050 (@iamemily2050)" repository: "https://github.com/Emily2040/seedance-2.0" openclaw: emoji: "🎬" homepage: "https://github.com/Emily2040/seedance-2.0" |
Remove filler that hides missing visual decisions. A strong Seedance prompt uses observable nouns, verbs, camera moves, light sources, sound cues, and constraints. A weak prompt asks for excellence without saying what excellence looks or sounds like.
Users reach for giant empty words precisely because they care intensely and don't know where to put it. The soul of de-slopping is conservation: every deleted "epic" must come back as a visible choice that holds the same caring. Strip a prompt without honoring the feeling that bloated it, and the user hears that their excitement was wrong.
Every major phrase should be visible to a camera, measurable by a light meter, audible in the mix, or observable as motion. If a phrase cannot pass that test, replace it with production language.
| Filler | Ask what it means | Strong replacement pattern |
|---|---|---|
| cinematic | What camera and light make it cinematic? | locked close-up, warm practical key, cool rim light |
| epic | What is the scale or stake? | wide low-angle shot, tiny figure against storm wall |
| beautiful | What color, texture, or light behavior? | pearl highlights on wet ceramic, soft window bounce |
| dynamic | What moves, how fast, and where does it end? | fast lateral track ending on the hero label |
| professional | What production setup? | clean commercial tabletop, controlled reflection, no clutter |
Classify before rewriting - each class has a different repair:
cinematic, epic, stunning) - convert each to the one observable detail that earns it.8K, masterpiece, trending on ArtStation) - delete; quality and resolution are settings, not prose.no blur, no artifacts, no extra fingers) - negation summons; describe what IS there instead, and keep negation only in the constraint slot.电影感, 雰囲気のある, 감성적인, atmosférico, атмосферный, vibey) - name the physical cause of the feeling; every language file in references/vocab/ has a Slop Traps table for its own community's empty words.First, underline all superlatives and vague style labels and classify each by slop class. Second, decide whether each word should become camera, light, motion, material, sound, or constraint language. Third, reduce duplicates. Fourth, keep the prompt within the character budget and preserve reference tags.
Do not remove useful genre language when it is paired with concrete direction. Noir hallway with hard venetian-blind shadows is useful; dramatic cinematic noir vibes is not. Keep terms that communicate medium, era, palette, or lens behavior.
Load [ref:anti-slop-lexicon] for the slop-class taxonomy and extended replacement table, and [skill:seedance-vocab-en] with references/vocab/en.md for the full function-organized English precision vocabulary. For non-English prompts, load the matching vocab file's Slop Traps table (references/vocab/zh.md, ja.md, ko.md, es.md, ru.md) - each language community has its own empty-quality words and decompositions.
Return removed words, replacements grouped by camera/light/motion/sound/constraint, and the tightened prompt.
https://github.com/Emily2040/seedance-2.0/blob/main/skills/seedance-antislop/SKILL.md
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionseedance-antislopExecute the skills CLI command in your project's root directory to begin installation:
epx add Emily2040/seedance-2.0 --skill seedance-antislopFetches seedance-antislop from Emily2040/seedance-2.0 and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/seedance-antislop
Restart Cursor to activate seedance-antislop. Access via /seedance-antislopin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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seedance-antislop has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for seedance-antislop matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: seedance-antislop is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: seedance-antislop is focused, and the summary matches what you get after install.
seedance-antislop fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
seedance-antislop has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for seedance-antislop matched our evaluation — installs cleanly and behaves as described in the markdown.
We added seedance-antislop from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
seedance-antislop reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: seedance-antislop is the kind of skill you can hand to a new teammate without a long onboarding doc.
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