AgentStack
SKILL verified MIT Self-run

Seedance Vocab En

skill-leoyeai-seedance-skills-seedance-vocab-en · by LeoYeAI

This skill should be used when an English Seedance 2.0 prompt is slop-heavy, generic, padded with empty quality words, tripping false-positive filters, or needs precise English production vocabulary for camera, lighting, motion, VFX, audio, and constraints.

No reviews yet
0 installs
14 views
0.0% view→install

Install

$ agentstack add skill-leoyeai-seedance-skills-seedance-vocab-en

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

Are you the author of Seedance Vocab En? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

seedance-vocab-en

English is the default prompting language and fails in two ways at once: slop (empty evaluation words that add tokens and no signal) and false positives (vague threat-adjacent wording that trips the heaviest moderation surface). The cure for both is the same: concrete production English. Preserve reference tags exactly: @Image1, @Video1, @Audio1 must never be reworded.

Intent

English is where most users think, and where most prompts quietly rot. The soul of this vocabulary is precision as kindness: give people exact words so their excitement survives contact with the model, and so honest prompts stop being mistaken for dangerous ones.

Usage Rule

If a camera, microphone, light meter, or stopwatch cannot detect it, rewrite it. Every sentence should name something visible, audible, or measurable: subject, visible action, camera, light source, sound, constraint.

| Function | English wording | |---|---| | Camera | slow push-in, locked medium shot, stable lateral tracking, pull back to reveal, macro close-up | | Lighting | soft backlight, warm practical light from the left, cool moonlight rim, wet asphalt reflecting neon | | Motion | a slow head turn that stops, droplets merge and slide down, fabric settles after the gesture | | Audio | quiet room tone, one clear spoken line in quotes, no music until after the line | | Constraints | keep the logo, label, and shape unchanged, one action, one camera move, nothing else moves |

De-Slop Pass

Strip quality adjectives before adding anything: cinematic, epic, stunning, masterpiece, 8K, ultra-realistic, award-winning, hyper-detailed all delete or convert to one observable detail each. A prompt that earns "epic" names the crowd size, the lens distance, or the structure height instead of the word.

Filter-Aware Wording

English homonyms read as threats to filters: shoot the scene, kill the lights, gun it, dead silence, blow up the image. Use the production synonym (film the take, cut the lights to black, accelerate hard, held silence, enlarge to full frame). This is clarity for safe prompts only — never evasion. Anything genuinely risky (minors, real-person likeness, sexual or graphic content) routes to [skill:seedance-filter] for its boundary rule, not to a rewording.

Compact Pattern

@Image1 is the reference; keep identity, color, and shape unchanged. Only [motion/light/camera] changes. Camera: [one move]. Sound: [one cue]. Constraints: [lock].

Load references/vocab/en.md for the full function-organized vocabulary, slop traps, and filter-trip repairs. Load [ref:anti-slop-lexicon] for the core replacement rule and [ref:filter-vocab] for the full false-positive repair table.

Output Contract

Return the de-slopped English prompt, each replacement made (slop → observable detail), any filter-trip repair applied, and unchanged reference tags.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet — be the first.

Versions

  • v0.1.0 Imported from the upstream source.