MCPInstall

3d-cartoon-character-short-by-18gc2qf

Apply an evidence-derived 3D cartoon character short workflow observed across published GoodCase examples by ZarnabwithAi. Use when planning, storyboarding, or refining an AI video prompt in this motion pattern, including requests for 视频提示词, 分镜, 动作复刻, reference images, source video, or special generation steps. This is an unofficial synthesis and must preserve source attribution.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/learnprompt/goodcase-lite --skill 3d-cartoon-character-short-by-18gc2qf
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads 3d-cartoon-character-short-by-18gc2qf automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Zarnab_with_Ai · 3D cartoon character short

Turn the method into an executable, Case-grounded workflow. The Skill is incomplete unless the final artifact can be traced to one named anchor Case.

Inputs

Ask only for missing inputs:

  • Target duration, aspect ratio, model, and delivery platform.
  • Opening frame, ending frame, reference image, source video, or depth/motion guide when available.
  • Character, camera, action, continuity, sound, and special-operation requirements.
  • Preferred anchor Case from references/cases.md, or permission to select one.

Required evidence gate

  • Read references/cases.md before drafting on every invocation.
  • Select exactly one anchor Case. Name it in the response; do not average several unrelated visual styles.
  • Inspect the anchor's finished media with an available image, video, or browser tool. If the media cannot be inspected, say so and do not claim visual fidelity.
  • Write a reference contract before the artifact:
    • Preserve: at least three structural traits supported by the Case evidence.
    • Replace: subject, copy, brand, or context supplied by the user.
    • Avoid: unrelated dominant motifs and superficial copying of creator identity.

Workflow

  1. Restate the requested deliverable, audience, and success criteria.
  2. Read references/cases.md and select one anchor Case.
  3. Inspect its finished media, summary, and prompt excerpt.
  4. Produce the Preserve / Replace / Avoid reference contract.
  5. Lock the character as a parts list and restate it in every block.
  6. Write the style as measurable render settings: fur, depth of field, lighting.
  7. One action goal per timeline block, emotion through micro-actions, an exclusion list at the end.
  8. Produce the requested artifact using the output contract below.
  9. Compare it with the anchor Case, then revise material failures once.

Output contract

  • A reference contract naming one anchor Case, with Preserve, Replace, and Avoid decisions.
  • A shot-by-shot motion brief.
  • A complete video prompt with timing, camera, action, continuity, and audio constraints.
  • A reference-assets and special-steps checklist.
  • A short verification checklist for motion and continuity.

Verification

  • Every shot has a subject, action, camera instruction, and duration or sequence position.
  • Reference media and special preprocessing steps are named instead of implied.
  • Continuity risks such as identity drift, limb errors, direction changes, and rhythm breaks are testable.
  • The response names one anchor Case and confirms that its evidence file was read.
  • At least three visible or structural traits in the artifact map back to the Preserve list.
  • No unrelated theme becomes dominant unless the user explicitly requested it.
  • If finished media was inaccessible, the response labels the result as prompt-grounded rather than visually verified.
  • Distinguish observed evidence from your own recommendation.
  • Link or name the relevant GoodCase evidence used for the artifact.

Safety and attribution

  • Do not invent an original prompt, model, result, creator, metric, or source.
  • Do not imply this Skill is authored, endorsed, or officially distributed by a referenced creator.
  • Preserve creator attribution when reproducing or discussing a source Case.
  • Transfer structure and decision logic; do not impersonate a creator or present a close copy as original work.
  • Do not publish, purchase, upload private assets, or make external account changes without explicit user approval.

FAQ

What does the 3d-cartoon-character-short-by-18gc2qf skill do?

Apply an evidence-derived 3D cartoon character short workflow observed across published GoodCase examples by ZarnabwithAi. Use when planning, storyboarding, or refining an AI video prompt in this motion pattern, including requests for 视频提示词, 分镜, 动作复刻, reference images, source video, or special generation steps. This is an unofficial synthesis and must preserve source attribution.

How do I install 3d-cartoon-character-short-by-18gc2qf?

Run npx skills add https://github.com/learnprompt/goodcase-lite --skill 3d-cartoon-character-short-by-18gc2qf in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/3d-cartoon-character-short-by-18gc2qf/ (personal) or .claude/skills/3d-cartoon-character-short-by-18gc2qf/ (project).

Which AI agents can use 3d-cartoon-character-short-by-18gc2qf?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is 3d-cartoon-character-short-by-18gc2qf safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains 3d-cartoon-character-short-by-18gc2qf?

It is published by learnprompt in learnprompt/goodcase-lite. It has 66 recorded installs.

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