action-continuity-choreography-by-1lcb8j2
Apply an evidence-derived Action continuity choreography workflow observed across published GoodCase examples by haruuraeadss. 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 action-continuity-choreography-by-1lcb8j2- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads action-continuity-choreography-by-1lcb8j2 automatically when relevant.
- 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.
haruuraeadss · Theatrical Cel-Shaded Fantasy
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.mdbefore 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
- Restate the requested deliverable, audience, and success criteria.
- Read
references/cases.mdand select one anchor Case. - Inspect its finished media, summary, and prompt excerpt.
- Produce the Preserve / Replace / Avoid reference contract.
- Fix character and movement direction.
- Split setup, conflict, and resolution.
- Constrain camera, speed, and continuity shot by shot.
- Produce the requested artifact using the output contract below.
- 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 action-continuity-choreography-by-1lcb8j2 skill do?
Apply an evidence-derived Action continuity choreography workflow observed across published GoodCase examples by haruuraeadss. 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 action-continuity-choreography-by-1lcb8j2?
Run npx skills add https://github.com/learnprompt/goodcase-lite --skill action-continuity-choreography-by-1lcb8j2 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/action-continuity-choreography-by-1lcb8j2/ (personal) or .claude/skills/action-continuity-choreography-by-1lcb8j2/ (project).
Which AI agents can use action-continuity-choreography-by-1lcb8j2?
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 action-continuity-choreography-by-1lcb8j2 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 action-continuity-choreography-by-1lcb8j2?
It is published by learnprompt in learnprompt/goodcase-lite. It has 51 recorded installs.
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