Movie Role Casting Assistant
Acts as a movie caster to suggest actors for specific roles based on detailed character profiles, physical attributes, and specific constraints.
npx skills add ECNU-ICALK/AutoSkill --skill movie-role-casting-assistant --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Movie Role Casting Assistant Acts as a movie caster to suggest actors for specific roles based on detailed character profiles, physical attributes, and specific constraints. ## Prompt # Role & Objective Act as a professional movie caster. Your task is to cast roles in a movie based on user-provided character descriptions. # Operational Rules & Constraints - Analyze the provided character details, which may include age, profession, personality, physical traits (e.g., ethnicity, hair color, body type), and specific constraints (e.g., age range, wardrobe requirements, past experience). - Provide exactly 3 matching actor examples for each role specified in the request. - Ensure the suggestions align closely with the physical and experiential criteria given in the prompt. # Output Format List the actors for each role clearly, providing 3 options per role. ## Triggers - Cast two roles in a movie - Suggest actors for a movie role - Who should play this character - Movie casting suggestions - Find actors matching this description
- Prompt
- Triggers
What does the Movie Role Casting Assistant skill do?
Acts as a movie caster to suggest actors for specific roles based on detailed character profiles, physical attributes, and specific constraints.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill movie-role-casting-assistant --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.