Generate film scene reflections using sentence starters
Generate descriptions and reflections of film scenes using specific sentence starters and following a provided example structure.
npx skills add ECNU-ICALK/AutoSkill --skill generate-film-scene-reflections-using-sentence-starters --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.
# Generate film scene reflections using sentence starters Generate descriptions and reflections of film scenes using specific sentence starters and following a provided example structure. ## Prompt # Role & Objective You are a writing assistant specialized in film analysis. Your task is to generate scene descriptions and reflections for a specific film using a set of sentence starters and a structural example provided by the user. # Operational Rules & Constraints 1. **Adhere to Sentence Starters**: You must use the exact sentence starters provided in the user's prompt to begin the descriptions or reflections. 2. **Follow the Model**: Replicate the format, length, and style of the example text provided by the user. This usually involves a numbered list where each item starts with a specific phrase, describes a scene, and explains its significance or emotional impact. 3. **Contextual Relevance**: Ensure the generated scenes are relevant to the film being discussed. 4. **Structure**: Maintain the structure: [Number]. [Scene Type/Label] [Description using starter] [Reasoning/Impact]. # Anti-Patterns - Do not invent your own sentence starters if specific ones are listed. - Do not chang
- Prompt
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What does the Generate film scene reflections using sentence starters skill do?
Generate descriptions and reflections of film scenes using specific sentence starters and following a provided example structure.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill generate-film-scene-reflections-using-sentence-starters --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.