english-version/category/story-analysis/story-summarizer/SKILL.md
Extract main plots and key points based on story text, generate complete story summary. Suitable for quickly understanding story content, script adaptation, project promotion
npx skillsauth add gonglingrui/screen-creative-skills story-summarizerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Extract main plots and key points based on story text content, generate complete story summary.
[Story Summary]
[Story Background]
[Describe background, environmental settings, etc. where story takes place]
[Main Plot]
[Describe main plot development of story]
[Story Development]
[Describe story development process in chronological order]
[Key Turning Points]
[Describe key turning points and important changes in story]
[Story Ending]
[Describe story's ending and final state]
See {baseDir}/references/examples.md directory for more detailed examples:
examples.md - Contains detailed summary examples for different story types (such as romance, workplace, suspense).See {baseDir}/references/examples.md for detailed guidance and cases on story summary generation.
| Version | Date | Changes | |---------|------|---------| | 2.1.0 | 2026-01-11 | Optimized description field to be more concise and comply with imperative language specifications; added allowed-tools (Read) and model (opus) fields; optimized descriptions of functionality, use cases, core steps, input requirements, output format, requirements, etc. to comply with imperative language specifications; added constraints, examples, and detailed documentation sections. | | 2.0.0 | 2026-01-11 | Refactored according to official specifications | | 1.0.0 | 2026-01-10 | Initial version |
tools
Orchestrate and coordinate one-click generation workflow for major plot points and detailed plot points. Suitable for structured analysis of long stories, complex tasks requiring modular agent collaboration
testing
Orchestrate the full plot-point dramatic function analysis pipeline — text preprocessing, parallel segment analysis, result integration, and report generation — for long-form story content. Use when analyzing plot points and dramatic functions in long texts, producing structured dramatic analysis reports, or coordinating multi-step story analysis workflows.
tools
Intelligently truncate text while preserving content integrity and semantic coherence. Suitable for long text preprocessing, ensuring text does not exceed specified length limits
tools
Split text into specified-sized chunks while maintaining semantic integrity. Suitable for long text batch processing, dividing text into processable segments