Content Summary Helper
Paste the following prompt into your AI chat to install this skill:
Please follow https://skillhub.cn/install/skillhub.md to install @user_0cb2ead3/content-summary-helper1.
About this skill
What Problem It Solves
When reading long text, useful signals are often scattered across paragraphs, lists, and repeated phrasing. Manual highlighting can miss constraints and spend time on background details. Content Summary Helper targets reading, note-taking, and office workflows: give it the text to process and get a shorter version of the key points, which helps decide whether the material matters for the current task.
How It Works
- Input: paste the text that needs summarizing.
- Processing: the skill condenses the content and extracts key information.
- Output: it produces a summary containing main points, key facts, or conclusions worth attention.
The flow is close to paste long text → extract core points → get a concise brief. It fits quick previews and follow-up reading rather than replacing human verification, structured analysis, or cross-document reasoning.
Boundaries To Keep In Mind
- Keep each input reasonably short; split complex materials into sections.
- Treat summaries as references, not final facts.
- For data, rules, liability, or other high-stakes details, verify the source before relying on the output.
Use Cases
- Before reviewing long meeting notes, paste the transcript and locate decisions, action items, and disagreements.
- Paste product or policy text to extract conditions, restrictions, and exceptions, then decide whether to read it fully.
- When organizing interview notes, input long responses and list the interviewee’s core points for fact-checking.
- When reading technical articles, paste the main text to extract the problem, steps, and caveats into a brief.
Best For
- Administrators or project managers organizing meeting minutes need long records reduced to decisions, action items, and risks.
- User researchers conducting customer interviews need long responses reduced to interviewees’ core points.
- Operations or legal staff reviewing product or policy terms need conditions, restrictions, and exceptions extracted.
- Engineers reading technical articles need long text condensed into problems, steps, and caveats.
Related Skills
Updates Next.js documentation based on code changes in the active branch to help maintainers review PR documentation completeness.
Use a book title and author to search reviews, contents, and reader feedback, then generate a structured breakdown of historical or decision-logic books with key claims, concepts, quotes, and reading notes in Obsidian.
A multi-system divination advisor covering Bazi, Ziwei, tarot, feng shui, timing, and naming with structured interpretations.
Provides Bazi, Liu Yao, Qimen, Meihua, and date-selection guidance from classical references, with plain-language explanations and actionable suggestions.