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- Huashu Prompt Save
huashu-prompt-save_skill
- Python
49
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill alchaincyf/huashu-skills --skill huashu-prompt-save- SKILL.md2.4 KB
Overview
This skill automatically recognizes prompt type and saves it into one of five categories (Technical, Content, Teaching, Product, General). It extracts key metadata, generates a clear filename and markdown file, and updates the index for easy retrieval. The goal is quick, consistent prompt organization so users can store and reuse prompts reliably.
How this skill works
When the user asks to save or organize a prompt, the skill scans the text for keywords and intent to assign one of five categories. It extracts metadata (purpose, source, applicable scenarios, tags), preserves the original prompt format, and generates a concise title and filename. The skill writes a structured markdown entry into the matching category folder and appends an entry to the central INDEX.md.
When to use it
- User says: "save this prompt", "record prompt", or "整理prompt" (organize prompt).
- User pastes a prompt and asks: "help me store/organize this."
- You want consistent naming, tagging, and searchable storage for reused prompts.
- You are creating a shareable prompt library for a team or project.
Best practices
- If intent is ambiguous, ask a clarifying question before saving.
- Keep titles practical and under 15 characters for quick scanning.
- Assign 3–5 descriptive tags to improve searchability.
- Preserve the original prompt formatting exactly in the saved file.
- Record network sources when the prompt is adapted from external content.
Example use cases
- Saving a Python debugging prompt into the Technical category with tags like #python #debugging.
- Organizing a blog-post generator prompt into Content with usage notes and example outputs.
- Storing a lesson-plan prompt into Teaching with target audience and suggested activities.
- Recording a product-research prompt into Product with user-research context and recommended metrics.
- Collecting small utility prompts (translation, concise summaries) into General for team utilities.
FAQ
Ask the user which category they prefer; if unsure, recommend the category matching the primary intent and allow adding cross-reference tags.
How are filenames generated?
Filenames use an auto-incremented number plus a short practical title: prompt-[number]-[short-title].md to keep entries ordered and readable.