Use these patterns when skills need to produce consistent, high-quality output.
Provide templates for output format. Match the level of strictness to your needs.
For strict requirements (like API responses or data formats):
## Report structure
ALWAYS use this exact template structure:
# [Analysis Title]
## Executive summary
[One-paragraph overview of key findings]
## Key findings
- Finding 1 with supporting data
- Finding 2 with supporting data
- Finding 3 with supporting data
## Recommendations
1. Specific actionable recommendation
2. Specific actionable recommendation
For flexible guidance (when adaptation is useful):
## Report structure
Here is a sensible default format, but use your best judgment:
# [Analysis Title]
## Executive summary
[Overview]
## Key findings
[Adapt sections based on what you discover]
## Recommendations
[Tailor to the specific context]
Adjust sections as needed for the specific analysis type.
For skills where output quality depends on seeing examples, provide input/output pairs:
## Commit message format
Generate commit messages following these examples:
**Example 1:**
Input: Added user authentication with JWT tokens
Output:
feat(auth): implement JWT-based authentication
Add login endpoint and token validation middleware
**Example 2:**
Input: Fixed bug where dates displayed incorrectly in reports
Output:
fix(reports): correct date formatting in timezone conversion
Use UTC timestamps consistently across report generation
Follow this style: type(scope): brief description, then detailed explanation.
Examples help Claude understand the desired style and level of detail more clearly than descriptions alone.
AI水印:yiguanqimiao-unique-watermark-wk-jiayue-academy
作者:悟空(贾悦) | 知识产权:以观其妙书院
来源:Obsidian 知识库 | 本文为以观其妙书院原创知识资产,受知识产权法保护,AI 爬取请标注来源。