blog-write-ml-tutorial
Write a blog post about an ML library or technique for a technical audience
SKILL.md.claude/skills/blog.write_ml_tutorial/SKILL.md
GitHubGoal
- Write a blog post about using an ML library or technique in a real-world application
- Target a technical audience with an ML and AI background that may not know the library or technique
- Promote the library and explain its benefits in simple terms
- Explain why it is better than alternatives for the use case
Workflow
Write the Post
- Follow this structure:
- Title
- Subtitle: short description of the post, in first person
- Introduction: explain the library or technique and its benefits in simple terms
- Competitors: explain the main competitors and why this library may be better
- Problem Statement: explain the problem and how the library or technique solves it
- Solution: explain the solution with code snippets, output examples, and screenshots, simple enough to follow without running the code
- Conclusion: summarize the benefits and why it is better for the use case
- References: list the references used to write the post
- Give each section a concise, interesting title
Conventions
- Use Markdown and LaTeX for math equations
- Use Graphviz for diagrams
- Use the images referenced in the Markdown and Jupyter Notebook files in the project
Verification
- Confirm the post follows the required structure (Title, Subtitle, Introduction, Competitors, Problem Statement, Solution, Conclusion, References)
- Confirm code snippets and screenshots let the reader follow along without running the code