prompt-engineer
π―Skillfrom lm-kit/lm-kit-net-samples
Generates, refines, and optimizes AI prompts to improve language model performance and output quality across different use cases.
Part of
lm-kit/lm-kit-net-samples(12 items)
Installation
npx skills add https://github.com/lm-kit/lm-kit-net-samples --skill prompt-engineerNeed more details? View full documentation on GitHub β
More from this repository10
Reviews code for potential issues, best practices, and code quality using AI-powered static analysis and intelligent code inspection techniques.
Automatically generates concise summaries of meeting transcripts or recordings, extracting key discussion points, decisions, and action items.
Analyzes legal contracts using AI to extract key terms, identify potential risks, and provide structured insights about contract contents and clauses.
Migrates and transforms code across different programming languages and frameworks with intelligent adaptation and mapping.
Automatically generates structured release notes by extracting and summarizing key changes from commit history or changelog entries.
Analyzes structured data, generates insights, creates visualizations, and produces statistical reports using local AI processing in .NET environments.
Generates SQL queries, provides database schema insights, and offers expert-level SQL optimization and troubleshooting recommendations for .NET developers.
Assists writers by providing intelligent suggestions, editing recommendations, and contextual writing support across various document types.
Generates professional, context-aware Git commit messages by analyzing code changes and project context.
Translates text between multiple languages using local AI models within the LM-Kit.NET framework, without requiring cloud services.