Collection12 items

lm-kit/lm-kit-net-samples

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2stars

🎯Skills12

🎯code-reviewer🎯Skill

Reviews code for potential issues, best practices, and code quality using AI-powered static analysis and intelligent code inspection techniques.

code-reviewer
🎯meeting-summarizer🎯Skill

Automatically generates concise summaries of meeting transcripts or recordings, extracting key discussion points, decisions, and action items.

meeting-summarizer
🎯api-designer🎯Skill

Designs and generates API specifications and documentation using large language models and predefined templates.

api-designer
🎯contract-analyzer🎯Skill

Analyzes legal contracts using AI to extract key terms, identify potential risks, and provide structured insights about contract contents and clauses.

contract-analyzer
🎯code-migrator🎯Skill

Migrates and transforms code across different programming languages and frameworks with intelligent adaptation and mapping.

code-migrator
🎯release-notes🎯Skill

Automatically generates structured release notes by extracting and summarizing key changes from commit history or changelog entries.

release-notes
🎯data-analyst🎯Skill

Analyzes structured data, generates insights, creates visualizations, and produces statistical reports using local AI processing in .NET environments.

data-analyst
🎯sql-expert🎯Skill

Generates SQL queries, provides database schema insights, and offers expert-level SQL optimization and troubleshooting recommendations for .NET developers.

sql-expert
🎯writing-assistant🎯Skill

Assists writers by providing intelligent suggestions, editing recommendations, and contextual writing support across various document types.

writing-assistant
🎯translator🎯Skill

Translates text between multiple languages using local AI models within the LM-Kit.NET framework, without requiring cloud services.

translator
🎯git-commit-pro🎯Skill

Generates professional, context-aware Git commit messages by analyzing code changes and project context.

git-commit-pro
🎯prompt-engineer🎯Skill

Generates, refines, and optimizes AI prompts to improve language model performance and output quality across different use cases.

prompt-engineer