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paiml

@paiml source repo

12 published skills

  1. Dogfood 2 · paiml
    Dogfood pmat — rebuild, install, exercise every CLI command against pmat's own repo, check output integrity + self-quality, find next work. Read-only audit; files issues for bugs.
    0 installs
  2. Deep Context Generation With Pmat 2 · paiml bundle
    Generates comprehensive, LLM-optimized codebase context using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - Starting work on unfamiliar codebases - Onboarding to new projects or repositories - Need quick understanding of project architecture - Preparing for refactoring or feature implementation - Creating documentation or technical specifications Outputs highly compressed markdown (60-80% reduction) optimized for LLM consumption. Supports 25+ languages with architecture visualization, complexity heatmaps, and dependency graphs.
    0 installs
  3. Code Quality Analysis With Pmat 2 · paiml bundle
    Analyzes code quality, complexity, and technical debt using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - User mentions "code quality", "complexity", "technical debt", or "maintainability" - Reviewing code or conducting code review - Modifying or refactoring existing code files - Creating pull requests or preparing commits - Investigating performance or quality issues Supports 25+ languages including Rust, Python, TypeScript, JavaScript, Go, C++, Java, Ruby, PHP, Swift, and more. Provides cyclomatic complexity, cognitive complexity, maintainability index, dead code detection, and technical debt annotations (SATD: TODO, FIXME, HACK comments).
    0 installs
  4. Automated Refactoring With Pmat 2 · paiml bundle
    Provides automated refactoring suggestions and complexity reduction strategies using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - User requests code refactoring, optimization, or improvement - Complexity analysis reveals high-complexity functions (cyclomatic > 10) - Code review identifies maintainability issues - Technical debt needs to be addressed systematically - Preparing legacy code for modernization Supports 25+ languages with data-driven refactoring recommendations based on complexity metrics, mutation testing results, and industry best practices (Fowler's refactoring catalog).
    0 installs
  5. Technical Debt Tracking With Pmat 2 · paiml bundle
    Tracks and manages technical debt using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - User asks about technical debt, TODO comments, or code quality issues - Planning sprint work and need to prioritize debt repayment - Conducting code audits or technical debt assessments - Tracking debt accumulation trends over time - Creating technical debt reports for stakeholders Detects SATD (Self-Admitted Technical Debt) annotations: TODO, FIXME, HACK, XXX, NOTE comments. Provides debt quantification in hours, prioritization by severity, and repayment tracking.
    0 installs
  6. Multi Language Project Analysis With Pmat 2 · paiml bundle
    Analyzes polyglot codebases with multiple programming languages using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - Working with projects containing multiple programming languages - Assessing cross-language integration patterns and quality - Understanding language distribution and architectural boundaries - Comparing quality metrics across language ecosystems - Identifying language-specific best practices violations Supports 25+ languages including Rust, Python, TypeScript, JavaScript, Go, C++, Java, Ruby, PHP, Swift, Kotlin, C, C#, Scala, Haskell, Elixir, Clojure, Dart, Lua, R, and more. Provides unified quality assessment across heterogeneous codebases.
    0 installs
  7. Dogfood · paiml
    Dogfood pmat — rebuild, install, exercise every CLI command against pmat's own repo, check output integrity + self-quality, find next work. Read-only audit; files issues for bugs.
    0 installs
  8. Technical Debt Tracking With Pmat · paiml bundle
    Tracks and manages technical debt using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - User asks about technical debt, TODO comments, or code quality issues - Planning sprint work and need to prioritize debt repayment - Conducting code audits or technical debt assessments - Tracking debt accumulation trends over time - Creating technical debt reports for stakeholders Detects SATD (Self-Admitted Technical Debt) annotations: TODO, FIXME, HACK, XXX, NOTE comments. Provides debt quantification in hours, prioritization by severity, and repayment tracking.
    0 installs
  9. Automated Refactoring With Pmat · paiml
    Provides automated refactoring suggestions and complexity reduction strategies using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - User requests code refactoring, optimization, or improvement - Complexity analysis reveals high-complexity functions (cyclomatic > 10) - Code review identifies maintainability issues - Technical debt needs to be addressed systematically - Preparing legacy code for modernization Supports 25+ languages with data-driven refactoring recommendations based on complexity metrics, mutation testing results, and industry best practices (Fowler's refactoring catalog).
    3 installs
  10. Multi Language Project Analysis With Pmat · paiml
    Analyzes polyglot codebases with multiple programming languages using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - Working with projects containing multiple programming languages - Assessing cross-language integration patterns and quality - Understanding language distribution and architectural boundaries - Comparing quality metrics across language ecosystems - Identifying language-specific best practices violations Supports 25+ languages including Rust, Python, TypeScript, JavaScript, Go, C++, Java, Ruby, PHP, Swift, Kotlin, C, C#, Scala, Haskell, Elixir, Clojure, Dart, Lua, R, and more. Provides unified quality assessment across heterogeneous codebases.
    1 install
  11. Deep Context Generation With Pmat · paiml
    Generates comprehensive, LLM-optimized codebase context using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - Starting work on unfamiliar codebases - Onboarding to new projects or repositories - Need quick understanding of project architecture - Preparing for refactoring or feature implementation - Creating documentation or technical specifications Outputs highly compressed markdown (60-80% reduction) optimized for LLM consumption. Supports 25+ languages with architecture visualization, complexity heatmaps, and dependency graphs.
    1 install
  12. Code Quality Analysis With Pmat · paiml
    Analyzes code quality, complexity, and technical debt using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - User mentions "code quality", "complexity", "technical debt", or "maintainability" - Reviewing code or conducting code review - Modifying or refactoring existing code files - Creating pull requests or preparing commits - Investigating performance or quality issues Supports 25+ languages including Rust, Python, TypeScript, JavaScript, Go, C++, Java, Ruby, PHP, Swift, and more. Provides cyclomatic complexity, cognitive complexity, maintainability index, dead code detection, and technical debt annotations (SATD: TODO, FIXME, HACK comments).
    1 install