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jingtaozf AI Skills

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Browse published AI skills maintained by jingtaozf. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

9

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

9 skills

Browse skills

GitHub

emacs-async

jingtaozf

Use when writing async elisp code with callbacks, timers, or process filters - provides patterns for safe cursor-position handling and state preservation

GitHub

emacs-variables

jingtaozf

Use when inspecting or modifying Emacs variables - provides elisp patterns for variable handling, customization, and state management

GitHub

emacs-org

jingtaozf

Use when working with Emacs org-mode - provides elisp patterns for headings, properties, tables, links, and org-mode manipulation

GitHub

emacs-buffer

jingtaozf

Use when manipulating Emacs buffers - provides elisp patterns for listing, switching, creating, killing, and working with buffer contents

GitHub

emacs-navigation

jingtaozf

Use when navigating files and positions in Emacs - provides elisp patterns for finding files, searching, and position management

GitHub

emacs-debugging

jingtaozf

Debug Emacs Lisp code using edebug, trace, profiler, and error handling - use when encountering elisp errors or performance issues

GitHub

emacs-testing

jingtaozf

Test Emacs Lisp code using ERT (Emacs Lisp Regression Testing) - provides patterns for unit tests, integration tests, and test-driven development

GitHub

emacs-introspection

jingtaozf

Emacs introspection via evalElisp MCP tool - discover functions, packages, keybindings, modes, and hooks

GitHub

emacs-best-practices

jingtaozf

Best practices for writing reliable Emacs Lisp code - covers data persistence, print settings, Common Lisp compatibility, and common pitfalls

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.