IndianBoy42

Work inside a running marimo notebook's kernel — execute code, create cells, and build a notebook as an artifact. Use when the user wants to start a marimo notebook or work in an active marimo session.

Working on config and plugins for opencode

Hypothesis-driven debugging methodology: systematic investigation, binary search isolation, escalation criteria. Load when debugging complex, elusive, or multi-system bugs.

Systematic code refactoring methodology using ast-grep, comby, and manual transformations. Load when performing large-scale code restructuring or systematic transformations.

Deep research methodology: recursive exploration, branch-and-synthesize pattern, documentation structure. Load when conducting broad, open-ended research on technical or scientific topics.

Code review framework: 5-category evaluation, structured output format, severity levels. Load when performing thorough code reviews of changes, diffs, or pull requests.

Software development workflow patterns: exploration, implementation, testing, review cycles. Load this skill when coordinating multi-step development tasks or delegating software work.

Check if a marimo notebook is compatible with WebAssembly (WASM) and report any issues.

Use when creating or modifying bash shell scripts, needing script templates, error handling patterns, or shell scripting best practices.

Use when creating Justfiles, needing modern command runners, or implementing just command runner patterns for task automation.

Use when you need detailed kitty terminal API reference, remote control commands, window management, or advanced kitty integration patterns.

Use when creating Makefiles, needing build automation, defining make targets, or implementing standard makefile patterns and recipes.

Comprehensive guide for Python type annotations, type checking, and modern typing patterns. Use when: (1) Adding type hints to Python code, (2) Configuring mypy/pyright/ty type checkers, (3) Understanding generics, protocols, and advanced type patterns, (4) Migrating to modern Python typing, (5) Setting up strict type checking in CI/CD, (6) Building type-safe APIs and libraries. Covers Python 3.10+ modern syntax, type narrowing, structural typing, and best practices.

Use when you need to explore, search, or understand codebases using structural AST patterns. Ideal for finding specific code patterns, understanding code architecture, discovering API usage, or locating code smells across multiple files.

Use when you need to perform code refactoring, semantic transformations, or structural rewrites across multiple files. Ideal for API migrations, code modernization, breaking change adoption, or systematic code transformations.

Use gccdiag when you need to quickly check a certain c/c++ file compiles, using the exact arguments from the project compile_commands.json