Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
MATLAB
Avoid common MATLAB mistakes — indexing traps, matrix vs element-wise ops, and vectorization pitfalls.
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Avoid common MATLAB mistakes — indexing traps, matrix vs element-wise ops, and vectorization pitfalls.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
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- Review SKILL.md after the package is downloaded.
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
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Documentation
Indexing
1-based indexing — first element is A(1), not A(0) end keyword for last index — A(end), A(end-1), works in any dimension Linear indexing on matrices — A(5) accesses 5th element column-major order Logical indexing returns vector — A(A > 0) gives 1D result regardless of A's shape
Matrix vs Element-wise
* is matrix multiplication — .* for element-wise / solves A*x = B — ./ for element-wise division ^ is matrix power — .^ for element-wise power Forgetting the dot is silent bug — dimensions might accidentally match
Vector Shape Matters
Row vector: [1 2 3] or [1, 2, 3] — shape is 1×3 Column vector: [1; 2; 3] — shape is 3×1 Transpose with ' (conjugate) or .' (non-conjugate) — for complex, they differ * between row and column gives scalar or matrix — depending on order
Array Preallocation
Growing arrays in loops is slow — preallocate: A = zeros(1000, 1) zeros, ones, nan for preallocation — specify size upfront Cell arrays: cell(n, m) — preallocate cells too
Broadcasting
Implicit expansion since R2016b — A + b works if dimensions compatible Singleton dimensions expand — [1;2;3] + [10 20] gives 3×2 Before R2016b needed bsxfun — legacy code may still use it
NaN Handling
NaN ~= NaN is true — use isnan() to check Most operations propagate NaN — sum([1 NaN 3]) is NaN Use 'omitnan' flag — sum(A, 'omitnan'), mean(A, 'omitnan')
Cell Arrays vs Matrices
{} for cell arrays — hold mixed types, different sizes () indexing returns cell — C(1) is 1×1 cell {} indexing extracts content — C{1} is the actual value Comma-separated list from C{:} — useful for function arguments
Common Mistakes
= for assignment, == for comparison — if x = 5 is error in MATLAB Semicolon suppresses output — forget it and flood command window clear removes all variables — use clearvars for selective, close all for figures i and j are imaginary unit — don't use as loop variables, or reassign explicitly String vs char: "text" vs 'text' — double quotes are string arrays (R2017a+)
Functions
Anonymous functions: f = @(x) x^2 — quick inline functions Multiple outputs: [a, b] = func() — must capture or use ~ to ignore nargin/nargout for optional args — check how many inputs/outputs provided varargin/varargout for variable args — cell array of extra arguments
Debugging
dbstop if error — breakpoint on any error keyboard in code pauses execution — enter debug mode at that line whos shows variable sizes — size(A) for specific variable
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
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Package contents
Included in package
1 Docs
- SKILL.md