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Xcode MCP tools are accessed via mcporter CLI

which bridges MCP servers to standard command-line tools. This skill defines when to use Xcode MCP and when to prefer standard tools.

xcode-mcp (for pi agent)

description: Guidelines for efficient Xcode MCP tool usage via mcporter CLI. This skill should be us...

test

- Generate infographics

including graphs and pie charts

code generation for online assessments

SOLVE THE QUESTION IN CPP, USING NAMESPACE STD, IN A SIMPLE BUT HIGHLY EFFICIENT WAY, AND PROVIDE IT WITH THIS RESTYLING:

Improve

What's the single smartest and most radically innovative and accretive and useful and compelling addition you could make to the project at this point?

Start every task by restating requirements

constraints

- Never rewrite

delete

- Write clear user stories

acceptance criteria

I'm a political science PhD candidate who uses R regularly but would never call myself an R person....

without ggplot2

writeLines(template

out_file)

write.csv(df

%s_clean.csv

write.csv(df

data_clean.csv

- arrows: code = 1 (head at start)

code = 2 (head at end

- nstart > 1 recommended (e.g.

nstart = 25): runs algorithm from multiple random starts

- SANN (simulated annealing): convergence code is always 0 — it never fails. maxit = total function...

no other stopping criterion.

- Self-starting models (SSlogis

SSasymp

- aov is a wrapper around lm that stores extra info for balanced ANOVA. For unbalanced designs

Type I SS (sequential) are computed — order of terms matters.

- model.matrix creates the design matrix including dummy coding. Default contrasts: contr.treatment...

contr.poly for ordered.

- `URLencode(url

reserved = FALSE) by default does NOT encode reserved chars (/`

- `substr(x

start

- write.csv fixes `sep =

`

- as.numeric(f) returns integer codes

not original values. Use as.numeric(levels(f))[f] or as.numeric(as.character(f)).

- Factor indexing: x[f] uses integer codes of factor f

not its character labels. Use x[as.character(f)] for label-based indexing.