csvance

name

kaimon-julia

description

Workflow guide for driving Julia projects through the Kaimon MCP server. Load this skill whenever working with Julia code in any capacity, including reading, writing, editing, or debugging .jl files, Project.toml/Manifest.toml, Julia REPL sessions, Pkg operations, Revise-based hot-reload workflows, or any Kaimon tool calls (start_session, ex, manage_repl, pkg_add, pkg_rm, check_eval, debug_exfiltrate, goto_definition, workspace_symbols). Kaimon is the preferred execution path for all Julia work in this repo.

Kaimon + Julia REPL Workflow

A reference for working a Julia project through the Kaimon MCP server. Covers session lifecycle, output management, Revise behavior, and the rough edges that cost the most round trips when you hit them blind.

1. Session lifecycle

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from typing import *
import abc


class ArgsMatcher(abc.ABC):
    @abc.abstractmethod
    def __call__(self, *args, **kwargs):
        raise NotImplementedError()

    def strength(self):

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import cv2
import numpy as np
import os

import imgaug as ia
from imgaug import augmenters as iaa

import tensorflow.keras as keras
from tensorflow.keras.losses import mean_absolute_error, mean_squared_error
from tensorflow.keras.models import Model

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import copy
import numpy as np
import sys
import time
import plac

class FrozenGraph(object):
    def __init__(self, model, shape):

        import tensorflow.keras as keras

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import keras
from keras.models import Model
from keras import backend as K
from keras.layers import Dense, Activation
import tensorflow as tf
from tensorflow.contrib import tensorrt as tftrt

import copy
import numpy as np
import sys

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<launch>
  <arg name="serial_no"           default=""/>
  <arg name="json_file_path"      default=""/>
  <arg name="camera"              default="camera"/>
  <arg name="tf_prefix"           default="$(arg camera)"/>

  <arg name="fisheye_width"       default="640"/>
  <arg name="fisheye_height"      default="480"/>
  <arg name="enable_fisheye"      default="true"/>

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clf
hold on
disp("Note: You must define the CX output as the general solution here after running one time for this code to work")
syms y(x) x d C2 C4

xrange = -5:0.1:5;
yrange = -10:0.1:10;

% Quiver
%ode = @(y, x) (x+2*y^2)/(2*y*x);

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import cv2

cap = cv2.VideoCapture(0)

final_frame = None
initial_frame = None

while True:
    # Capture frame-by-frame
    ret, frame = cap.read()

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syms t;
syms C;
syms y;
syms r;
syms y;
syms x;
syms Y;
syms X;

hw_problem = '2.1 #24';