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Problem-solving strategies for second order odes in odes pdes
Passed 22 of 22 test cases with the skill, and 19 of 22 without it.
3 fixed19 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
What CLI tool call computes the roots of the quadratic polynomial r^2 + 4r + 13 = 0 using a SymPy evaluation harness?
| Checked | Without skill | With skill |
|---|---|---|
| Calls sympy_compute.py solve with target variable r specified | Missed | Passed |
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Use this skill when working on second-order-odes problems in odes pdes.
Classify the ODE
Homogeneous with Constant Coefficients
sympy_compute.py solve "a*r**2 + b*r + c" --var rParticular Solution (Non-homogeneous)
sympy_compute.py dsolve "y'' + y = sin(x)"Numerical Solution
solve_ivp(system, [t0, tf], [y0, v0])Boundary Value Problems
scipy.integrate.solve_bvp(ode, bc, x, y_init)uv run python -c "from scipy.integrate import solve_ivp; sol = solve_ivp(lambda t, Y: [Y[1], -Y[0]], [0, 10], [1, 0]); print('y(10) =', sol.y[0][-1])"
test cases passed, vs 19 / 22 without
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