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Use when you need exact symbolic math in Python — algebra, calculus, equation solving, symbolic linear algebra, or code generation via lambdify/LaTeX. Prefer NumPy or SciPy when floating-point approximations are sufficient.
Passed 25 of 25 test cases with the skill, and 24 of 25 without it.
1 fixed24 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
A test case the skill fixed. Same model, same prompt, with and without the skill.
I need to evaluate the exact symbolic expression sqrt(8) + pi to 50 decimal places of precision in Python. Write the code.
| Checked | Without skill | With skill |
|---|---|---|
| Calls evalf with precision parameter set to 50 | Missed | Passed |
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Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
Use this skill when:
sqrt(2) not 1.414...)from sympy import symbols, solve, sqrt
x = symbols('x')
solution = solve(x**2 - 5*x + 6, x)
# [2, 3]
from sympy import symbols, diff, sin
x = symbols('x')
f = sin(x**2)
df_dx = diff(f, x)
# 2*x*cos(x**2)
test cases passed, vs 24 / 25 without
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