Agent skill

first-order-odes

Problem-solving strategies for first order odes in odes pdes

parcadei3,879★ · 1 repos on radarProfile →
claude-codecan modify filesMIT
Install
npx skills add parcadei/Continuous-Claude-v3 --skill first-order-odes --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Allowed tools: BashRead
Path: .claude/skills/math/odes-pdes/first-order-odes/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,885
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# First Order Odes ## When to Use Use this skill when working on first-order-odes problems in odes pdes. ## Decision Tree 1. **Classify the ODE** - Linear: y' + P(x)y = Q(x)? - Separable: y' = f(x)g(y)? - Exact: M(x,y)dx + N(x,y)dy = 0 with dM/dy = dN/dx? - Bernoulli: y' + P(x)y = Q(x)y^n? 2. **Select Solution Method** | Type | Method | |------|--------| | Separable | Separate and integrate | | Linear | Integrating factor e^{int P dx} | | Exact | Find potential function | | Bernoulli | Substitute v = y^{1-n} | 3. **Numerical Solution (IVP)** - `scipy.integrate.solve_ivp(f, [t0, tf], y0, method='RK45')` - For stiff systems: `method='Radau'` or `method='BDF'` - Adaptive step size: specify rtol/atol, not step size 4. **Verify Solution** - Substitute back into ODE - Check initial/boundary conditions - `sympy_compute.py dsolve "y' + y = x" --ics "{y(0): 1}"` 5. **Phase Portrait (Autonomous)** - Find equilibria: f(y*) = 0 - Analyze stability: sign of f'(y*) - `z3_solve.py solve "dy/dt == 0"` ## Tool Commands ### Scipy_Solve_Ivp ```bash uv run python -c "from scipy.integrate import solve_ivp; sol = solve_ivp(lambda t, y: -y, [0, 5], [1]); print('y(5) =', sol.y[0][-1])" ``` ### Sympy_Dsolv

What's inside
Steps it walks through
  1. When to Use
  2. Decision Tree
  3. Tool Commands
  4. ScipySolveIvp
  5. SympyDsolve
  6. Z3Equilibrium
  7. Key Techniques
  8. Cognitive Tools Reference
Commands it runs
uv run python -c "from scipy.integrate import solve_ivp; sol = solve_ivp(lambda t, y: -y, [0, 5], [1]); print('y(5) =', sol.y[0][-1])"
uv run python -m runtime.harness scripts/sympy_compute.py dsolve "Derivative(y,x) + y" --ics "{y(0): 1}"
uv run python -m runtime.harness scripts/z3_solve.py solve "f(y_star) == 0"
More from Continuous-Claude-v3
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About this skill
What does the first-order-odes skill do?

Problem-solving strategies for first order odes in odes pdes

How do I install it?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill first-order-odes --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From parcadei/Continuous-Claude-v3, a repository with 3,885 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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