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Skills/parcadei/continuous-claude-v3/math
math logo

math

parcadei/continuous-claude-v3
696 installs4K stars
Run it on Hostinger, 20% off →Your friend gets 20% off too, using this linkFree API →|Command ExecutionPrompt Injection|View on GitHub|Create your own skill →

Installation

npx skills add https://github.com/parcadei/continuous-claude-v3 --skill math

Summary

Unified math capabilities - computation, solving, and explanation. I route to the right tool.

SKILL.md

/math - Unified Math Capabilities

One entry point for all computation and explanation. I route to the right tool based on your request.

For formal proofs, use /prove instead.

---

Quick Examples

You SayI Use
"Solve x² - 4 = 0"SymPy solve
"Integrate sin(x) from 0 to π"SymPy integrate
"Eigenvalues of [[1,2],[3,4]]"SymPy eigenvalues
"Is x² + 1 > 0 for all x?"Z3 prove
"Convert 5 miles to km"Pint
"Explain what a functor is"Category theory skill

---

Computation Scripts

SymPy (Symbolic Math)

uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/sympy_compute.py" <command> <args>
CommandDescriptionExample
solveSolve equationssolve "x**2 - 4" --var x
integrateDefinite/indefinite integralintegrate "sin(x)" --var x --lower 0 --upper pi
diffDerivativediff "x**3" --var x
simplifySimplify expressionsimplify "sin(x)2 + cos(x)2"
limitCompute limitlimit "sin(x)/x" --var x --point 0
seriesTaylor expansionseries "exp(x)" --var x --point 0 --n 5
dsolveSolve ODEdsolve "f''(x) + f(x)" --func f --var x
laplaceLaplace transformlaplace "sin(t)" --var t

Matrix Operations: | Command | Description | |---------|-------------| | det | Determinant | | eigenvalues | Eigenvalues | | eigenvectors | Eigenvectors with multiplicities | | inverse | Matrix inverse | | transpose | Transpose | | rref | Row echelon form | | rank | Matrix rank | | nullspace | Null space basis | | linsolve | Linear system Ax=b | | charpoly | Characteristic polynomial |

Number Theory: | Command | Description | |---------|-------------| | factor | Factor polynomial | | factorint | Prime factorization | | isprime | Primality test | | gcd | Greatest common divisor | | lcm | Least common multiple | | modinverse | Modular inverse |

Combinatorics: | Command | Description | |---------|-------------| | binomial | C(n,k) | | factorial | n! | | permutation | P(n,k) | | partition | Integer partitions p(n) | | catalan | Catalan numbers | | bell | Bell numbers |

---

Z3 (Constraint Solving)

uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/z3_solve.py" <command> <args>
CommandUse Case
satIs this satisfiable?
proveIs this always true?
optimizeFind min/max subject to constraints

---

Pint (Units)

uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/pint_compute.py" convert <value> <from_unit> <to_unit>

Example: convert 5 miles kilometers

---

Math Router (Auto-Route)

uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/math_router.py" route "<natural language request>"

Returns the exact command to run. Use when unsure which script.

---

Topic Skills (For Explanation)

When the request is "explain X" or "what is X", I reference these:

TopicSkill LocationKey Concepts
Abstract Algebramath/abstract-algebra/Groups, rings, fields, homomorphisms
Category Theorymath/category-theory/Functors, natural transformations, limits
Complex Analysismath/complex-analysis/Analytic functions, residues, contour integrals
Functional Analysismath/functional-analysis/Banach spaces, operators, spectra
Linear Algebramath/linear-algebra/Matrices, eigenspaces, decompositions
Mathematical Logicmath/mathematical-logic/Propositional, predicate, proof theory
Measure Theorymath/measure-theory/Lebesgue, σ-algebras, integration
Real Analysismath/real-analysis/Limits, continuity, convergence
Topologymath/topology/Open sets, compactness, connectedness
ODEs/PDEsmath/odes-pdes/Differential equations, boundary problems
Optimizationmath/optimization/Convex, LP, gradient methods
Numerical Methodsmath/numerical-methods/Approximation, error analysis
Graph/Number Theorymath/graph-number-theory/Graphs, primes, modular arithmetic
Information Theorymath/information-theory/Entropy, coding, channels

---

Routing Logic

I decide based on your request:

"solve/calculate/compute" → SymPy (exact symbolic)
"is X always true?" → Z3 (constraint proving)
"convert units" → Pint
"explain/what is" → Topic skill for context
"prove formally" → Redirect to /prove

---

Examples

Solve Equation

User: Solve x² - 5x + 6 = 0
Claude: uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/sympy_compute.py" solve "x**2 - 5*x + 6" --var x
Result: x = 2 or x = 3

Compute Eigenvalues

User: Find eigenvalues of [[2, 1], [1, 2]]
Claude: uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/sympy_compute.py" eigenvalues "[[2,1],[1,2]]"
Result: {1: 1, 3: 1}  (eigenvalue 1 with multiplicity 1, eigenvalue 3 with multiplicity 1)

Prove Inequality

User: Is x² + y² ≥ 2xy always true?
Claude: uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/z3_solve.py" prove "x**2 + y**2 >= 2*x*y"
Result: PROVED (equivalent to (x-y)² ≥ 0)

Convert Units

User: How many kilometers in 26.2 miles?
Claude: uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/pint_compute.py" convert 26.2 miles kilometers
Result: 42.16 km

---

When to Use /prove Instead

Use /prove when you need:

  • Machine-verified formal proof (Lean 4)
  • Category theory proofs (functors, Yoneda, etc.)
  • Publication-quality verification
  • Abstract algebra proofs

/math is for computation. /prove is for verification.

Score

0–100
65/ 100

Grade

C

Popularity17/30

696 installs — growing adoption. Source repo has 3,811 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Math skill score badge previewScore badge

Markdown

[![Math skill](https://www.claudemarket.ai/skills/parcadei/continuous-claude-v3/math/badges/score.svg)](https://www.claudemarket.ai/skills/parcadei/continuous-claude-v3/math)

HTML

<a href="https://www.claudemarket.ai/skills/parcadei/continuous-claude-v3/math"><img src="https://www.claudemarket.ai/skills/parcadei/continuous-claude-v3/math/badges/score.svg" alt="Math skill"/></a>

Math FAQ

How do I install the Math skill?

Run “npx skills add https://github.com/parcadei/continuous-claude-v3 --skill math” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Math skill do?

Unified math capabilities - computation, solving, and explanation. I route to the right tool. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Math skill free?

Yes. Math is a free, open-source skill published from parcadei/continuous-claude-v3. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Math work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Math works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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