Unified math capabilities - computation, solving, and explanation.

MITAuto-check: notesResearch & Science

Install Math

skills CLI
$ npx skills add parcadei/Continuous-Claude-v3 --skill math -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install parcadei/Continuous-Claude-v3 math --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/math-unified .claude/skills/math && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
math
GitHub stars
3.9k
Used in
3 other repos
Token cost
~1.6k tokens
SKILL.md length
436 words
Files
1
Skills in repo
141
Repo updated
First seen
Licence
MIT

At a glance

Unified math capabilities - computation, solving, and explanation.

  • Tasks that involve Math and symbolic computation
  • SKILL.md covers Quick Examples, Computation Scripts, Topic Skills (For Explanation) and Routing Logic, plus 2 more sections
  • Calls uv

What it does

Math is an agent skill from parcadei/Continuous-Claude-v3. Unified math capabilities - computation, solving, and explanation. I route to the right tool.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Math and symbolic computation. It works with SymPy. The repository describes itself as: Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows. The licence is MIT.

When your agent uses it

  • Tasks that involve Math and symbolic computation

Example prompts

  • “/math”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Bash, Read, Write

What it can do on your machine

Read from SKILL.md and the folder at commit d07ff4b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Write

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Math loads about 1.6k tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 436 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~25
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Write

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from parcadei/Continuous-Claude-v3 at commit d07ff4b, republished under its MIT licence (© parcadei). 436 words, ~1,558 tokens.

Download SKILL.mdSave it as .claude/skills/math/SKILL.md (or your agent's skills folder).
name
math
description
Unified math capabilities - computation, solving, and explanation. I route to the right tool.
allowed-tools
Bash, Read, Write
triggers
calculate, compute, solve, integrate, derivative, eigenvalue, matrix, simplify, factor, limit, series, differential equation, unit convert, explain, what is…
priority
high

/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)
bash
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:

CommandDescription
detDeterminant
eigenvaluesEigenvalues
eigenvectorsEigenvectors with multiplicities
inverseMatrix inverse
transposeTranspose
rrefRow echelon form
rankMatrix rank
nullspaceNull space basis
linsolveLinear system Ax=b
charpolyCharacteristic polynomial

Number Theory:

CommandDescription
factorFactor polynomial
factorintPrime factorization
isprimePrimality test
gcdGreatest common divisor
lcmLeast common multiple
modinverseModular inverse

Combinatorics:

CommandDescription
binomialC(n,k)
factorialn!
permutationP(n,k)
partitionInteger partitions p(n)
catalanCatalan numbers
bellBell numbers

Z3 (Constraint Solving)
bash
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)
bash
uv run python "$CLAUDE_PROJECT_DIR/.claude/scripts/cc_math/pint_compute.py" convert <value> <from_unit> <to_unit>

Example: convert 5 miles kilometers


Show full SKILL.md (178 more words)Show less
Math Router (Auto-Route)
bash
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.

© parcadei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/math-unified of parcadei/Continuous-Claude-v3.

Open the folder on GitHubat commit d07ff4b

Used in 3 other repositories

We found 9 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in parcadei/Continuous-Claude-v3, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Math next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Math compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Math this skillparcadei/Continuous-Claude-v33.9k3 repos~1.6kAutomated safety check: NotesMIT
SympyzLanqing/codex-claude-academic-skills4.6k16 repos~3.4kAutomated safety check: PassMIT
Edu Analytic Geometrywy51ai/edulab1.4k1 repos~1.6kAutomated safety check: PassApache-2.0
Edu Solid Geometrywy51ai/edulab1.4k1 repos~1.1kAutomated safety check: PassApache-2.0
Math Toolsananddtyagi/cc-marketplace6872 repos~1.3kAutomated safety check: PassNone
Edu Chem Reactionwy51ai/edulab1.4k—~1.2kAutomated safety check: PassApache-2.0

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Works with

Questions about Math

What does Math do?

Unified math capabilities - computation, solving, and explanation. Math is an agent skill from parcadei/Continuous-Claude-v3. Unified math capabilities - computation, solving, and explanation.

When should I use Math?

Math fits situations like: tasks that involve Math and symbolic computation.

How do I install Math in Claude Code?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill math -a claude-code`. Or copy the skill folder (.claude/skills/math-unified in parcadei/Continuous-Claude-v3) into .claude/skills/math in your project. Claude Code loads it when a task matches its description.

How do I install Math in Codex?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill math -a codex`. Or copy the skill folder (.claude/skills/math-unified in parcadei/Continuous-Claude-v3) into .agents/skills/math in your project. Codex loads it when a task matches its description.

Can I use Math in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add parcadei/Continuous-Claude-v3 --skill math -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/math, .gemini/skills/math, .github/skills/math and .opencode/skills/math in your project.

What does Math need to run?

Going by SKILL.md and its folder, Math needs the command-line tools its instructions call (uv). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash, Read, Write.

Does Math access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Math safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Math use?

Math is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Math use?

About 1.6k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Math?

Skills that share tags, products or a category with Math: Sympy (zLanqing/codex-claude-academic-skills, 4.6k stars), Edu Analytic Geometry (wy51ai/edulab, 1.4k stars), Edu Solid Geometry (wy51ai/edulab, 1.4k stars) and Math Tools (ananddtyagi/cc-marketplace, 687 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Math?

parcadei (a GitHub user) maintains it in parcadei/Continuous-Claude-v3, which has 3,940 GitHub stars. The repository holds 141 skills in this directory. The repository was last updated on January 26, 2026.

Source: parcadei/Continuous-Claude-v3 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.