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

DeepseekModel キュレーション済みスキル 品質 優秀 · 90 v1.0.0

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ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name math description Unified math capabilities - computation, solving, and explanation. I route to the right tool. triggers ["calculate","compute","solve","integrate","derivative","eigenvalue","matrix","simplify","factor","limit","series","differential equation","unit convert","explain","what is","how does"] allowed-tools ["Bash","Read","Write"] 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 Say I 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> Command Description Example solve Solve equations solve "x**2 - 4" --var x integrate Definite/indefinite integral integrate "sin(x)" --var x --lower 0 --upper pi diff Derivative diff "x**3" --var x simplify Simplify expression simplify "sin(x)**2 + cos(x)**2" limit Compute limit limit "sin(x)/x" --var x --point 0 series Taylor expansion series "exp(x)" --var x --point 0 --n 5 dsolve Solve ODE dsolve "f''(x) + f(x)" --func f --var x laplace Laplace transform laplace "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> Command Use Case sat Is this satisfiable? prove Is this always true? optimize Find 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 " $CLAUDE_PROJECT_DIR /.claude/scripts/cc_math/math_router.py" route "<natural language request>" Returns the exact command to run. Use when unsure which script. Topic Skills (For Explanation) When the request is "explain X" or "what is X", I reference these: Topic Skill Location Key Concepts Abstract Algebra math/abstract-algebra/ Groups, rings, fields, homomorphisms Category Theory math/category-theory/ Functors, natural transformations, limits Complex Analysis math/complex-analysis/ Analytic functions, residues, contour integrals Functional Analysis math/functional-analysis/ Banach spaces, operators, spectra Linear Algebra math/linear-algebra/ Matrices, eigenspaces, decompositions Mathematical Logic math/mathematical-logic/ Propositional, predicate, proof theory Measure Theory math/measure-theory/ Lebesgue, σ-algebras, integration Real Analysis math/real-analysis/ Limits, continuity, convergence Topology math/topology/ Open sets, compactness, connectedness ODEs/PDEs math/odes-pdes/ Differential equations, boundary problems Optimization math/optimization/ Convex, LP, gradient methods Numerical Methods math/numerical-methods/ Approximation, error analysis Graph/Number Theory math/graph-number-theory/ Graphs, primes, modular arithmetic Information Theory math/information-theory/ Entropy, coding, channels Routing Logic I decide based on your request: "solve/calculate/compute" → SymPy (exact symbolic) "is X always true?" → Z3 (constraint proving) "convert units" → Pint "explain/what is" → Topic skill for context "prove formally" → Redirect to /prove Examples Solve Equation User: Solve x² - 5x + 6 = 0 Claude: uv run python "$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.
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ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

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