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limits-colimits

limits-colimits

Problem-solving strategies for limits colimits in category theory

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: limits-colimits description: "Problem-solving strategies for limits colimits in category theory" allowed-tools: [Bash, Read]

Limits Colimits

When to Use

Use this skill when working on limits-colimits problems in category theory.

Decision Tree

  1. Identify Limit Type

    • Product: limit of discrete diagram
    • Equalizer: limit of parallel pair f, g: A -> B
    • Pullback: limit of A -> C <- B
    • Terminal object: limit of empty diagram
    • Lean 4: CategoryTheory.Limits namespace
  2. Verify Universal Property

    • Cone from L with projections pi_i: L -> D_i
    • For any cone from X, unique morphism u: X -> L
    • Triangles commute: pi_i . u = cone_i
    • Lean 4: IsLimit.lift gives the unique morphism
  3. Colimit (Dual)

    • Coproduct: colimit of discrete diagram
    • Coequalizer: colimit of parallel pair
    • Pushout: colimit of A <- C -> B
    • Initial object: colimit of empty diagram
  4. Compute Limits Concretely

    • In Set: product = Cartesian product
    • Equalizer = {x | f(x) = g(x)}
    • Pullback = {(a,b) | f(a) = g(b)}
    • sympy_compute.py solve "f(a) == g(b)"
  5. Preservation

    • Right adjoint preserves limits
    • Left adjoint preserves colimits
    • Representable functors preserve limits
    • Lean 4: Adjunction.rightAdjointPreservesLimits
    • See: .claude/skills/lean4-limits/SKILL.md for exact syntax

Tool Commands

Lean4_Limit

# Lean 4: import CategoryTheory.Limits.Shapes.Products

Lean4_Universal

# Lean 4: IsLimit.lift cone -- unique morphism from universal property

Sympy_Pullback

uv run python -m runtime.harness scripts/sympy_compute.py solve "f(a) == g(b)"

Lean4_Build

lake build  # Compiler-in-the-loop verification

Cognitive Tools Reference

See .claude/skills/math-mode/SKILL.md for full tool documentation.

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