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vibecosystem

AI software team for Claude Code - 138 agents, 295 skills, 73 hooks. Self-learning, multi-agent swarm, autonomous skill evolution.

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Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

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/plugin marketplace add vibeeval/vibecosystem

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Ler descrição completa

Limits Colimits

When to Use

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

Decision Tree

  1. Identify Limit Type
  2. Product: limit of discrete diagram
  3. Equalizer: limit of parallel pair f, g: A -> B
  4. Pullback: limit of A -> C <- B
  5. Terminal object: limit of empty diagram
  6. Lean 4: CategoryTheory.Limits namespace
  1. Verify Universal Property
  2. Cone from L with projections pi_i: L -> D_i
  3. For any cone from X, unique morphism u: X -> L
  4. Triangles commute: pi_i . u = cone_i
  5. Lean 4: IsLimit.lift gives the unique morphism
  1. Colimit (Dual)
  2. Coproduct: colimit of discrete diagram
  3. Coequalizer: colimit of parallel pair
  4. Pushout: colimit of A <- C -> B
  5. Initial object: colimit of empty diagram
  1. Compute Limits Concretely
  2. In Set: product = Cartesian product
  3. Equalizer = {x | f(x) = g(x)}
  4. Pullback = {(a,b) | f(a) = g(b)}
  5. sympy_compute.py solve "f(a) == g(b)"
  1. Preservation
  2. Right adjoint preserves limits
  3. Left adjoint preserves colimits
  4. Representable functors preserve limits
  5. Lean 4: Adjunction.rightAdjointPreservesLimits
  6. 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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