categories-functors

Problem-solving strategies for categories functors in category theory

422 stars

Best use case

categories-functors is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Problem-solving strategies for categories functors in category theory

Teams using categories-functors should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/categories-functors/SKILL.md --create-dirs "https://raw.githubusercontent.com/vibeeval/vibecosystem/main/skills/math/category-theory/categories-functors/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/categories-functors/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How categories-functors Compares

Feature / Agentcategories-functorsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Problem-solving strategies for categories functors in category theory

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Categories Functors

## When to Use

Use this skill when working on categories-functors problems in category theory.

## Decision Tree


1. **Verify Category Axioms**
   - Objects and morphisms (arrows) defined?
   - Identity morphism for each object: id_A: A -> A
   - Composition associative: (f . g) . h = f . (g . h)
   - Write Lean 4: `theorem assoc : (f ≫ g) ≫ h = f ≫ (g ≫ h) := Category.assoc`

2. **Check Functor Properties**
   - F: C -> D maps objects to objects, arrows to arrows
   - Preserves identity: F(id_A) = id_{F(A)}
   - Preserves composition: F(g . f) = F(g) . F(f)
   - Write Lean 4: `theorem comp : F.map (g ≫ f) = F.map g ≫ F.map f := F.map_comp`

3. **Functor Types**
   - Covariant: preserves arrow direction
   - Contravariant: reverses arrow direction
   - Faithful/Full: injective/surjective on Hom-sets
   - Equivalence: full, faithful, essentially surjective

4. **Common Functors**
   - Forgetful functor: forgets structure (e.g., Grp -> Set)
   - Free functor: left adjoint to forgetful
   - Hom functor: Hom(A, -) or Hom(-, B)
   - Power set functor: Set -> Set via X |-> P(X)

5. **Verify with Lean 4**
   - Compiler-in-the-loop: write proof, `lake build` checks
   - Mathlib has full category theory library
   - See: `.claude/skills/lean4-functors/SKILL.md` for exact syntax


## Tool Commands

### Lean4_Category
```bash
# Lean 4 with Mathlib: import CategoryTheory.Category.Basic
```

### Lean4_Functor
```bash
# Lean 4: theorem map_comp (F : C ⥤ D) : F.map (g ≫ f) = F.map g ≫ F.map f := F.map_comp
```

### Lean4_Build
```bash
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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