Agent skill

limits-colimits

Problem-solving strategies for limits colimits in category theory

parcadei3,879★ · 1 repos on radarProfile →
claude-codecan modify filesMIT
Install
npx skills add parcadei/Continuous-Claude-v3 --skill limits-colimits --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Allowed tools: BashRead
Path: .claude/skills/math/category-theory/limits-colimits/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,879
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 ### L

What's inside
Steps it walks through
  1. When to Use
  2. Decision Tree
  3. Tool Commands
  4. Lean4Limit
  5. Lean4Universal
  6. SympyPullback
  7. Lean4Build
  8. Cognitive Tools Reference
Commands it runs
Lean 4: import CategoryTheory.Limits.Shapes.Products
Lean 4: IsLimit.lift cone -- unique morphism from universal property
uv run python -m runtime.harness scripts/sympy_compute.py solve "f(a) == g(b)"
lake build  # Compiler-in-the-loop verification
More from Continuous-Claude-v3
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About this skill
What does the limits-colimits skill do?

Problem-solving strategies for limits colimits in category theory

How do I install it?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill limits-colimits --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From parcadei/Continuous-Claude-v3, a repository with 3,879 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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