oapply-colimit
oapply: Operad algebra evaluation via colimits. Composes machines/resource sharers.
Best use case
oapply-colimit is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
oapply: Operad algebra evaluation via colimits. Composes machines/resource sharers.
Teams using oapply-colimit 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/oapply-colimit/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How oapply-colimit Compares
| Feature / Agent | oapply-colimit | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
oapply: Operad algebra evaluation via colimits. Composes machines/resource sharers.
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
# oapply-colimit Skill
## Core Pattern
`oapply` computes **colimit** of component diagram over wiring pattern:
```julia
using AlgebraicDynamics
# Pattern + components → composite
composite = oapply(wiring_diagram, [machine1, machine2, ...])
```
## Two Composition Modes
| Mode | Type | Gluing | Example |
|------|------|--------|---------|
| **Undirected** | ResourceSharer | Pushout (shared state) | Lotka-Volterra |
| **Directed** | Machine | Wiring (signal flow) | Control systems |
## Implementation
```julia
function oapply(d::UndirectedWiringDiagram, xs::Vector{ResourceSharer})
# 1. Coproduct of state spaces
S = coproduct((FinSet ∘ nstates).(xs))
# 2. Pushout identifies shared variables
S′ = pushout(portmap, junctions)
# 3. Induced dynamics sum at junctions
return ResourceSharer(induced_interface, induced_dynamics)
end
```
## GF(3) Triads
```
schema-validation (-1) ⊗ acsets (0) ⊗ oapply-colimit (+1) = 0 ✓
interval-presheaf (-1) ⊗ algebraic-dynamics (0) ⊗ oapply-colimit (+1) = 0 ✓
```
## References
- Libkind "An Algebra of Resource Sharers" arXiv:2007.14442
- AlgebraicJulia/AlgebraicDynamics.jlRelated Skills
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