Asi weighted-limit

Weighted (co)limits: J-indexed diagrams.

install
source · Clone the upstream repo
git clone https://github.com/plurigrid/asi
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/plurigrid/asi "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/weighted-limit" ~/.claude/skills/plurigrid-asi-weighted-limit && rm -rf "$T"
manifest: skills/weighted-limit/SKILL.md
source content

W: Weighted Limit

Weighted (co)limits: J-indexed diagrams.

Directory Tree

weighted-limit/
├── SKILL.md
├── enriched/
├── tensor-cotensor.nb

GF(3) Assignment

Letter W → trit = 0

Integration

(define (weighted_limit x)
  ;; Weighted (co)limits: J-indexed diagrams.
  x)

Autopoietic Marginalia

The interaction IS the skill improving itself.

Every use of this skill is an opportunity for worlding:

  • MEMORY (-1): Record what was learned
  • REMEMBERING (0): Connect patterns to other skills
  • WORLDING (+1): Evolve the skill based on use

Add Interaction Exemplars here as the skill is used.