Build with Models — Skills, Agents, Repo

Drop-in specs for coding agents. MIT. Original text only — no book pages or figures.

skills/many-model-selector

name: many-model-selector
pick: 3-5 families, max diversity
check: [tails, incentives, contagion]
output: lattice + hedge where they disagree

skills/redcape-reasoner

for task in [R,E,D,C,A,P,E]:
  apply 1 model, note failure mode
stop when 2 models disagree
that disagreement = the insight

skills/distribution-checker

if loglog-straight: power-law, never average
elif bell: normal, predict intervals
else: mixture, segment first

Try it: opioid prompt (paste into any agent)

Apply 3 models to opioid approvals: Bandit + Markov + Dynamics. Hedge.

Expected: trial arms + transition matrix + loop map. Full markdown specs live in /skills and /agent-skills next to this Next.js app.

datamodellib/
  app/ library/ model/[id]/ playbooks/ mentor/ skills/ api/models+mentor/
  app/@modal/(.)model/[id]/  <- card clicks open modals
  lib/models.ts  <- 33 original summaries, expandable
  skills/ agent-skills/  <- agent drop-in specs
  .opencode/  <- model-mentor agent, model-library skill, explain-model command