Dallionking

Fable Prep — AI skill for Claude Code

AI community

Stage your hardest work now.

How to install Fable Prep

This entry records only its repository, not the path inside it, so there is no exact command to give. Open Dallionking/fable-prep and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Fable Prep does

Stage your hardest work now. One-shot it the moment your best model arrives. A Claude Code skill for frontier-model prep.

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README

fable-prep

**Stage your hardest work now. One-shot it the moment your best model arrives.**

Your most capable model is the chef you can only book for a few hours — and the booking may turn metered the instant it's back. You don't make that chef read the menu. You prep every station so it *only cooks*.

The edge of a frontier model isn't "only it can do this." Cheaper models are good. The edge is **round-collapse**: it one-shots what they reach only after rounds of iterate → review → fix. So you do the slow, cheap work — diagnosis, selection, sequencing, acceptance criteria, test scaffolds — *now*, on a cheaper model. You produce execution-ready packets. When the frontier model returns, you fire one loop and it **straight-executes with zero planning tax.**

One loop, two modes

detect frontier availability
 ├─ UNAVAILABLE → PLAN-MODE    diagnose repos → adversarially verify → rank → write a wave queue
 └─ LIVE        → EXECUTE-MODE  next wave → run packets → tiered gates → pause for your nod

It flips automatically on a sentinel file. No frontier access yet? It plans. Frontier live? It ships. Same command either way.

What makes the queue worth more than a TODO list

  • Ruthless selection, not a dump. A 500-item pile wastes a scarce model as badly as no prep. Each task is scored by rounds saved × ceiling lift; anything a cheaper model one-shots too is dropped from the queue.
  • Cross-domain. Code, design/UI, sales copy, marketing — anywhere a frontier model collapses rounds, not just hard engineering.
  • Execution-ready packets. Concrete files, exact operation, an acceptance criterion, and a machine_check shell oracle that proves done. No re-planning on expensive time.
  • Findings are adversarially verified before they enter the queue — no phantom work.
  • Safety rails built in. Never touches money/trading paths, archives instead of deleting, respects your branch policy, gates every commit, pauses at each wave boundary