looplisted

# /loop — Iterative Improvement ## What It Does `/loop` runs the Algorithm in `mode: loop` — multiple full Algorithm cycles on the same target, each iteration building on the last. By default a human reviews and redirects between iterations. Unlike `/optimize` (an autonomous mutation loop), `/loop` runs full Algorithm passes with that human review in the seam. ## The Problem Some work doesn't finish in one pass. A skill, a prompt, a diagram, a piece of writing gets meaningfully better each time you run a full cycle on it — but only if each cycle remembers what the last one learned and what it already tried. Run the cycles by hand and you lose that thread: you re-explore dead ends, forget which approaches got rejected, and have no record of whether the score actually moved. `/loop` carries ISC criteria and a dead-ends ledger across iterations so each pass starts from where the last one ended. ## How It Works Each iteration is a full Algorithm cycle (OBSERVE → LEARN). The LEARN phase of one cycle feeds the OBSERVE phase of the next, the ISA tracks iteration count and cumulative improvements, and a human approves or redirects between iterations unless autoresearch mode is enabled. ## Invocation ``` /loop --target "path/to/target" --iterations 5 /loop --target "~/.claude/skills/Art/Workflows/TechnicalDiagrams.md" --goal "make diagrams more consistent" /loop --resume # Resume a previous loop /loop --status # Show iteration history ``` ## What Happens Each ite