ralph-loop-yylo – skill Khác cho agent AI

Execute one assigned task in the Ralph loop

Read [references/implement.md](references/implement.md) completely and follow it.

Stay within the assigned task. Do not select unrelated work, edit tasks.md, auto-tag releases, push, deploy, mutate production, or broaden scope because another issue is noticed. Record a bounded related Kanban follow-up when necessary.

Keep durable instructions concise and evidence-backed. Status belongs in the task response and runtime receipts, not AGENTS.md.

Controller checkpoints are best-effort local durability warnings after terminal metadata is durable. They never gate yy pi, yy task, yy merge, product commits, candidates, or releases.

Complete assigned request

Treat the following as the complete user-assigned request. Preserve task references and directives literally; resolve them only through the normal agent workflow.

$ARGUMENTS

When to Use

• The user explicitly requests ralph-loop-yylo for one already-assigned YYLO Ledger task.
• You need to implement exactly that task through the validated loop to a queued, review-ready commit.

Limitations

• Exactly one assigned task per run: never select unrelated work, broaden scope, push, deploy, merge, release, or mutate production.
• Requires yy task start TASK_ID admission and yy task finish TASK_ID closure; stop after queueing - only the target owner runs yy merge land.
• Docs-only import: the upstream scripts/kanban.sh wrapper is intentionally not bundled; references/ holds the worker contract.
• Controller checkpoints are best-effort durability warnings, never lifecycle gates.

Example

yy task start TASK_ID
yy task preflight TASK_ID
yy task finish TASK_ID

> Adapted from [yylo-dev/yylo-skills](https://github.com/yylo-dev/yylo-skills) (MIT) - v2.0.1; frontmatter, When to Use/Limitations, and safety boundaries added for upstream compliance. Docs-only import: scripts/kanban.sh runtime not bundled.