Run an autonomous coding session with safety constraints and structured handoff.
npx skills add https://github.com/GameDevFox/neko --skill all-nighter
Please help me install this Agent Skill. Skill: all-nighter Source: https://github.com/GameDevFox/neko/tree/main/claude/skills/all-nighter Command: npx skills add https://github.com/GameDevFox/neko --skill all-nighter
It reduces downtime when you are away by driving an end-to-end autonomous coding session that can scan the project, confirm scope, and produce a structured handoff summary when you return.
Invoke the skill explicitly with /all-nighter and answer the kickoff prompts to start an overnight autonomous coding session with an agreed plan and guardrails.
High-intent search queries and answers about installing and using this skill.
You set up an autonomous coding session by completing an interactive kickoff interview to define your primary goal, availability window, off-limits scope, and budget caps before the non-interactive execution phase begins safely.
Developer productivity automation safety guardrails include preventing remote pushes, blocking destructive git operations, avoiding user prompts, enforcing budget caps, and restricting access to off-limits paths during execution.
Yes, you can burn down backlog items during an autonomous coding session by confirming a layered plan during kickoff that includes Primary, Backlog, and Stretch goals alongside your main implementation objective.
Session logging for unattended git workflow automation writes a structured log containing a TL;DR, decisions, findings, cost ledger, and review checklist to provide an arrival handoff summary when you return.
Yes, autonomous coding enforces atomic local commits and explicitly prohibits remote pushes to ensure all repository-wide work remains safely local and reversible during your absence.
Scheduled continuation wake-ups trigger session resumption across invocations by utilizing structured logs, maintaining strict safety constraints without requiring user prompts throughout the autonomous execution phase.
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