PR review and merge automation for OpenClaw maintainers. Parallelized sub-steps using sub-subagents. Uses gpt (codex) for reasoning tasks and gpt-fast (codex-spark) for lightweight API/search tasks.
Quickly install openclaw-maintainer AI skill to your development environment via command line
Source: tyler6204/openclaw-maintainer-skill.
PR review + prep + merge automation with parallelized sub-steps. Uses two model tiers for cost/speed optimization:
This skill requires maxSpawnDepth >= 2 in the OpenClaw session configuration. The parallelism works like this:
If maxSpawnDepth is less than 2, sub-subagents will fail to spawn and the parallel phases will break. The skill will still work at depth 1 but will run everything serially in the parent subagent, which is slower.
PR review and merge automation for OpenClaw maintainers. Parallelized sub-steps using sub-subagents. Uses gpt (codex) for reasoning tasks and gpt-fast (codex-spark) for lightweight API/search tasks. Source: tyler6204/openclaw-maintainer-skill.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/tyler6204/openclaw-maintainer-skill --skill openclaw-maintainerPR review and merge automation for OpenClaw maintainers. Parallelized sub-steps using sub-subagents. Uses gpt (codex) for reasoning tasks and gpt-fast (codex-spark) for lightweight API/search tasks. Source: tyler6204/openclaw-maintainer-skill.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/tyler6204/openclaw-maintainer-skill --skill openclaw-maintainer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/tyler6204/openclaw-maintainer-skill