open-ralph-wiggum
Runs an autonomous agent loop that repeats a task with self-correction, task tracking and live monitoring, so a coding assistant keeps working until the job is finished. Works with Claude Code, OpenCode, Codex and GitHub Copilot.
Runs an autonomous agent loop that repeats a task with self-correction, task tracking and live monitoring, so a coding assistant keeps working until the job is finished. Works with Claude Code, OpenCode, Codex and GitHub Copilot.
Skills for orchestrating AI agents on long-running coding work in isolated workspaces. They cover splitting work across parallel workers, advising a stuck executor, and monitoring multi-day missions with model switching.
When and how a mission should rent boat.dev managed VMs: whether to use one at all, size choice, one warm snapshot per project,…
Autonomy contract and routing index for autonomous project controllers. Loaded every tick; carries the rules that must survive…
How Hermes monitors and steers long-running sandboxed.sh missions (days to weeks): diagnose where a model is struggling, switch…
Use this skill whenever a user wants to run, install, configure, or understand open-ralph-wiggum (ralph). This skill can be used…
Persistent read-only advisor mission. Build a mental map of the repository once, then answer the executor's questions concisely…
Boss skill for parallel worker orchestration. Analyze, split, delegate by outcome, judge by acceptance criteria, integrate. Do…
Executor skill: do the work yourself, and consult a single persistent smart-model advisor via ask_worker when you hit a dead end.
Worker skill for boss-spawned missions. Stay within scope, verify, and report blockers quickly.
Steer sandboxed.sh projects, roadmaps, decisions from chat.
Delegate coding/automation tasks to sandboxed.sh missions via the mcp_sandboxed_assistant_* MCP. Each mission runs in an isolated…
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