Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Operate and maintain the persistent MUD agent for OpenClaw. Use when running MUD engine commands, smoke-testing mud state behavior, validating save/restore,...
Operate and maintain the persistent MUD agent for OpenClaw. Use when running MUD engine commands, smoke-testing mud state behavior, validating save/restore,...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Authors: agigui and lia Use this skill to run the local MUD engine safely and deterministically.
Locate the engine directory. Prefer C:\Users\openclaw\.openclaw\workspace-mud-dm\mud-agent Fallback: C:\Users\openclaw\.openclaw\workspace\mud-agent Run a smoke test with scripts/mud_cmd.py. Run requested MUD operations. Use references/ops.md and references/commands.md for runbook details.
python skills/mud/scripts/mud_cmd.py "<command>" Examples (current CLI engine): python skills/mud/scripts/mud_cmd.py "list-races" python skills/mud/scripts/mud_cmd.py "register-player --campaign demo --player u1 --name Hero" python skills/mud/scripts/mud_cmd.py "new-character --campaign demo --player u1 --name Rook --race human --char-class rogue" python skills/mud/scripts/mud_cmd.py "save --campaign demo" python skills/mud/scripts/mud_cmd.py "check-image-cooldown --campaign demo" python skills/mud/scripts/mud_cmd.py "generate-image --campaign demo --prompt \"A rain-soaked neon tavern\"" Legacy slash-command engine is auto-detected and still supported by the same wrapper.
Keep mechanics deterministic in engine code; use LLM for narration. Avoid hardcoded secrets/tokens in skill files. Image generation is available through engine commands (check-image-cooldown, record-image, generate-image) when the runtime image pipeline is configured. Keep this skill focused on operations and execution.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.