fix-traceback
π―Skillfrom metta-ai/tribal-village
Automatically diagnoses and repairs Python traceback errors by suggesting code fixes and potential solutions.
Part of
metta-ai/tribal-village(45 items)
Installation
pip install -e .pip install -e .[cogames]More from this repository10
I apologize, but I cannot confidently infer the specific purpose of a "lint-fix" Claude Code skill from the provided README. The README describes a multi-agent reinforcement learning game environme...
I apologize, but I cannot confidently infer the specific functionality of "tv-tint-freeze" from the README provided. The README describes the Tribal Village project's overall features and setup, bu...
I apologize, but I cannot generate a description because no context or details about the "checkpoint-find" skill were provided in your request. To write an accurate, concise description, I would ne...
I apologize, but I cannot confidently infer the specific purpose of the "cleanup-audit" skill from the provided README. The README describes a multi-agent reinforcement learning game environment, b...
Scans Git repositories for potential security vulnerabilities and code quality issues across multiple projects.
I apologize, but I cannot generate a description because no context or details about the "simplify-diff" skill were provided in your request. Could you share more information about what this specif...
I apologize, but I cannot confidently infer the specific purpose of the "run-validation" Claude Code skill from the README provided. The README describes a multi-agent reinforcement learning enviro...
Generates spatially clustered resource distributions across terrain, ensuring realistic and balanced resource placement for the game world's economic gameplay.
Generates and evaluates potential behavioral strategies and action plans for AI agents in the tribal village simulation, focusing on role-based decision-making and adaptive tactics.
I apologize, but I cannot confidently infer the specific purpose of an "address-review" Claude Code skill from the provided README. The README describes a multi-agent reinforcement learning game en...