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Found 48002 skills
Metta-AI
Ensures a fixed number of goblin nests or hives are spawned per game map, maintaining consistent world generation.
Metta-AI
Provides quick scanning of Git repository state and commit history for developers.
Metta-AI
Executes standard local validation checks for the tribal-village project to ensure code quality and correctness.
UnaMentis
Enables parallel development sessions by managing Git worktrees specifically for Claude Code, streamlining codebase handling.
Metta-AI
Compares and aligns behavior between Nim and Python agent implementations to ensure parity during code porting or migration.
Metta-AI
Audits codebases to identify areas requiring cleanup and high complexity hotspots for improved maintainability.
Metta-AI
Analyzes error tracebacks to identify root causes and provides minimal, actionable code fixes with concise summaries.
Metta-AI
Splits code changes into a series of stacked pull requests with structured titles and descriptions for efficient code review and integration.
jukasdrj
Automates multi-provider API orchestration, D1 database operations, and KV caching for Cloudflare Workers backend development.
Metta-AI
Simplifies code diffs by making changes more concise without altering behavior.
Metta-AI
Eliminates unnecessary function definitions by inlining single-use helpers to reduce code indirection.
Metta-AI
Provides access to the core game loop and action handler management for game development projects.
Metta-AI
Adjusts biome and terrain distribution parameters for procedural world generation in games or simulations.
Metta-AI
Applies code review comments and provides specific change explanations for each feedback point.
Metta-AI
Automates lint error fixing by running autofix, resolving remaining issues, and summarizing changes for improved code quality.
jukasdrj
Guides developers on optimal PAL MCP tool usage for debugging, code review, planning, and complex problem-solving in software development workflows.
Metta-AI
Automates code cleanup by removing legacy shims and simplifying structure while preserving original behavior.
Metta-AI
Automates Git merge conflict resolution using repository-specific priority rules.
Metta-AI
Automates syncing a local Git branch with origin/main via fetch, merge/rebase, conflict resolution, and change summary.
Metta-AI
Debugs CoGames mission or variant regressions by comparing branch vs main, used when behavior changes or `cogames play` command regresses.
Metta-AI
Generates concise pull request titles and descriptions by analyzing branch-to-main diffs for code review clarity.
Metta-AI
Inspects in-game economy elements including inventory, stockpile, altars, hearts, and respawn logic for debugging and modding.
Metta-AI
Diagnoses pytest and CI failures, identifies root causes, and implements minimal code fixes to resolve test issues.
Metta-AI
Reviews branch changes against main using merge-base diff, providing prioritized findings, risks, and cleanup opportunities for code review.