ai-moderation-challenge

Formats GitHub commit messages following Conventional Commits style with a title and optional description. Use when proposing or implementing code changes, writing commit messages, or when the user asks for commit message suggestions.

Commit current work by reviewing diffs, splitting into logical commits, and writing standardized messages. Use when the user says "commit", "commit this", "commit current work", or asks to create a git commit.

Retrieve up-to-date documentation for software libraries, frameworks, and components via the Context7 API. Use when looking up documentation for a programming library, verifying APIs, or obtaining current library examples.

Systematic evidence-based debugging using runtime logs or focused reproductions. Use when the user reports a bug, unexpected behavior, or asks to debug an issue.

Scan recent changes for AI-generated code slop and remove it. Use when the user says "deslop", "remove slop", "clean up AI code", or asks to remove AI-generated artifacts from the codebase.

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities.

Resolve all merge conflicts on the current branch non-interactively, validate the package, and commit. Use when the user says "fix merge conflicts", "resolve conflicts", or when git status shows conflicting files.

Orchestrates implementation of a multi-task plan by spawning plan-implementer subagents in parallel. Use when the user provides a plan file or plan text and asks to implement it, execute it, or says "implement plan".

Formats GitHub issue titles and descriptions for tracking problems that were fixed. Use when proposing or implementing code changes, creating GitHub issues, or when the user asks for issue suggestions.

Create a GitHub issue from recent changes, commit relevant diffs on a short-lived task branch, push that branch, and open a PR into master that will close the issue on merge. Use when the user says "make closed issue", "close issue", or wants a tracked, already-resolved GitHub issue for completed work.

Create or update README.md documentation for this package. Use when the user says "write readme", "create readme", "document this project", "project documentation", or asks for README help.

Perform a refactor pass focused on simplicity after recent changes. Use when the user asks for a refactor, cleanup pass, simplification, dead-code removal, or says "refactor pass".

Draft a concise release summary by analyzing commit titles since the last git tag. Use when the user asks to update release notes, prepare a release summary, or summarize changes for a version.

Prepare an ai-moderation-challenge release by analyzing commits, choosing a version bump, verifying the package, running release-it, and checking publish workflow expectations. Use when the user says "release", "new version", "cut a release", "prepare release", or provides a version number to ship.

Review an open GitHub pull request, inspect feedback from bots, CI, and human reviewers, implement valid fixes on the PR branch, merge when ready, and clean up local state. Use when the user says "check the PR", "address comments", "review PR feedback", or "merge this PR".