pydantic-encryption

Coordinate one authorized task across a bounded collection of local repositories while preserving unrelated work. Use when a task spans repositories to apply a scoped change, run the same review or validation, or collect and merge information into one result.

Propagate explicitly requested skills, rules, and their changes across the user's other local repositories, creating missing applicable copies while preserving repository-specific guidance. Use when the user invokes /propagate-skill or $propagate-skill alongside a skill or rule creation or update request.

Run code-simplify once across the whole selected pull-request target, then run code-review repeatedly, investigate and fix every legitimate functional finding, validate and push the fixes, and stop only after two consecutive rounds with no functional findings (or a third when the second also makes simplifications). Any functional finding resets that stabilization sequence. Use when asked to review-and-fix, keep reviewing until clean, or run a code review loop.

Review the complete pull-request diff for the current branch with high-signal review lenses and severity-rated findings. When that diff is empty, review commits this Codex session created or pushed instead. Establish or update the branch and draft PR when needed, report findings in chat by default, never post GitHub review comments directly, and never fix findings. Use when asked to review a PR, review current changes, or run /code-review.

Find and watch a GitHub pull request for review findings, investigate each finding, fix and push legitimate issues, and stop once checks are green and review threads are resolved. Use when asked to watch, monitor, poll, babysit, or keep checking a PR for review comments or automated review feedback.

List the pull request URLs for every relevant pull request created or updated during the entire current session. Use when the user invokes /link-prs or $link-prs, or asks for links to pull requests created or updated during the session.

List the repository web URLs for every repository changed during the entire current session. Use when the user invokes /link-repo or $link-repo, or asks for links to all repositories touched, modified, committed, pushed, or otherwise changed during the session.

List and reconcile canonical rules across a bounded collection of local repositories. Use when the user asks which rules repositories have, where they occur, or whether a shared rule has conflicting language.

List and reconcile canonical skills across a bounded collection of local repositories. Use when the user asks which skills repositories have, where they occur, or whether a shared skill has conflicting language.

Common Python anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when debugging issues that might stem from known bad practices.

Upsert `.agents` source-of-truth files for agents, skills, or rules based on user input.

Strictly review the branch's changes for reuse, simplification, abstraction quality, and maintainability, then fix the issues. An ambitious code-quality pass that hunts for structural simplifications (code-judo moves), giant files, and spaghetti-condition growth.

Run a large-scale, whole-repository refactor — code simplification, slop and code-smell removal, de-duplication, and cross-module consistency — with behavior preserved and uncertain changes escalated to the user. Use when asked to refactor the codebase, clean up at scale, or consolidate duplicated logic.

Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.