Agent Skills Hub

self-reviewer

Implements an autonomous, critical self-verification layer for AI agents to validate code quality, security, and requirement alignment before task completion.

receiving-code-review

Rigorous, non-performative code review reception for AI agents, prioritizing technical verification and YAGNI over passive agreement.

skill-code-review

Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.

qc

Automated quality gate using 5 parallel AI agents to review code changes for correctness, style, and consistency.

pr-checks

Automate PR quality checks by reviewing CodeRabbit comments, validating PR descriptions, running pre-commit hooks, and executing test suites.

codex

Delegates coding tasks to the OpenAI Codex CLI for features, refactoring, PR reviews, and automated issue fixing within Git repositories.

pr-operations

Manage PR review workflows, resolve threads, and handle discussion comments using specialized erk exec commands.

read-only-gh-pr-review

Review backend pull requests with security enforcement and GitHub CLI integration in a strict read-only environment.

PR Workflow

Manage full PR lifecycles: auto-generate descriptions from commits, use work-type templates, handle review requests, and automate status updates.

code-review

Perform comprehensive code reviews with a focus on security vulnerabilities, performance optimization, maintainability, and code correctness.

session-reflection-analysis

Analyze Claude Code session history to identify inefficiencies, optimize token usage, and suggest workflow improvements.

code-review-expert

Expert code review agent that performs systematic audits of git changes for SOLID violations, security vulnerabilities, performance regressions, and architectural smells.