rube-de

PR validity analysis: fetch PR diff, extract new code additions, search existing codebase for duplicate or overlapping implementations, classify changes, and create a structured GitHub issue.

Security scan: dependency audits, SAST analysis, and secret detection. Detects project type, runs available security tools, classifies findings by severity, and creates a structured GitHub issue.

Consult external AI council (Gemini 3.7 Flash, Codex, GLM-5.3, Kimi) for thorough reviews and consensus-driven decisions. Use ONLY when explicitly invoked with "/council" or when user says "consult the council", "invoke council", or "council review". Do NOT auto-trigger on generic phrases like "thorough review".

PR babysitter: monitors CI status, auto-rebases when behind, auto-fixes CI where possible, delegates review comment handling to dlc:pr-check, and re-requests review after fixes. Designed for /loop usage with Remote Control.

Manage secrets with Doppler: CLI operations, project/config/environment management, secrets injection, CI/CD integrations, and security best practices.

CI-optimized code review: multi-agent parallel review with confidence scoring and atomic GitHub PR review posting. Runs specialized review agents, scores findings, and submits a GitHub PR review via `post-review.sh`. Always executes `post-review.sh` to submit a review on every run (including zero-findings runs). Triggers: /ci-review, review PR, CI code review, automated PR review. Use: /ci-review

Test coverage analysis: detect test framework, run test suite, capture failures and coverage metrics, identify coverage gaps in recent changes, and create a structured GitHub issue.

Help developers use Temporal for durable execution workflows. Covers CLI commands, SDK patterns (Go, TypeScript, Python, Java), workflow orchestration, and architectural decisions.

Dev Life Cycle quality gates: run security scans, code quality checks, performance analysis, test coverage, and PR review compliance. Routes to domain-specific sub-skills or runs all checks in sequence.

Deep-validate a single GitHub issue against the codebase: cross-reference file paths, detect already-implemented features, check for related PRs, verify dependencies, and deliver a structured verdict with recommended action. Triggers: review issue, validate issue, check issue status, is this issue still needed, issue review.

Project manager for GitHub issues: brainstorm design approaches, create structured issues optimized for LLM agent teams, triage and recommend what to work on next, audit and clean up stale issues, or deep-validate a single issue against the codebase. Triggers: create issue, plan work, new task, project manager, write ticket, draft issue, plan feature, plan project, start project, create ticket, re

Performance analysis: bundle size checks, profiling, benchmarks, and algorithmic complexity review. Identifies performance-sensitive areas and creates a structured GitHub issue.