rube-de

Consult external AI council (Gemini 3.5 Flash, Codex, Qwen, GLM-5.2, 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.

Council review reference data — expertise weights, structured response format, scoring thresholds, and false positive taxonomy. Background knowledge for council subagents.

Audit review checklist for a repo: cluster recurring review-comment themes across merged PRs in a window, diff against docs/code-review-checklist.md, and open a PR proposing new entries with PR traceability. Designed for /schedule monthly cadence. Pass --dry-run to print clusters without opening a PR. Trigger phrases: audit review checklist, update review checklist, cluster PR findings.

Multi-agent development workflow using Agent Teams. Supports five modes: plan (architect teammate + PM teammate debate → plan.md), dev (developer teammate + code-tester teammate + qa-tester teammate + reviewer teammate iterate → code), full (plan → approval gate → dev), auto (plan → dev, no gate), and bugfix (tester + developer + reviewer TDD triad → fix + PR). Use when tasks benefit from collaborative agent teammates with peer messaging.

You MUST use this skill before /pm when work is ambiguous, scope is unclear, or multiple approaches exist. Explores problem space, proposes 2-3 approaches with trade-offs, and produces an approved spec document that feeds into both issue creation (/pm) and implementation planning (/cdt). Triggers: brainstorm, explore idea, think through, design approach, what should we build, explore options, weigh approaches, compare solutions, needs help deciding between alternatives.

Triage open GitHub issues and recommend what to work on next. Builds a dependency graph from issue bodies, detects circular dependencies, ranks unblocked issues by weighted scoring (blocks-others, priority, type, age, milestone), and presents top candidates for interactive selection. Triggers: what should I work on next, triage backlog, next issue, pick next task, recommend issue, prioritize issues.

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, review issue, brainstorm, explore idea, think through, pm.

Validate plugin SKILL.md frontmatter and audit hook scripts for silent failures. Run validation to check all plugins pass schema, source path, and frontmatter checks. Run hook audit to detect unhandled errors in shell and Python scripts.

Multi-agent development workflow using Agent Teams. Supports four modes: plan (architect + PM debate → plan.md), dev (developer + tester + reviewer iterate → code), full (plan → approval gate → dev), and auto (plan → dev, no gate). Use when tasks benefit from collaborative agent roles with peer messaging.

Council review reference data — expertise weights, structured response format, scoring thresholds, and false positive taxonomy. Background knowledge for council subagents.

Consult external AI council (Gemini, Codex, Qwen, GLM-4.7) 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".

Interactive issue creation optimized for LLM agent teams. Guides users through type-specific question flows (bug, feature, epic, refactor, new project, chore, research spike) and produces structured, machine-parseable GitHub issues that AI coding agents can execute autonomously. Triggers: create issue, plan work, new task, project manager, write ticket, draft issue, plan feature, plan project, start project, create ticket, pm.

Operate TickTick or Dida365 through the agent-first `tt` command-line interface. Use when an agent needs to inspect, create, edit, complete, organize, search, sync, or report on tasks, projects, tags, habits, focus records, calendar data, profiles, or CLI authentication - even if the request doesn't name TickTick or Dida365, e.g. 'add this to my to-do list', 'mark that done', or 'log a pomodoro'.