By berrzebb
Orchestrate AI-driven development cycles: plan features into tasks, distribute to headless agents for implementation, UI review, and verification; audit code with consensus checks, enforce quality gates on failures, manage git merges, and extract retrospectives from sessions.
npx claudepluginhub berrzebb/claude-plugins --plugin consensus-loopShortcut for /consensus-loop:guide — evidence writing guide
Shortcut for /consensus-loop:merge — squash-merge worktree branch
Shortcut for /consensus-loop:orchestrator — distribute tasks, manage agents
Shortcut for /consensus-loop:planner — design PRD, tracks, work breakdowns
Shortcut for /consensus-loop:retrospect — extract learnings, manage memories
Shortcut for /consensus-loop:tools — run deterministic analysis tools
Shortcut for /consensus-loop:verify — run done-criteria checks (CQ/T/CC/CL/S/I/FV/CV)
Shortcut for /consensus-loop:audit
Shortcut for /consensus-loop:status
Headless worker for quorum — receives task + context, implements code, runs tests, submits evidence to watch file, handles audit corrections. Use when the orchestrator needs to delegate a coding task to a worker agent.
Read this when implementing WB items that touch frontend code (`web/`, `src/dashboard/`, or UI components).
Read-only RTM generator — reads all track work-breakdowns, verifies each requirement against the actual codebase using deterministic tools, and produces 3 Requirements Traceability Matrices (Forward, Backward, Bidirectional). Use when the orchestrator needs to establish or update the RTM before distributing work.
Find UI issues that code-level analysis (scout, code_map, dependency_graph) cannot detect. Launches a real browser to check rendering, visual states, interactions, a11y, and runtime errors. Use after FE implementation to catch issues invisible to static analysis.
Run a consensus-loop audit manually — Codex reviews pending trigger_tag items in the watch file. Use when you want to trigger an audit without editing the watch file, re-run a failed audit, or test the audit prompt.
Extract learnings from audit history and conversation, manage memories, clean up stale entries. Use after completing a track, during retrospective (③ memory step), at end of session, or anytime the user wants memory maintenance. Triggers on 'what did we learn', 'memory cleanup', 'review learnings', 'retrospective', 'update memories', '회고', '메모리 정리'.
Guide for writing evidence packages for the consensus-loop watch file. Use when preparing code review submissions, structuring feedback evidence, or addressing audit rejections.
Run consensus-loop deterministic analysis tools via CLI — code_map, dependency_graph, audit_scan, coverage_map, rtm_parse, rtm_merge, audit_history, fvm_generate, fvm_validate. Use this skill whenever you need codebase analysis (symbol index, dependency DAG, pattern scan, coverage), RTM operations (parse, merge, query), or FVM operations (generate matrix, validate against server) — even if the MCP server is not configured. This skill replaces mcp__plugin_consensus-loop_consensus-loop__* tool calls with equivalent CLI commands.
Squash-merge a worktree branch into the target branch with a structured commit message. Use after audit consensus and retrospective completion.
Session orchestrator for the consensus-loop — reads handoff, picks unblocked tasks, distributes to parallel workers, tracks agent assignments, manages correction cycles via SendMessage. Use when starting a work session with pending tasks, distributing implementation work, or reviewing completed worker output.
Design tasks into tracks with work breakdowns and execution order. Also writes and maintains PRDs (Product Requirements Documents) — when a user requests a feature, analyzes it, adds it to the PRD, then decomposes into work breakdowns. Use for new feature planning, PRD writing, architecture changes, multi-track decomposition, requirements analysis, or adjusting existing execution plans. Trigger when user says things like 'add feature X', 'I need Y', 'plan Z', or describes any product requirement.
Show current consensus-loop status — pending reviews, audit state, retro marker, agent assignments. Use to check what's happening before starting work or after returning from a break.
Run all done-criteria checks (CQ/T/CC/CL/S/I/FV/CV) and produce a pass/fail verification report. Use after implementing code, before submitting evidence to the quorum audit.
Complete collection of battle-tested Claude Code configs from an Anthropic hackathon winner - agents, skills, hooks, rules, and legacy command shims evolved over 10+ months of intensive daily use
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Complete developer toolkit for Claude Code
Orchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams
Comprehensive toolkit for developing Claude Code plugins. Includes 7 expert skills covering hooks, MCP integration, commands, agents, and best practices. AI-assisted plugin creation and validation.
Uses Bash, Write, or Edit tools