By dsifry
Orchestrate multi-agent swarms with Claude Code, Gemini CLI, and Codex CLI to autonomously manage GitHub issues from brainstorming and design review through TDD implementation, adversarial code reviews, PR shepherding with CI fixes and feedback resolution, to production deployment with quality gates.
npx claudepluginhub dsifry/metaswarmInvoke the metaswarm brainstorming extension skill, which wraps `superpowers:brainstorming` with metaswarm's design review gate handoff.
Create a comprehensive, well-structured GitHub issue with embedded agent instructions for autonomous PR lifecycle management.
Check the status of external AI tools (Codex CLI, Gemini CLI) and their configuration.
Handle review comments on pull requests with appropriate responses and resolutions.
Interactive, Claude-guided setup for metaswarm in your project. Detects your stack, asks targeted questions, and customizes everything automatically.
Update metaswarm to the latest version, refresh component files, and re-detect project context.
Monitor a PR through to merge - handles CI failures, reviews, and thread resolution
Load relevant knowledge base facts into context before starting work
Run the design review gate on a design document to get feedback from Product Manager, Architect, Designer, Security Design, and CTO agents.
Extract learnings from recent PR reviews, conversations, and session patterns to update the knowledge base
Interactive project setup for metaswarm. Detects your project, configures metaswarm, and writes project-local files.
Determine task complexity and use appropriate workflow for efficient development.
Invoke the `/metaswarm:start-task` skill to handle this request. Pass along any arguments the user provided.
Show metaswarm diagnostic information.
Check for and apply metaswarm updates.
**Type**: `architect-agent`
**Type**: `code-review-agent`
**Type**: `coder-agent`
**Type**: `cto-agent`
**Type**: `customer-service-agent`
**Type**: `designer-agent`
**Type**: `issue-orchestrator`
**Type**: `learning-curator-agent`
**Type**: `metrics-agent`
**Type**: `pr-shepherd-agent`
**Type**: `product-manager-agent`
**Type**: `release-engineer-agent`
**Type**: `researcher-agent`
**Type**: `security-auditor-agent`
**Type**: `security-design-agent`
**Type**: `swarm-coordinator` (Slack interface specialization)
**Type**: `sre-agent`
Meta-orchestrator for the BEADS multi-agent swarm. Manages multiple GitHub Issues/BEADS epics in parallel, coordinates agent assignments, detects conflicts, and ensures efficient resource utilization across worktrees.
**Type**: `test-writer-agent`
Enforces design review gate after brainstorming — bridges superpowers:brainstorming into the metaswarm quality pipeline
Create comprehensive GitHub issues with TDD plans, acceptance criteria, and agent instructions for autonomous PR lifecycle management
Automatic review gate that runs after brainstorming completes - spawns PM, Architect, Designer, Security, and CTO agents in parallel, iterates until all approve
Delegate implementation and review tasks to external AI CLI tools (Codex, Gemini) with cross-model adversarial review
Address PR review feedback systematically — fetch inline comments, review bodies, handle outside-diff-range comments, resolve threads with proper attribution
Migrate from npm-installed metaswarm to the marketplace plugin — removes redundant files with safety checks
4-phase execution loop for work units - IMPLEMENT, VALIDATE, ADVERSARIAL REVIEW, COMMIT
Automatic adversarial review gate that spawns 3 independent reviewers in parallel after any plan is drafted - all must PASS before presenting to user
Monitor a PR through to merge — handle CI failures, review comments, and thread resolution automatically until all checks pass
Interactive project setup — detects your project, configures metaswarm, writes project-local files
Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work
Diagnostic status report — shows metaswarm installation state, project setup, and potential issues
Take screenshots of web pages and UI using Playwright for visual review and iteration
24 commands, 8 agents. Loops, swarms, and teams powered by Claude Code's built-in Task System. Native task dependencies, ctrl+t progress, automatic persistence.
Uses power tools
Uses Bash, Write, or Edit tools
Share bugs, ideas, or general feedback.
Portable Development System — AI-assisted development methodology with skills for consistency and agents for scale.
Self-orchestrating multi-agent development system — 8 specialized AI agents, parallel quality gates, and automated workflows. You say WHAT, the AI decides HOW.
Persona-driven AI development team: orchestrator, team agents, review agents, skills, slash commands, and advisory hooks for Claude Code
Long-running agent harness with 5-layer memory architecture, GitHub integration, autonomous batch processing, Agent Teams with ATDD, 9 hooks (safety, quality gates, team coordination), and 6 Agent Skills
Multi-agent task decomposition and coordination for Claude Code
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