Multi-step workflows and automation patterns for Claude Code.
An autonomous coding agent system that runs multiple agents in parallel git worktrees simultaneously. Offers six purpose-built modes — greenfield, feature, refactor, fix, evolve, and security — plus CLI and Web UI with approval gates for human-in-the-loop control. A comprehensive swarm orchestration platform for large codebases.
vm0 runs workflows described in natural language automatically, bridging plain-English workflow descriptions and automated execution. Complements AI coding agents by making it easy to define and trigger multi-step processes without code.
A project that displays and queries downloaded Fitbit data, with the explicit goal of writing zero lines of code by hand. Documents the workflow as a case study in fully AI-driven development. Useful reference for those exploring how far vibe-coding can go on a complete personal project.
Claude Code's 5-hour limit is a sliding window — start it before you plan to work so it resets when you need it most. A companion repo (tappress/claude-code-warmup) provides a one-click Vercel deploy to automate the pre-warming with a cron job. Simple but effective workaround for interruptions during peak work hours.
Multi-agent system for generating high-quality AI prompts. Different agents analyze requirements, create prompts, review them, and optimize the final output. Useful for systematically improving prompts used in Claude Code workflows.
Workflow setup for using Claude Code to automate academic tasks including LaTeX document preparation, R scripts, and Quarto slide creation. Practical configuration for researchers and academics wanting AI-assisted academic writing pipelines.
Open-source Bash task runner that queues Claude Code sessions for unattended execution. Each task gets its own headless session, git branch, and automatic PR. Three-layer safety model: PreToolUse hooks blocking destructive ops, CLI constraints, and explicit mission briefs baked into every prompt.
AI-driven development pipeline that takes tickets and autonomously implements them using Claude Code. Bridges project management and code execution, shipping completed work directly from ticket to commit.
Runs parallel AI agents in isolated containers to coordinate code tasks across any project. Supports multiple AI providers and integrates with git for branch-per-agent isolation. Inspired by the swarm pattern for decomposing complex tasks.
A comprehensive practical guide compiled after weeks of testing Claude prompts, Claude Code workflows, and automation systems. Covers best prompts for real work, Claude Code-specific patterns, and productivity automation. Aimed at users who want to get more out of their Claude subscription.
An experiment in using ACP (Agent Communication Protocol) to spawn Claude Code CLI sessions on demand from within a separate software engineer assistant. When the outer agent needs Opus-level reasoning without storing OAuth tokens, it delegates to a fresh Claude Code process and waits for results. Interesting pattern for multi-agent orchestration.
A concise mental model for choosing the right Claude Code feature for each job: CLAUDE.md for persistent conventions, Skills for reusable multi-step docs, MCP for live data access, Subagents for parallel research, and Hooks for automatic side effects. Clears up a common confusion about when to use each tool.
A clean four-step workflow: design a screen in Figma, connect Claude Code to Figma via MCP, prompt it to build with Tailwind and Shadcn, then auto-generate design system docs. Eliminates the handoff gap between design and implementation. 700+ likes confirms this resonates widely.
A walkthrough of a maxed-out Claude Code setup: a tailored CLAUDE.md that encodes personal workflow preferences, Figma MCP for direct UI implementation from designs, and a hook that plays a sound notification when tasks complete. Shows how layering these features together creates a substantially different experience than using Claude Code out of the box.
A practical approach to showing Claude Code what correct code means in your specific codebase — not just code that compiles, but code that matches your team's patterns, conventions, and architecture. After a year of AI-assisted PRs still feeling wrong, the author built a system that teaches Claude your style. Solves one of the most common complaints about AI code review.
Google released a Workspace CLI that gives AI coding agents structured access to Gmail, Drive, and Calendar. Integrates with Claude Code for automating administrative and communication workflows. Useful for developers managing radio promotion, email campaigns, or document pipelines alongside code.
A detailed write-up of running a 116-configuration Claude Code setup for a one-person business. Covers how skills, hooks, agents, and sub-agents are layered to create a system that handles web apps, content pipelines, and business operations. One of the most comprehensive real-world Claude Code setups documented publicly.
A set of Claude Code workflows focused on codebase analysis, strategic planning, and technical debt reduction. Provides structured approaches for making architectural decisions with AI assistance. Aimed at teams looking to use Claude Code for long-term codebase health rather than just feature development.
Claude Code Remote Control is gated by a Statsig feature flag (tengu_ccr_bridge) that returns false for macOS (darwin) and true for Linux. The misleading error says "not yet enabled for your account" but your account is fine. A Docker workaround exists: run Claude Code in a Linux container to bypass the platform gate.
A framework for accelerating AI collaboration using Claude agent swarms with message queues for brainstorming, voting, and mentorship workflows. Enables multi-agent orchestration where multiple Claude instances collaborate on complex tasks through structured communication channels.
Bun (the JS runtime) uses both CodeRabbit and Claude Code Review together: CodeRabbit enforces project conventions defined in CLAUDE.md, while Claude Code Review catches subtle bugs. Agents iterate on feedback before a human reviewer sees the PR.
Each Claude Code session spawns a separate instance of every globally configured MCP server. With multiple stacked sessions open, this can create 30+ zombie MCP server processes (e.g., Gmail MCP) consuming significant memory. Close unused Claude Code sessions to avoid process buildup.
A practical multi-model workflow using Claude Code: (1) prompt Claude to write technical specs, (2) use an MCP Gemini integration for Claude to automatically ask Gemini to cross-review those specs. Leverages different model strengths for iterative spec refinement.
A backend API for orchestrating multi-agent AI teams across software development tasks. Provides coordination primitives for assigning and managing work across agents working in parallel.
A structured development methodology with TDD workflows, quality gates, specs, and tracking that works across Claude Code, Gemini, Cursor, Copilot, and Codex. Provides discipline and structure to AI-assisted coding sessions so output is consistent and verifiable.
A Claude Code plugin that spawns parallel agent teams working in separate git worktrees, allowing independent tasks like API endpoints, UI components, and database migrations to be built simultaneously. Type /multi-swarm with a description and the plugin decomposes and parallelizes the work automatically.
A tool that creates, validates, and animates formal Z specifications from source code, and generates code from specifications. Useful for teams that want formal methods verification in their Claude Code workflow.
A set of Claude Code plugins distilled from 451 real coding sessions, focusing on context management, investigation discipline, and guarded workflows that prevent runaway changes. Battle-tested patterns for keeping long Claude sessions on track.
A Claude Code tool that routes questions to Codex and Gemini for second opinions, creating a multi-model advisory board for design and implementation decisions. Useful when you want to pressure-test an approach before committing to it.
AI Agent Orchestrator for Claude Code
Currently, PMs in my company are using Claude Code with MCP connectors for generating ideas and writing PRDs, engineers use it for discussions and generating technical plans, once everything is app...
Claude Code plugin for project-aware development pipelines — analysis cache, multi-agent workflows, and adaptive execution
A tremendous feat of documentation, this guide covers Claude Code from beginner to power user, with production-ready templates for Claude Code features, guides on agentic workflows, and a lot of gr...
A bootstrap tool that scans your existing repo and auto-generates a tailored agent harness: CLAUDE.md, ARCHITECTURE.md, lint configs with remediation-rich errors, pre-commit hooks, and CI pipeline. Inspired by OpenAI Codex team insights, it favors short navigational maps over giant instruction files. Idempotent and works with Claude Code, Codex, or Copilot.
An end-to-end pipeline that uses Claude with the RoboSystems MCP to research and analyze SEC filings, then produces video content via HeyGen, ElevenLabs, and Shotstack. Demonstrates Claude orchestrating multi-tool, multi-vendor workflows for domain-specific content automation.
A lightweight, agent-agnostic communication protocol letting AI coding agents exchange messages across machines via file-based messaging bridged over SSH. Requires no dependencies beyond Bash, making it highly portable and easy to integrate with Claude Code or other agent frameworks for distributed workflows.
Claude Code skills — 60+ workflow automation and developer tool integrations
⚙️ Explore a curated collection of plugins for Claude Code, enhancing your workflow with commands, subagents, servers, and automation hooks.