by marcuspat
Advanced Agentic Development Environment Supporting Devpods, Rackspace Spot Instances, Github Codespaces, Google Cloud Shell, and more! Features 600+ AI agents, Claude Flow, SPARC methodology, and automatic context loading! Deploy intelligent multi-agent swarms, coordinate autonomous workflows.
# Add to your Claude Code skills
git clone https://github.com/marcuspat/turbo-flow-claudeGuides for using ai agents skills like turbo-flow-claude.
Last scanned: 5/30/2026
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"scannedAt": "2026-05-30T16:24:22.510Z",
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}turbo-flow-claude is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by marcuspat. Advanced Agentic Development Environment Supporting Devpods, Rackspace Spot Instances, Github Codespaces, Google Cloud Shell, and more! Features 600+ AI agents, Claude Flow, SPARC methodology, and automatic context loading! Deploy intelligent multi-agent swarms, coordinate autonomous workflows. It has 124 GitHub stars.
Yes. turbo-flow-claude passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/marcuspat/turbo-flow-claude" and add it to your Claude Code skills directory (see the Installation section above).
turbo-flow-claude is primarily written in Shell. It is open-source under marcuspat on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh turbo-flow-claude against similar tools.
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Advanced Agentic Development Environment
DevPods • GitHub Codespaces • Google Cloud Shell
/speckit.* commands)ai-agent-skills# Install DevPod
# macOS: brew install loft-sh/devpod/devpod
# Windows: choco install devpod
# Linux: curl -L -o devpod "https://github.com/loft-sh/devpod/releases/latest/download/devpod-linux-amd64" && sudo install devpod /usr/local/bin
# Launch workspace
devpod up https://github.com/marcuspat/turbo-flow-claude --ide vscode
See github_codespaces_setup.md
See google_cloud_shell_setup.md
| Tool | Alias | Description |
|---|---|---|
| Claude Code | claude, dsp |
Anthropic's AI coding CLI |
| Claude Flow | cf, cf-swarm, cf-hive |
AI orchestration with SPARC methodology |
| Agentic Flow | af, af-run, af-coder |
Self-learning agent workflows (66 agents, 213 MCP tools) |
| Agentic QE | aqe, aqe-mcp |
AI-powered testing (19 agents, 11 TDD subagents) |
| Agentic Jujutsu | aj |
AI-enhanced version control (23x faster than Git) |
| Claude Usage | cu, claude-usage |
API usage tracking |
| Claudish | claudish |
Multi-model proxy (100+ models via OpenRouter) |
| Tool | Alias | Description |
|---|---|---|
| Spec-Kit | sk, sk-here, sk-check |
Spec-driven development from GitHub |
| OpenSpec | os, os-init, os-list |
Spec-driven development from Fission AI |
| AI Agent Skills | skills-list, skills-install |
38+ skills for Claude/Cursor/Codex/Amp |
| n8n-MCP | n8n-mcp |
n8n workflow automation (543 nodes) |
| PAL MCP | pal, pal-setup |
Multi-model AI (Gemini, GPT, Grok, Ollama) |
| agtrace | agt-watch, agt-sessions |
AI agent observability with live TUI dashboard |
| Server | Alias | Description |
|---|---|---|
| Playwright MCP | mcp-playwright |
Browser automation (143+ devices, cross-browser) |
| Chrome DevTools MCP | mcp-chrome |
Full DevTools access (24+ tools, performance tracing) |
| n8n-MCP | n8n-mcp |
Workflow automation (543 nodes, 2,646 examples) |
| PAL MCP | pal |
Multi-model AI orchestration |
| agtrace MCP | agt-mcp |
Agent self-reflection and history queries |
tsconfig.jsonsrc/, tests/, docs/, scripts/, examples/, config/# 1. Initialize spec-kit in your project
sk-here # or: specify init . --ai claude
# 2. Generate CLAUDE.md (dynamic project context)
./devpods/generate-claude-md.sh # or: generate-claude-md
# 3. Start Claude Code
claude
# 4. Follow the spec-kit workflow
/speckit.constitution # Define project principles
/speckit.specify # Write specifications
/speckit.plan # Create implementation plan
/speckit.tasks # Break down into tasks
/speckit.implement # Build it
# 5. Regenerate CLAUDE.md after spec changes
generate-claude-md # Updates with latest specs
# 1. Initialize OpenSpec
os-init
# 2. Create a change proposal
claude
> "/openspec:proposal Add OAuth authentication"
# 3. Review and iterate
os-show add-oauth
os-validate add-oauth
# 4. Apply when ready
> "/openspec:apply add-oauth"
# 5. Archive completed change
os-archive add-oauth
# Setup PAL (first time only)
pal-setup # Installs dependencies
# Edit PAL config with your API keys
nano ~/.pal-mcp-server/.env
# Start PAL server
pal
# Use PAL for multi-model collaboration in Claude:
# "Use pal to analyze this with gemini pro and o3"
# "Get consensus from multiple models on this approach"
# Set API key
export OPENROUTER_API_KEY='sk-or-v1-...'
# Use different models
claudish --model x-ai/grok-code-fast-1 "fix the bug"
claudish --model google/gemini-2.5-flash "review this code"
claudish --model openai/gpt-5-codex "refactor the API"
# List available models
claudish --models
claudish --top-models
# Initialize in your project
agtrace init
# Launch live dashboard (in separate terminal)
agtrace watch
# Browse session history
agtrace session list
# Search across sessions
agtrace lab grep "error"
# Let agents query their own history (add MCP)
claude mcp add agtrace -- agtrace mcp serve
# Browse available skills
skills-list
# Install a skill
skills-install frontend-design
# Search for skills
skills-search "code review"
# Get skill details
skills-info frontend-design
# Install for different agents
skills-install frontend-design --agent cursor
skills-install frontend-design --agent vscode
claude # Start Claude Code
claude-hierarchical # claude --dangerously-skip-permissions
dsp # claude --dangerously-skip-permissions (short)
cf # Claude Flow base command
cf-init # Initialize claude-flow (--force)
cf-swarm # Run swarm mode
cf-hive # Spawn hive-mind agents
cf-spawn # Spawn hive-mind (alias)
cf-status # Check hive-mind status
cf-help # Show help
cf-fix # Fix better-sqlite3 dependency
cf-task "task" # Quick swarm task (function)
af # Agentic Flow
af-run # Run with agent
af-coder # Run coder agent
af-help # Agentic Flow help
af-task "agent" "task" # Quick agentic task (function)
aqe # Agentic QE testing
aqe-init # Initialize AQE
aqe-generate # Generate tests
aqe-flaky # Hunt flaky tests
aqe-gate # Quality gate check
aqe-mcp # Agentic QE MCP server
aj # Agentic Jujutsu (git)
aj-status # Jujutsu status
aj-analyze # Analyze repository
cu # Claude usage stats
claude-usage # Claude usage stats (full)
sk # Specify CLI
sk-init # Initialize new project
sk-check # Check installed tools
sk-here # Init in current directory with Claude
os # OpenSpec CLI
os-init # Initialize OpenSpec
os-list # List change proposals
os-show # Show specific change
os-validate # Validate a change
os-archive # Archive completed change
os-update # Update configurations
skills # Base command
skills-list # List all 38+ skills
skills-search "query" # Search skills
skills-install <name> # Install a skill
skills-info <name> # Get skill details
agt # agtrace base command
agt-init # Initialize workspace
agt-watch # Live TUI dashboard
agt-sessions # List sessions
agt-grep # Search across sessions
agt-mcp # Start MCP server
n8n-mcp # n8n workflow MCP
pal # Start PAL multi-model MCP server
pal-setup # Setup PAL dependencies (uv sync)
mcp-playwright # Playwright MCP
mcp-chrome # Chrome DevTools MCP
claudish # Interactive mode
claudish --models # List available models
claudish --top-models # Show recommended models
claudish-grok # Use Gr