SCUD Task Manager

Inspired by the SCUD short-range ballistic missile system—lightweight, flexible, and powerful. Like its namesake, SCUD can be deployed quickly in a variety of contexts, delivering results with minimal overhead.

A fast, AI-powered task management system. Parse PRDs into tasks, track dependencies, and visualize parallel execution waves.

Quick Start

Install

Using pnpm (recommended):

pnpm add -g scud-task
cd your-project
scud init

Using npm:

npm install -g scud-task
cd your-project
scud init

Basic Usage

# Create tasks from a PRD or feature doc
scud parse docs/feature.md --tag my-feature

# View tasks and dependencies
scud list --tag my-feature
scud waves --tag my-feature    # Show parallel execution plan

# Find and work on next ready task
scud next --tag my-feature
scud set-status 1 in-progress

# When done, mark complete
scud set-status 1 done

# Visualize in browser
scud view

Quick reference: docs/reference/QUICK_REFERENCE.md Orchestrator pattern: docs/orchestrator.md

Core Concepts

SCG Format

Tasks are stored in SCG (SCUD Graph) format—a token-efficient, human-readable text format that achieves ~75% token reduction compared to JSON. SCG explicitly represents the task dependency graph with sections for nodes, edges, and metadata. Inspired in part by Nikolai Mushegian's JAMS spec (GitHub).

@nodes
auth:1 | Design auth system | X | 13 | H
auth:1.1 | Implement JWT | D | 5 | H

@edges
auth:1.1 -> auth:1

Full spec: docs/reference/SCG_FORMAT_SPEC.md

DAG-Driven Execution

Tasks become ready when their dependencies complete. No manual phase management required.

Task 1 ──┐
         ├──> Task 3 ──> Task 5
Task 2 ──┘      │
                └──> Task 4

Tags

Group related tasks together (e.g., auth-system, payment-flow). Each tag has its own task graph.

Parallel Execution

Use orchestrator patterns to spawn multiple Claude Code agents in parallel, each working on a ready task. See docs/orchestrator.md.

Key Features

Fast Rust CLI

• 50x faster than JavaScript alternatives
• 42x fewer tokens (500 vs 21k)
• Single binary - no dependencies

DAG-Driven Execution

• Dependency graphs - tasks ready when deps complete
• Parallel waves - visualize concurrent work with scud waves
• Smart scheduling - scud next finds ready tasks

Web Dashboard

• Visual task board - scud view opens browser dashboard
• Mermaid diagrams - dependency graph visualization
• Real-time stats - progress tracking

Orchestrator Support

• Parallel agents - spawn multiple Claude instances
• Task locking - scud claim/release prevents conflicts
• Session monitoring - scud whois tracks active work

Documentation

Getting Started:

• Quick Reference - Command cheat sheet
• SCG Format Spec - Task file format

Patterns:

• Orchestrator Pattern - Parallel execution guide
• Parallel Features - Task locking & orchestration

Development:

• Development Logs - Implementation details & history

Commands

Setup

scud init                          # Initialize SCUD in current directory
scud warmup                        # Quick session orientation

Core Commands (Instant)

scud tags                          # List all tags
scud tags <tag>                    # Set active tag
scud list [--tag <tag>]            # List tasks
scud show <id>                     # Show task details
scud next [--tag <tag>]            # Find next ready task
scud set-status <id> <status>      # Update task status
scud stats [--tag <tag>]           # Show statistics
scud waves [--tag <tag>]           # Show parallel execution waves

Visualization

scud view                          # Open task viewer in browser
scud mermaid [--tag <tag>]         # Generate Mermaid diagram

AI Commands (Requires XAI_API_KEY)

scud parse <file> --tag <tag>      # Parse PRD/doc into tasks
scud parse <file> --tag <tag> --no-guidance  # Parse without project guidance
scud analyze-complexity            # Analyze task complexity
scud expand --all                  # Break down complex tasks
scud expand --all --no-guidance    # Expand without project guidance

Default model: grok-code-fast-1. Configure with scud config set-provider <provider> --model <model>.

Project guidance files in .scud/guidance/*.md are automatically included in AI prompts.

Orchestrator Commands

scud assign <id> <name>            # Assign task to a developer
scud who-is [--tag <tag>]          # See who's working on what
scud next-batch [--limit 5]        # Get multiple ready tasks
scud doctor [--tag <tag>]          # Diagnose stuck task states

Utilities

scud log <id> "message"            # Add log entry to task
scud log-show <id>                 # Show task log entries
scud commit [-m "msg"]             # Git commit with task context
scud clean [--tag <tag>]           # Clear tasks (with confirmation)

Example Workflow

# 1. Initialize
scud init

# 2. Create tasks from PRD
scud parse docs/feature.md --tag auth-system
# Creates tasks with dependencies

# 3. View execution plan
scud waves --tag auth-system
# Shows which tasks can run in parallel

# 4. Work on next ready task
scud next --tag auth-system
# Returns: Task 1 is ready

scud set-status 1 in-progress
# ... do the work ...
scud set-status 1 done

# 5. Track progress
scud stats --tag auth-system
# Shows progress: 8/10 complete

# 6. Visualize
scud view
# Opens task viewer in browser

See docs/orchestrator.md for parallel execution patterns.

Why SCUD?

DAG-Driven:

• Tasks become ready when dependencies complete
• Visualize parallel execution waves
• Smart scheduling finds ready work

Fast & Simple:

• Rust CLI is instant (<50ms)
• SCG format is human-readable and git-friendly
• Works offline (core commands)
• No vendor lock-in

Visual:

• Web dashboard with task board
• Mermaid dependency diagrams
• Real-time progress tracking

Orchestrator-Ready:

• Spawn parallel Claude agents
• Task locking prevents conflicts
• Monitor active sessions
• Doctor command finds stale work

Requirements

• Node.js 16+ (for pnpm/npm package wrapper)
• xAI API key (for AI features only; core commands work offline)

export XAI_API_KEY=xai-...

Alternative providers: Anthropic (ANTHROPIC_API_KEY), OpenAI (OPENAI_API_KEY), OpenRouter (OPENROUTER_API_KEY). Configure with scud config.

File Structure

.scud/
├── tasks/tasks.scg           # All tasks in SCG format
├── config.toml               # Provider/model settings
├── active-tag                # Currently active tag
├── current-task              # Active task ID (for commits)
├── guidance/                 # Project guidance for AI prompts
│   └── *.md                  # Markdown files auto-loaded
└── logs/                     # Task log entries

Project Guidance

You can provide project-specific context that will be automatically included in AI prompts. Create markdown files in .scud/guidance/:

# Example: Add coding standards
echo "# Coding Standards
- Use TypeScript strict mode
- All functions must have JSDoc comments
- Maximum function length: 50 lines" > .scud/guidance/coding-standards.md

# Example: Add architecture notes
echo "# Architecture
- Frontend: React with hooks
- Backend: Express.js
- Database: PostgreSQL" > .scud/guidance/architecture.md

All .md files in this folder are automatically loaded when running scud parse or scud expand. Use --no-guidance to skip loading guidance.

Development

# Build Rust CLI
cd scud-cli
cargo build --release

# The binary will be at:
# scud-cli/target/release/scud

Contributing

Issues and PRs welcome at github.com/pyrex41/scud

License

MIT

Learn More

• Quick Reference: docs/reference/QUICK_REFERENCE.md
• SCG Format: docs/reference/SCG_FORMAT_SPEC.md
• Orchestrator Pattern: docs/orchestrator.md
• Parallel Features: docs/features/PARALLEL_FEATURES.md

Happy building!