Can I recover my session if I run out of context?

Yes. Ultraplan is built for context recovery; simply run the /compact command and resume by pointing Claude to the .ultraplan/progress.toml file.

What verification tools does Ultraplan support?

Ultraplan currently features native support for Rust ecosystem tools including cargo clippy, cargo test, and cargo llvm-cov, outputting results to a dedicated .ultraplan directory.

How do I track the progress of my parallel tasks?

You can monitor the status of every phase and task by checking the .ultraplan/progress.toml file, which is updated in real-time as tasks complete.

How does Ultraplan handle task dependencies?

While Ultraplan focuses on maximum parallelism, the implementation phase is designed to respect specific dependencies to ensure code integrity and correct build orders.

Ultraplan Parallel Orchestrator

Name: Ultraplan Parallel Orchestrator
Author: jvishnefske

byjvishnefske

Productividad y Flujo de Trabajo

Orchestrates multi-phase project implementation by spawning independent tasks in parallel to maximize development throughput.

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Ultraplan is a high-performance orchestration skill for Claude Code designed to eliminate sequential bottlenecks in complex development workflows. By coordinating across four distinct phases—Explore, Plan, Implement, and Verify—Ultraplan launches all independent subtasks simultaneously within a single message. It maintains a persistent state through a dedicated progress tracker and integrates natively with Rust-based verification tools to provide structured, tool-readable feedback, making it ideal for large-scale implementations and multi-agent task management.

Características Principales

Robust Context Recovery: Allows for seamless resumption of work after context clearing or compacting.
Maximum Parallelism: Spawns all independent sub-agents in a single message per phase.
Native Tool Integration: Automatically captures cargo clippy, test, and llvm-cov outputs in JSON format.
Four-Phase Workflow: Standardizes the lifecycle through Explore, Plan, Implement, and Verify stages.
Persistent State Tracking: Maintains a progress.toml file to track task status and modified files.
0 GitHub stars

Casos de Uso

Executing large-scale codebase refactors that require simultaneous modifications across multiple modules.
Automating complex testing and linting pipelines for Rust projects with detailed JSON reporting.
Managing multi-agent research and planning sessions for new feature architectures.

Acerca de

Características Principales

Robust Context Recovery: Allows for seamless resumption of work after context clearing or compacting.
Maximum Parallelism: Spawns all independent sub-agents in a single message per phase.
Native Tool Integration: Automatically captures cargo clippy, test, and llvm-cov outputs in JSON format.
Four-Phase Workflow: Standardizes the lifecycle through Explore, Plan, Implement, and Verify stages.
Persistent State Tracking: Maintains a progress.toml file to track task status and modified files.
0 GitHub stars

Casos de Uso

Executing large-scale codebase refactors that require simultaneous modifications across multiple modules.
Automating complex testing and linting pipelines for Rust projects with detailed JSON reporting.
Managing multi-agent research and planning sessions for new feature architectures.