oneshot

Orchestrate autonomous multi-agent feature workstreams with checkpointing and parallel execution.

19|Updated Dec 28, 2025
One-click install
npx skills add https://github.com/fall-out-bug/sdp --skill oneshot-fall-out-bug
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oneshot
Source: https://github.com/fall-out-bug/sdp/tree/main/.claude/skills/oneshot
Command: npx skills add https://github.com/fall-out-bug/sdp --skill oneshot-fall-out-bug

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the execution of multiple workstreams for a feature, enabling parallel processing by multiple agents and providing robust checkpointing for long-running tasks.

Core Features & Use Cases

  • Autonomous Execution: Run all workstreams for a feature without manual intervention.
  • Checkpoint & Resume: Save progress and resume execution from any point of interruption.
  • Parallel Processing: Utilize multiple agents to speed up feature development.
  • Use Case: For a complex feature with 10 dependent workstreams, use @oneshot to have 5 agents work on them concurrently, automatically handling dependencies and resuming if an agent crashes.

Quick Start

Execute all workstreams for feature 'bd-0001' using the oneshot skill.

Frequently Asked Questions about oneshot

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate parallel execution of feature workstreams with multiple agents?

Automate parallel feature workstreams by orchestrating multiple configurable agents to process tasks concurrently. The system manages task dependencies via a graph, allowing several agents to work on dependent workstreams simultaneously without manual intervention.

Can I resume multi-agent execution from a checkpoint if an agent crashes?

Resume multi-agent execution using built-in checkpointing capabilities that save progress throughout the task graph. If an agent crashes or execution is interrupted, the system automatically resumes from the last saved checkpoint.

What quality gates are enforced during autonomous feature development?

Autonomous feature development enforces quality gates including test coverage, lines of code limits, type hints, and error handling. These checks ensure parallel workstreams meet consistent code quality standards before completion.

How do I manage task dependencies when running parallel feature development agents?

Manage task dependencies automatically through an internal dependency graph that coordinates parallel execution. The system tracks workstream relationships, ensuring dependent tasks execute in the correct order while independent tasks run concurrently.

Does autonomous multi-agent execution work for complex features with many dependent workstreams?

Autonomous multi-agent execution handles complex features with many dependent workstreams by distributing them across a configurable number of agents. For example, 5 agents can process 10 dependent workstreams with automatic dependency resolution and crash recovery.