sprites

Coordinate isolated lane workloads on Fly Sprites with golden checkpoints.

13|3|Updated Mar 2, 2026

Search Tags:#automation #deployment #orchestration #deterministic #sandbox #sprite #lane

Ready to run

npx skills add https://github.com/misty-step/harness-kit --skill sprites-misty-step

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sprites
Source: https://github.com/misty-step/harness-kit/tree/main/skills/sprites
Command: npx skills add https://github.com/misty-step/harness-kit --skill sprites-misty-step

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires nodejs, git, npm, gh, openai-codex, anthropic-claude-code, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Run lane cards on Fly Sprites: remote, isolated, scale-to-zero sandboxes for heavy or parallel agent work. Golden-checkpoint provisioning so lanes start on a ready sprite with zero setup tokens. Use when: "run this on a sprite", "remote lane", "offload to a sandbox", "dispatch to sprites", "bake a sprite", "sprite fleet", heavy/long-running/parallel sub-agent work that should not run on this machine. Trigger: /sprites, /sprite-lane.

Core Features & Use Cases

Deterministic sprite-based lane execution with per-sprite golden checkpoints.
Supports provisioning, running, monitoring, and detaching lanes across multiple repos.
Receipts and logs are produced for traceability and post-run analysis.

Quick Start

Run a lane card on a sprite by specifying the repository and the lane card file.

Frequently Asked Questions about sprites

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

FAQPage Schema

How do I run parallel agent tasks on isolated sandboxes?▼

To run parallel agent tasks on isolated sandboxes, you dispatch lane cards to remote Fly Sprites. This coordinates and executes heavy, long-running workloads across multiple repos with zero local setup tokens.

What are golden checkpoints in deterministic sprite provisioning?▼

Golden checkpoints are preconfigured, ready-to-start states applied during deterministic sprite provisioning. They ensure each isolated lane workload begins on a prepared sandbox without requiring initial environment setup tokens.

How do I monitor and fetch results from a detached lane workload?▼

You monitor and fetch results from a detached lane workload using the status and fetch workflows. These workflows produce structured receipts and logs for traceability and post-run analysis.

Can I use isolated sandboxes for heavy workloads across multiple repos?▼

Yes, isolated sandboxes support heavy, long-running, and parallel workloads across multiple repos. The system implements idempotent provisioning and per-sprite golden checkpoints to scale agent tasks efficiently.

Do I need Node.js and Git to deploy lane cards to sprites?▼

Yes, deploying lane cards to sprites requires Node.js and Git, alongside npm and gh dependencies. These tools support the orchestration, provisioning, and execution of lane workloads on remote sandboxes.

When should I offload agent work to a remote sandbox instead of running it locally?▼

You should offload agent work to a remote sandbox when handling heavy, long-running, or parallel sub-agent tasks that should not run on your local machine. This prevents local resource exhaustion and enables scalable orchestration.