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Hosted Agent Infrastructure

Guides design of remote sandboxed, pre-warmed cloud environments for background coding agents

Source Download skill
Repository
muratcankoylan/Agent-Skills-for-Context-Engineering
Stars
18,282
Licence
MIT
Files
3 files

What it does

This skill gives an AI agent architectural guidance for running coding agents in remote sandboxes instead of on a user's own machine. It covers pre-built environment images, warm pools of ready sandboxes, filesystem snapshots, per-user git attribution, and agents that spawn sub-sessions. It also includes a Python sketch of sandbox lifecycle classes that is explicitly labelled pseudocode to adapt to a platform such as Modal or Fly.io.

Great for

  • Engineers designing a background or cloud coding agent service that must start sessions quickly
  • Teams building multi-client agent backends (Slack, web, browser extension) that share one server
  • Architects planning parallel agent sessions across many repositories

Skip it if

  • Simple local agent use or one-off scripts, since the skill assumes a hosted multi-user infrastructure and adds unnecessary complexity
  • Anyone expecting a ready-to-run deployment: sandbox_manager.py is pseudocode and will not run against a real provider unchanged
  • Autonomous research loops, sub-agent topology or tool design, which the skill itself says belong to other skills

Try asking

  • “Design a warm pool and image rebuild schedule so coding sessions start in under a few seconds for our 500k-line monorepo”
  • “Explain how to attribute agent commits to the prompting user rather than the GitHub app”
  • “Plan an agent-spawn tool with start, status and continue primitives for parallel PRs across repos”
Step-by-step guide: how to use Hosted Agent InfrastructureInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 3 original files, the MIT licence and an attribution note.

    hosted-agents.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip hosted-agents.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip hosted-agents.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Treat the script as an architecture reference and replace its stubs with your provider's real APIs before relying on it
  • Ask the agent to focus on one layer (sandbox, API, or client) at a time, since the skill recommends keeping them separate
  • Review the token handling in UserIdentity carefully, since the sketch stores GitHub tokens in plain dataclass fields

What's inside

  • references/infrastructure-patterns.md
  • scripts/sandbox_manager.py
  • SKILL.md

Redistributed unmodified from muratcankoylan/Agent-Skills-for-Context-Engineering under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.