do — claude-code simple-agent-manager, community, claude-code, ide skills, coding-agent, orchestration

v1.0.0

Über diesen Skill

Run multiple coding agents in parallel on your own cloud VMs.

# Core Topics

raphaeltm raphaeltm
[25]
[2]
Updated: 4/8/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 1/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Review Score
1/11
Quality Score
26
Canonical Locale
en
Detected Body Locale
en

Run multiple coding agents in parallel on your own cloud VMs.

Warum diese Fähigkeit verwenden

Run multiple coding agents in parallel on your own cloud VMs.

Am besten geeignet für

Suitable for operator workflows that need explicit guardrails before installation and execution.

Handlungsfähige Anwendungsfälle for do

! Sicherheit & Einschränkungen

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The page lacks a strong recommendation layer.
  • - The page lacks concrete use-case guidance.
  • - The page lacks explicit limitations or caution signals.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is do?

Run multiple coding agents in parallel on your own cloud VMs.

How do I install do?

Run the command: npx killer-skills add raphaeltm/simple-agent-manager/do. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

Which IDEs are compatible with do?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add raphaeltm/simple-agent-manager/do. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use do immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

do

Install do, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

End-to-End Task Executor

Read the full workflow from .codex/prompts/do.md and execute it.

Quick Summary

  1. Research — understand the request, search the codebase, read related docs
  2. Task file — create in tasks/backlog/, commit to main
  3. Worktree — create feature branch and worktree
  4. Implement — follow checklist, push frequently, run quality checks. For UI changes: run mandatory Playwright visual audit with mock data on mobile + desktop viewports (see .claude/rules/17-ui-visual-testing.md)
  5. Validate — full quality suite: lint, typecheck, test, build
  6. Review — invoke specialist skills ($go-specialist, $cloudflare-specialist, etc.)
  7. Staging — check for existing staging deploys (wait 5min if active), trigger manual deployment via gh workflow run deploy-staging.yml --ref <branch>, verify changed behavior end-to-end via Playwright. For infrastructure changes (cloud-init, VM agent, DNS, TLS, scripts/deploy): MUST provision a real VM and verify heartbeat arrives. See Phase 6b in .codex/prompts/do.md.
  8. PR — create with gh pr create, wait for CI, merge when green
  9. Cleanup — remove worktree, pull main

⚠️ Anti-Compaction: State File

Long /do runs lose context to compaction. You MUST maintain .do-state.md (gitignored) as external memory. Re-read it before every phase. See .claude/rules/14-do-workflow-persistence.md.

Verwandte Fähigkeiten

Looking for an alternative to do or another community skill for your workflow? Explore these related open-source skills.

Alle anzeigen

openclaw-release-maintainer

Logo of openclaw
openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

333.8k
0
Künstliche Intelligenz

widget-generator

Logo of f
f

Erzeugen Sie anpassbare Widget-Plugins für das Prompts.Chat-Feed-System

149.6k
0
Künstliche Intelligenz

flags

Logo of vercel
vercel

Das React-Framework

138.4k
0
Browser

pr-review

Logo of pytorch
pytorch

Tensor und dynamische neuronale Netze in Python mit starker GPU-Beschleunigung

98.6k
0
Entwickler