orchestrate — for Claude Code orchestrate, steadywrk, community, for Claude Code, ide skills, oh-my-ag agent:spawn, language, Native, Adaptation, subagents

v1.0.0
GitHub

이 스킬 정보

적합한 상황: Ideal for AI agents that need claude code native adaptation. 현지화된 요약: Automatic parallel multi-agent orchestration (includes Review Loop) # /orchestrate Claude Code Native Adaptation Spawn .claude/agents/ subagents via Task tool instead of CLI (oh-my-ag agent:spawn).

기능

Claude Code Native Adaptation
Spawn .claude/agents/ subagents via Task tool instead of CLI (oh-my-ag agent:spawn).
Task tool returns synchronously, so no polling needed.
Check if .agents/plan.json exists
If not: Guide user to run /plan first

# 핵심 주제

for Claude Code oh-my-ag agent:spawn language Native Adaptation subagents
karimalsalah karimalsalah
[0]
[0]
업데이트: 3/21/2026

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

적합한 상황: Ideal for AI agents that need claude code native adaptation. 현지화된 요약: Automatic parallel multi-agent orchestration (includes Review Loop) # /orchestrate Claude Code Native Adaptation Spawn .claude/agents/ subagents via Task tool instead of CLI (oh-my-ag agent:spawn).

이 스킬을 사용하는 이유

추천 설명: orchestrate helps agents claude code native adaptation. Automatic parallel multi-agent orchestration (includes Review Loop) # /orchestrate Claude Code Native Adaptation Spawn .claude/agents/ subagents via Task tool instead of CLI (oh-my-ag agent:spawn).

최적의 용도

적합한 상황: Ideal for AI agents that need claude code native adaptation.

↓ 실행 가능한 사용 사례 for orchestrate

사용 사례: Applying Claude Code Native Adaptation
사용 사례: Applying Spawn .claude/agents/ subagents via Task tool instead of CLI (oh-my-ag agent:spawn)
사용 사례: Applying Task tool returns synchronously, so no polling needed

! 보안 및 제한 사항

  • 제한 사항: Requires repository-specific context from the skill documentation
  • 제한 사항: Works best when the underlying tools and dependencies are already configured

About The Source

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Labs 데모

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 및 설치 단계

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

? 자주 묻는 질문

orchestrate은 무엇인가요?

적합한 상황: Ideal for AI agents that need claude code native adaptation. 현지화된 요약: Automatic parallel multi-agent orchestration (includes Review Loop) # /orchestrate Claude Code Native Adaptation Spawn .claude/agents/ subagents via Task tool instead of CLI (oh-my-ag agent:spawn).

orchestrate은 어떻게 설치하나요?

다음 명령을 실행하세요: npx killer-skills add karimalsalah/steadywrk. Cursor, Windsurf, VS Code, Claude Code와 19개 이상의 다른 IDE에서 동작합니다.

orchestrate은 어디에 쓰이나요?

주요 활용 사례는 다음과 같습니다: 사용 사례: Applying Claude Code Native Adaptation, 사용 사례: Applying Spawn .claude/agents/ subagents via Task tool instead of CLI (oh-my-ag agent:spawn), 사용 사례: Applying Task tool returns synchronously, so no polling needed.

orchestrate 와 호환되는 IDE는 무엇인가요?

이 스킬은 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 와 호환됩니다. 통합 설치에는 Killer-Skills CLI를 사용하세요.

orchestrate에 제한 사항이 있나요?

제한 사항: Requires repository-specific context from the skill documentation. 제한 사항: Works best when the underlying tools and dependencies are already configured.

↓ 이 스킬 설치 방법

  1. 1. 터미널 열기

    프로젝트 디렉터리에서 터미널 또는 명령줄을 여세요.

  2. 2. 설치 명령 실행

    npx killer-skills add karimalsalah/steadywrk 를 실행하세요. CLI가 IDE 또는 에이전트를 자동으로 감지하고 스킬을 설정합니다.

  3. 3. 스킬 사용 시작

    스킬이 이제 활성화되었습니다. 현재 프로젝트에서 orchestrate을 바로 사용할 수 있습니다.

! Source Notes

This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.

Upstream Repository Material

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

orchestrate

Install orchestrate, an AI agent skill for AI agent workflows and automation. Explore features, use cases, limitations, and setup guidance.

SKILL.md
Readonly
Upstream Repository Material
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

/orchestrate

Claude Code Native Adaptation

Spawn .claude/agents/ subagents via Task tool instead of CLI (oh-my-ag agent:spawn). Task tool returns synchronously, so no polling needed.

Step 1: Load Plan

  • Check if .agents/plan.json exists
  • If not: Guide user to run /plan first

Step 2: Initialize Session

  1. Load .agents/config/user-preferences.yaml
  2. Response language follows language setting in .agents/config/user-preferences.yaml
  3. Generate session ID (format: session-YYYYMMDD-HHMMSS)
  4. Show agent routing (based on skill-routing.md)

Step 3: Spawn Agents (Parallel Task tool calls)

Spawn agents by priority tier:

  • Multiple Task tool calls in same message = true parallel execution
  • Each agent: Use .claude/agents/{agent}.md definition
  • Include in prompt: Task description, API contract, context
  • Include API contracts from .agents/skills/_shared/api-contracts/ if they exist
  • Load only task-relevant context (check codebase structure around affected domains)

Agent mapping:

DomainSubagent File
backend.claude/agents/backend-impl.md
frontend.claude/agents/frontend-impl.md
mobile.claude/agents/mobile-impl.md
db.claude/agents/db-impl.md
qa.claude/agents/qa-reviewer.md
debug.claude/agents/debug-investigator.md
pm.claude/agents/pm-planner.md

Step 4: Monitoring

Task tool returns results directly → No polling needed. Check status, files changed, issues in each agent result.

Step 5: Agent-to-Agent Review Loop (Native Loop)

Main agent directly controls this loop. Maintain iteration counter.

iteration = 0
MAX_SELF = 3, MAX_CROSS = 2, MAX_TOTAL = 5

LOOP:
  iteration += 1
  if iteration > MAX_TOTAL → FORCE_COMPLETE (include quality warning)

  [1] Self-Review:
      Check self-review section in implementation agent results
      PASS → Proceed to [2]
      FAIL (self_count < MAX_SELF) → Re-spawn Task tool (with feedback) → LOOP
      FAIL (self_count >= MAX_SELF) → Force proceed to [2]

  [2] Automated Verification:
      Run lint/type-check/tests via Bash tool
      PASS → Proceed to [3]
      FAIL → Feed output back to agent as correction context (max 2 retries) → re-run [2]
      FAIL (retries exhausted) → Proceed to [3] with verification failure noted

  [3] Cross-Review:
      Spawn `qa-reviewer` subagent via Task tool
      Parse QA results: PASS / FAIL
      PASS → ACCEPT
      FAIL (cross_count < MAX_CROSS) → Feedback format:
        ## Review Feedback (iteration {n}/{MAX_TOTAL})
        **Reviewer**: qa-reviewer
        **Verdict**: FAIL
        **Issues**: [Specific file:line references]
        **Fix instruction**: [How to fix]
      → Re-spawn implementation agent Task tool (include feedback) → LOOP
      FAIL (cross_count >= MAX_CROSS) → Report to user with review history

Step 6: Collect Results

After all agents complete:

  • Collect .agents/results/result-{agent}.md
  • Organize completed/failed tasks, changed files, remaining issues

Step 7: Final Report

Session summary:

  • Completed tasks
  • Failed tasks (if failed after retries, include error details)
  • Next step suggestions: Manual fix, re-run specific agent, /review QA

$ARGUMENTS

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