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

v1.0.0
GitHub

이 스킬 정보

Claude Code를 사용하여 네이티브 적응 및 종합 콘텐츠 분석이 필요한 AI 에이전트에게 완벽함 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

# Core Topics

for Claude Code oh-my-ag agent:spawn language Native Adaptation subagents
projectdx75 projectdx75
[0]
[0]
Updated: 3/17/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

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

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
8/11
Quality Score
42
Canonical Locale
en
Detected Body Locale
en

Claude Code를 사용하여 네이티브 적응 및 종합 콘텐츠 분석이 필요한 AI 에이전트에게 완벽함 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

Claude Code를 사용하여 에이전트가 세션을 오케스트레이션 할 수 있는 기능을 제공하며, Task 도구를 사용하여 서브 에이전트를 동기적으로 생성하고 .yaml 파일에서 사용자 설정을 로드하며, 세션 ID를 생성하고 언어 설정을 처리

최적의 용도

Claude Code를 사용하여 네이티브 적응 및 종합 콘텐츠 분석이 필요한 AI 에이전트에게 완벽함

↓ 실행 가능한 사용 사례 for orchestrate

사용자 특정 설정을 사용하여 세션을 초기화
추적 및 분석을 위해 고유한 세션 ID를 생성
사용자 지정 콘텐츠 분석을 위해 .json 파일에서 계획을 로드하고 적응

! 보안 및 제한 사항

  • 파일 .agents/plan.json이 존재해야 함
  • 파일 .agents/config/user-preferences.yaml에 접근해야 함
  • Claude Code와 Task 도구의 기능에 의존

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - 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.

Install Path

Start With Installation And Validation

If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Trusted Recheck

Cross-Check Against Trusted Picks

If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Workflow

Move To Workflow Collections For Team Rollout

When the goal shifts from a single skill to team workflows, approvals, and repeatable execution, move into workflow collections.
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 orchestrate?

Claude Code를 사용하여 네이티브 적응 및 종합 콘텐츠 분석이 필요한 AI 에이전트에게 완벽함 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).

How do I install orchestrate?

Run the command: npx killer-skills add projectdx75/nPlayerNext/orchestrate. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for orchestrate?

Key use cases include: 사용자 특정 설정을 사용하여 세션을 초기화, 추적 및 분석을 위해 고유한 세션 ID를 생성, 사용자 지정 콘텐츠 분석을 위해 .json 파일에서 계획을 로드하고 적응.

Which IDEs are compatible with orchestrate?

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.

Are there any limitations for orchestrate?

파일 .agents/plan.json이 존재해야 함. 파일 .agents/config/user-preferences.yaml에 접근해야 함. Claude Code와 Task 도구의 기능에 의존.

↓ 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 projectdx75/nPlayerNext/orchestrate. 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 orchestrate 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

orchestrate

Install orchestrate, 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

/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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