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Agent Skill · 开发

orchestration(orchestration 搜索)

orchestration 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

orchestration 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 20,060。

总安装 242周安装 10GitHub Stars 1,791下载 79核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:orchestration(orchestration 搜索)
来源仓库:https://github.com/stablyai/orca
仓库路径:skills/orchestration
安装命令:
npx skills add https://github.com/stablyai/orca --skill orchestration
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/stablyai/orca --skill orchestration

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于处理 GitHub 仓库与代码协作相关信息。适合在 Agent 需要围绕仓库状态进行整理时使用。可结合原始 README 继续核验具体功能细节。安装前需确认权限范围与维护状态。orchestration 属于开发类 Skill,可作为该场景下的辅助能力补充。不建议直接执行写入操作或修改协作流程。

来源仓库内路径:skills/orchestration

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/stablyai/orca --skill orchestration;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

orchestration 怎么安装?

在终端执行 npx skills add https://github.com/stablyai/orca --skill orchestration。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

orchestration 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

orchestration 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

orchestration 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

orchestration 用的人多吗?

公开数据是累计安装 242 次,近一周安装 10 次,下载 79 次,GitHub 1,791 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

orchestration 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 1,791 星,维护活跃度相对可查。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
orchestration

orchestration 搜索 · 本页

2421,791接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Orca Inter-Agent Orchestration

Use this skill when the task involves coordinating multiple coding agents through Orca's orchestration system. For basic terminal and worktree management, use the orca-cli skill instead.

When To Use

  • You need to send messages between agent terminals
  • You need to decompose a spec into parallel subtasks with dependencies
  • You need to dispatch tasks to worker agents with structured feedback
  • You need to act as a coordinator managing a multi-agent workflow
  • You need to create decision gates for human-in-the-loop checkpoints

Preconditions

  • Orca must be running (orca status --json should return runtime: true).
  • The orca CLI must be on PATH (installed via Settings > Browser > Enable Orca CLI).
  • The orchestration experimental feature must be enabled in Settings > Experimental.
  • All orca orchestration commands are RPC calls to the running Orca runtime — they require an active Orca session.

Command Surface

Messaging

Inter-agent messaging via persistent SQLite-backed mail store. Messages are delivered automatically when the recipient agent goes idle (push-on-idle).

orca orchestration send --to <handle|@group> --subject <text> [--from <handle>] [--body <text>] [--type <type>] [--priority <level>] [--thread-id <id>] [--payload <json>] [--json]
orca orchestration check [--terminal <handle>] [--unread] [--types <type,...>] [--inject] [--wait] [--timeout-ms <n>] [--json]
orca orchestration reply --id <msg_id> --body <text> [--from <handle>] [--json]
orca orchestration inbox [--limit <n>] [--json]

Why: --from auto-resolves via the ORCA_TERMINAL_HANDLE environment variable injected into every Orca-managed terminal. Omit it unless impersonating another terminal.

Why: --inject formats messages as readable banners with priority indicators ([HIGH], [URGENT]) for agent prompt injection. Use --json for machine-readable output.

Why: --wait blocks until a matching message arrives or the timeout expires (default 2 minutes). This replaces sleep+poll loops. If unread messages already exist, returns immediately. Combine with --types to wait for specific message types (e.g. --wait --types worker_done --timeout-ms 120000).

Message types: status (general), dispatch (assign work), worker_done (signal completion), merge_ready (branch ready for merge), escalation (issue requiring attention), handoff (pass work to another agent), decision_gate (human-in-the-loop).

Priority levels: normal, high, urgent.

Group addresses resolve to terminal handles:

GroupResolves To
@allAll terminal handles except sender
@idleHandles where the agent is currently idle
@claudeHandles running Claude Code
@codexHandles running Codex
@opencodeHandles running OpenCode
@geminiHandles running Gemini
@worktree:<id>All handles in a specific worktree

Group messages fan out: one message per recipient, shared thread_id, independent read tracking.

Tasks

Task tracking with DAG dependencies. A task becomes ready when all tasks in its deps array are completed.

orca orchestration task-create --spec <text> [--deps <json_array>] [--parent <task_id>] [--json]
orca orchestration task-list [--status <status>] [--ready] [--json]
orca orchestration task-update --id <task_id> --status <status> [--result <json>] [--json]

Task statuses: pending (waiting on deps), ready (deps met, dispatchable), dispatched (assigned to a terminal), completed, failed, blocked (waiting on a decision gate).

Why: when a task is marked completed, the runtime automatically promotes any pending tasks whose deps are now all satisfied to ready. This is the DAG resolution step.

Dispatch

Dispatch assigns a ready task to a terminal. Optionally injects the task spec + preamble into the terminal so the agent knows how to communicate back.

orca orchestration dispatch --task <task_id> --to <handle> [--from <handle>] [--inject] [--json]
orca orchestration dispatch-show --task <task_id> [--json]

Why: --inject sends a preamble that teaches the agent how to use orca orchestration send --type worker_done to report completion. All agents have orca on PATH and can execute shell commands. The preamble maximizes structured feedback but the system works without it (coordinator falls back to idle detection + output reading).

Why: --inject requires a recognized agent CLI (e.g. Claude Code) running in the target terminal. If the terminal is a bare shell, omit --inject and send the prompt manually with terminal send.

Why: dispatch contexts are separate from tasks (sling pattern). A task can be dispatched, fail, and be re-dispatched to a different terminal — the task stays clean while dispatch contexts track retry state.

Circuit breaker: After 3 consecutive failures on a task, the dispatch context is marked circuit_broken. The task is marked failed to prevent infinite retry loops.

Decision Gates

Human-in-the-loop decision points that block a task until resolved.

orca orchestration gate-create --task <task_id> --question <text> [--options <json_array>] [--json]
orca orchestration gate-resolve --id <gate_id> --resolution <text> [--json]
orca orchestration gate-list [--task <task_id>] [--status <status>] [--json]

Why: creating a gate blocks the task and completes its active dispatch. Resolving a gate sets the task back to ready with the resolution context included in the next dispatch preamble.

Gate statuses: pending, resolved, timeout.

Coordinator

Start an automated coordinator loop that dispatches ready tasks, processes worker_done/escalation messages, and advances the task DAG.

orca orchestration run --spec <text> [--from <handle>] [--poll-interval-ms <n>] [--max-concurrent <n>] [--worktree <selector>] [--json]
orca orchestration run-stop [--json]

Why: run returns immediately with a run ID. The coordinator loop runs in the background inside the Orca runtime. Query progress via orca orchestration task-list. Only one coordinator can run at a time.

Coordinator phases: decomposing → dispatching → monitoring → merging → done.

Lifecycle

orca orchestration reset [--all] [--tasks] [--messages] [--json]

Why: --all is the default if no flags provided. --tasks clears tasks, dispatch contexts, decision gates, and coordinator runs but preserves messages.

Terminal Commands for Coordinators

Coordinators need these terminal commands to spawn agents, monitor progress, and read output. Full terminal documentation lives in the orca-cli skill — this is the subset required for orchestration workflows.

orca terminal list [--worktree <selector>] [--json]
orca terminal create [--worktree <selector>] [--title <text>] [--command <cmd>] [--json]
orca terminal split --terminal <handle> [--direction horizontal|vertical] [--command <cmd>] [--json]
orca terminal read [--terminal <handle>] [--json]
orca terminal send [--terminal <handle>] --text <text> [--enter] [--json]
orca terminal wait [--terminal <handle>] --for <exit|tui-idle> [--timeout-ms <n>] [--json]
orca terminal show --terminal <handle> [--json]
orca terminal stop [--terminal <handle>] [--json]
orca terminal close [--terminal <handle>] [--json]

Why: --terminal is optional for most commands. When omitted, Orca auto-resolves to the active terminal in the current worktree.

Why: --command "claude" launches Claude Code in the new terminal. After creating a --command terminal, use terminal wait --for tui-idle to wait for the agent to boot before dispatching.

Why: --for tui-idle detects the working→idle OSC title transition for recognized agent CLIs (Claude Code, Gemini, Codex, etc.). Always pass --timeout-ms — real coding tasks routinely take 15-60 minutes.

Why: --direction horizontal splits left/right (new pane to the right). --direction vertical splits top/bottom (new pane below). Default is horizontal.

Why: terminal handles are runtime-scoped. If Orca restarts, handles go stale. Re-acquire with terminal list.

Why: the 120-line terminal output buffer (terminal read) is for status monitoring, not result extraction. Prefer structured worker_done payloads over parsing terminal output.

Agent Guidance

  • When dispatched with a preamble, always run the worker_done command when done. This is the primary feedback mechanism — it keeps the coordinator's context window clean.
  • If blocked or unable to complete a task, send an escalation message to the coordinator instead of silently stalling.
  • Use orca orchestration check to read incoming messages from the coordinator or other agents. Messages are delivered automatically when you go idle, but you can also poll explicitly.
  • Treat orca orchestration commands the same way you treat git or npm — they are CLI tools available in your shell.
  • The coordinator uses orca orchestration task-list --ready as its external memory. Prefer querying orchestration state over tracking it in your context window.
  • For multi-agent coordination, prefer the inter-worktree pattern (each agent in its own worktree) for parallel implementation tasks. Use intra-worktree (split panes, shared files) for complementary tasks where agents don't edit the same files.
  • When acting as coordinator: discover existing agents with terminal list, create tasks with task-create, dispatch with dispatch --inject, and wait for worker_done messages via check --wait --types worker_done,escalation --timeout-ms 300000.
  • When acting as coordinator: prefer check --wait over sleep+poll loops. --wait blocks until a message arrives, eliminating wasted time. Always pass --timeout-ms as a safety net. If the wait times out with no messages, fall back to terminal wait --for tui-idle and then reading terminal output.
  • check --wait returns one message at a time. If N workers finish near-simultaneously, call check --wait N times in a loop to collect all results. After each return, mark the task complete (which auto-promotes dependents) and dispatch the next wave before looping back to wait.
  • After receiving worker_done from a terminal, that terminal is guaranteed idle — skip the terminal wait --for tui-idle round-trip and dispatch the next task immediately.
  • Terminal handles are ephemeral and runtime-scoped. If Orca restarts mid-workflow, all handles go stale. Re-acquire them with terminal list before continuing.
  • Keep dependency chains to 3-4 steps maximum. Prefer parallel waves of independent tasks over deep sequential chains.
  • Insert decision gates (gate-create) between phases for human oversight on risky operations.

Coordinator Worked Example

Dispatch a task to a fresh Claude Code terminal and wait for completion:

# 1. Create a terminal running Claude Code
orca terminal create --worktree active --title "worker-1" --command "claude" --json
# → handle: term_abc123

# 2. Wait for Claude Code to boot (tui-idle fires when the prompt appears)
orca terminal wait --terminal term_abc123 --for tui-idle --timeout-ms 60000 --json

# 3. Create and dispatch a task with preamble injection
orca orchestration task-create --spec "Fix the login button CSS" --json
# → id: task_def456
orca orchestration dispatch --task task_def456 --to term_abc123 --inject --json

# 4. Block until the worker reports back (no sleep loops needed)
orca orchestration check --wait --types worker_done,escalation --timeout-ms 300000 --json
# → returns immediately when worker sends worker_done

# 5. If --wait timed out with no messages, fall back to idle detection
orca terminal wait --terminal term_abc123 --for tui-idle --timeout-ms 60000 --json
orca terminal read --terminal term_abc123 --json

平台分布

Codex

36.25%
按下载量换算29

Claude

33.91%
按下载量换算27

Cursor

17.77%
按下载量换算14

Gemini CLI

9.52%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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