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orchestrationorchestration 搜索

Agent Skill

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。

总安装

242

周安装

10

GitHub Stars

1,791

下载量

79
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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: decomposingdispatchingmonitoringmergingdone.

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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

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

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来源信息

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