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Orchestration

  • 85.9k installs
  • 37.5k repo stars
  • Updated August 5, 2026
  • stablyai/orca

Orca Orchestration is a skill for structured coordination of multiple agents using task DAGs, messaging, and lifecycle tracking in Claude Code.

About

Orca Orchestration provides structured multi-agent coordination for complex task decomposition and supervision. It enables threaded messaging between agents, blocking ask/reply flows for coordination, task dispatch with dependency graphs (DAGs), worker completion tracking, and decision gates for coordinator intervention. Use this skill when decomposing work across multiple agents, supervising autonomous tasks with DAG dependencies, or coordinating specialized workers. It distinguishes between supervised orchestration (coordinator monitors completion) and full handoffs (ownership transfer) with explicit lifecycle messages.

  • Multi-agent task coordination with DAG dependencies and decision gates
  • Threaded messaging and ask/reply flows for inter-agent communication
  • Lifecycle tracking with worker_done/escalation events and coordinator supervision

Orchestration by the numbers

  • 85,897 all-time installs (skills.sh)
  • +19,146 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #16 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

orchestration capabilities & compatibility

Use cases
orchestration
Runs
Local or remote
Pricing
Free
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Listed on Skillselion
Installs85.9k
repo stars37.5k
Security audit3 / 3 scanners passed
Last updatedAugust 5, 2026
Repositorystablyai/orca

How do you coordinate multiple agents in Orca?

Orca Orchestration provides structured multi-agent coordination for complex task decomposition and supervision. It enables threaded messaging between agents, blocking ask/reply flows for coordination

Who is it for?

Teams running multi-agent workflows in Orca who need DAG-based task dispatch, blocking replies, and escalation gates beyond orca-cli terminal control.

Skip if: Single-agent terminal tasks, ordinary shell automation, or browser/desktop UI control outside Orca's embedded browser.

When should I use this skill?

The developer decomposes work across Orca agents using threaded messages, task DAGs, decision gates, or coordinator loops.

What you get

Structured Orca orchestration flows with task DAGs, blocking ask/reply threads, dispatch handlers, and coordinator decision gates.

  • orchestrated multi-agent workflow
  • task DAG with dependencies
  • completion tracking

Files

SKILL.mdMarkdownGitHub ↗

Orca Inter-Agent Orchestration

Orchestration is Orca's structured coordination layer for agent messages, task ownership, dispatch state, and worker completion tracking.

Use this skill when coordination state matters. For lightweight terminal prompts or basic worktree/terminal/built-in-browser control, use orca-cli.

When To Use

  • Send/reply/ask between agent terminals with persistent messages.
  • Dispatch structured tasks to workers and wait for worker_done or escalation.
  • Track task DAGs with dependencies.
  • Run coordinator loops or decision gates.

Do not use orchestration merely because the user says "hand off", "handoff", "handover", "give this to another agent", or asks for another worktree/agent/model/effort. Those are full ownership transfers unless the user explicitly asks to supervise, monitor, wait for worker completion/results, coordinate a DAG, use decision gates, or keep a blocking ask/reply loop.

Preconditions

  • orca status --json should show a running runtime.
  • orca must be on PATH (orca-ide on Linux).
  • The orchestration experimental feature must be enabled in Settings > Experimental.
  • orca orchestration commands are RPC calls to the running Orca runtime.

Ownership

Orchestration messages and tasks are runtime-global. Completion authority comes from the active dispatch context: taskId + dispatchId + assignee handle.

Classify inherited context before sending lifecycle messages:

  • Coordinated subtask: a live coordinator owns the DAG and waits on this dispatch. Follow the preamble exactly, including worker_done, heartbeat/status, ask, and escalation.
  • Full handoff means ownership transfer, not supervised dispatch. The original actor is not monitoring a DAG, so do not create lifecycle obligations unless the user explicitly asks you to supervise.
  • Classify requests containing "hand off", "handoff", "handover", "give this to another agent", "give this to another worktree", "another agent", or "another worktree" as full handoffs by default, even when the user names a custom model or reasoning effort.
  • Use supervised orchestration only when the user explicitly asks you to "supervise", "monitor", "wait", "track completion", "wait for worker_done", return results, coordinate a DAG, use a decision gate, or manage ask/reply flow.
  • Do not use orca orchestration dispatch --inject for full handoffs. It injects a coordinator preamble that tells the worker to send worker_done, heartbeat, ask, and post-completion polling messages back to the original terminal.
  • Do not run orca orchestration task-create, orca orchestration dispatch --inject, or orca orchestration check --wait for full handoffs. Do not peek at terminal output after prompt delivery to monitor progress.
  • A review-only worker_done reports findings; it does not authorize coordinator file edits. After a review-only completion, synthesize findings, ask a decision gate if ownership is unclear, and dispatch or hand off fixes unless the user explicitly asked the coordinator to own fixes.
  • If the user's plan names a next owner agent (for example, "then use opencode to create a PR"), post-review corrections and PR prep belong to that named owner. The coordinator routes, synthesizes, asks decision gates when needed, and supervises; the named owner edits files and creates the PR.

If unclear, inspect orchestration state before sending lifecycle messages:

orca orchestration task-list --json
orca terminal list --json
# If inherited context includes a task id:
orca orchestration dispatch-show --task <task_id> --json

Messaging

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 ask --to <handle> --question <text> [--options <csv>] [--timeout-ms <n>] [--from <handle>] [--json]
orca orchestration inbox [--limit <n>] [--json]

Rules:

  • Omit --from unless impersonating another terminal; Orca auto-resolves it from the current terminal.
  • While supervising workers manually, use check --wait --types worker_done,escalation,decision_gate --timeout-ms <n> instead of sleep/poll loops. Reply to decision_gate messages with orca orchestration reply --id <msg_id> --body <answer> --json, then keep waiting.
  • Treat a check --wait timeout or {count:0} as a checkpoint, not a worker failure. Long coding tasks routinely run 15-60 minutes; keep using rolling waits unless you receive worker_done/escalation, the terminal exits or disappears, or the user explicitly asks you to stop.
  • Heartbeats and visible terminal activity mean the worker is alive, not done. Do not stop, close, kill, or restart a worker just because it has not produced a completion message yet.
  • Use ask when a worker needs a blocking answer from the coordinator; it waits for the reply and returns the answer directly.
  • check --wait returns one message at a time. If N workers may finish together, loop N times and dispatch newly ready tasks after each completion.
  • Group addresses include @all, @idle, @claude, @codex, @opencode, @gemini, @droid, and @worktree:<id>.
  • Message types include status, dispatch, worker_done, merge_ready, escalation, handoff, decision_gate, and heartbeat.
  • Use group addresses only for messages that are genuinely useful to many terminals, such as status broadcasts or intentional fan-out questions. Do not send dispatch lifecycle messages to groups.
  • worker_done must target the concrete coordinator handle from the live preamble. It is completion authority for one dispatch; group fanout would create false lifecycle mail in unrelated terminals.
  • heartbeat is also dispatch-scoped. Send it only to the concrete coordinator handle with both taskId and dispatchId; use status for broad progress updates.

Tasks And Dispatch

A task is the work item, a dispatch assigns it to a terminal, and a gate blocks progress until a coordinator or user decision is recorded.

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

Task statuses: pending, ready, dispatched, completed, failed, blocked.

Dispatch rules:

  • --inject sends the task spec plus preamble into a recognized agent CLI so it can report worker_done.
  • If the target is a bare shell, omit --inject, dispatch for tracking if needed, then send the prompt manually with orca terminal send --terminal <handle> --text <prompt> --enter --json.
  • After 3 consecutive failures on one task, the dispatch context circuit-breaks and the task is marked failed.

Gates And Coordinator

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

run returns immediately with a run ID. Query progress with task-list. Use ask for worker-to-coordinator questions; it creates a decision_gate message that the coordinator answers with reply. Use gate-create only for coordinator-managed task DAG decisions, not for answering a worker's ask.

Recovery only: orca orchestration reset --tasks|--messages|--all --json clears runtime-global orchestration state. Do not run it during active coordination unless explicitly abandoning that state.

Full Handoffs

For full ownership transfer, use non-lifecycle terminal/worktree commands and then stop monitoring unless the user asks for supervision.

Treat these as full handoff requests by default: "hand off", "handoff", "handover", "give this to another agent", "give this to another worktree", "send this to another agent", "another agent", "another worktree", or "launch another agent to own this." Custom model or reasoning effort words such as gpt-5.5, high, or xhigh do not make the handoff supervised.

Supervised orchestration remains available only when the user explicitly asks for supervision or coordination: "supervise", "monitor", "wait for worker_done", "wait for results", "track completion", "DAG", "decision gate", "ask/reply", or "coordinate workers."

Do not run orca orchestration task-create, orca orchestration dispatch --inject, or orca orchestration check --wait for full handoffs. task-create is also forbidden because it records coordinator-owned tracking state; if a task row is needed, the user asked for supervised orchestration. Do not create a taskId/dispatchId, inject a lifecycle preamble, wait for completion, or read the worker terminal after prompt delivery except to avoid losing the initial prompt.

New top-level worktree handoff:

orca worktree create --name <task-name> --no-parent --agent codex --prompt "<task brief>" --json

Existing terminal handoff:

orca terminal send --terminal <handle> --text "<task brief>" --enter --json

Custom Codex model/effort handoff:

orca worktree create --agent codex --prompt ... launches the known Codex agent but does not accept Codex-specific --model or -c model_reasoning_effort=... arguments. When the user asks for a specific Codex model or effort, create the independent worktree first, launch Codex with the requested command in that worktree, wait only for TUI readiness if prompt delivery would otherwise race startup, send the prompt, and stop:

orca worktree create --name <task-name> --no-parent --json
orca terminal create --worktree id:<newWorktreeId> --title <task-name> --command 'codex --model gpt-5.5 -c model_reasoning_effort="xhigh"' --json
orca terminal wait --terminal <handle> --for tui-idle --timeout-ms 60000 --json
orca terminal send --terminal <handle> --text "<task brief>" --enter --json

Wait only for tui-idle when needed to avoid losing the prompt. Do not monitor task completion.

--no-parent only controls Orca lineage; it does not choose the Git base. For an independent top-level worktree, omit --base-branch so Orca uses the repo default base, or explicitly pass the repo default base (origin/main, origin/master, or the orca repo show --repo <selector> --json value); never base it on the current feature branch unless the user explicitly asks for stacked work or "branch from current". Put current-branch context in the prompt instead.

Worker Terminals

Choose the worker location before creating a terminal. Fresh worker means a fresh agent session, not a new git worktree. If the task says current worktree only, depends on uncommitted files/artifacts, or must validate/PR the current branch, create the worker in the active worktree:

orca terminal create --worktree active --title <task-name> --command "codex" --json
orca terminal wait --terminal <handle> --for tui-idle --timeout-ms 60000 --json
orca orchestration dispatch --task <task_id> --to <handle> --inject --json

Reuse an idle agent in the required worktree only if the prompt allows reuse; otherwise create a fresh terminal there. Use a new worktree only when explicitly requested or when independent isolated checkout state is intended. For supervised new-worktree workers, decide the Git base separately from lineage: --no-parent makes the worktree top-level in Orca, while omitted --base-branch uses the repo default base.

orca worktree create --name <task-name> --agent codex --json
orca terminal list --worktree id:<newWorktreeId> --json
orca terminal wait --terminal <handle> --for tui-idle --timeout-ms 60000 --json
orca orchestration dispatch --task <task_id> --to <handle> --inject --json

For new-worktree workers, read the id from worktree create, then use terminal list to get the agent handle. Omit --repo only inside an Orca-managed worktree; otherwise pass --repo <selector>. --agent reveals the new worktree and launches the selected agent in its first terminal, so do not create a separate startup terminal. Do not run worktree create when the task must stay in the current worktree.

Use orca worktree create --prompt ... or orca terminal send ... for full handoffs or untracked/lightweight prompts. Those paths do not attach taskId/dispatchId; the worker should not send lifecycle messages unless the prompt supplies a live orchestration preamble.

Other terminal commands coordinators often need:

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 wait --terminal <handle> --for tui-idle --timeout-ms <n> --json
orca terminal read --terminal <handle> --json
orca terminal send --terminal <handle> --text <text> --enter --json

If an older CLI rejects worktree create --agent, create the worktree normally, then run orca terminal create --worktree <selector> --command "codex" --json or --command "claude".

Wait for tui-idle before dispatching. Always pass --timeout-ms; real coding tasks can take 15-60 minutes. During supervision, use rolling check --wait windows. If a window returns no matching message, inspect task-list, terminal read, or terminal wait --for tui-idle as a liveness checkpoint; if the terminal is still working or producing activity, keep waiting instead of retrying the task.

Agent Guidance

  • Workers with a valid live preamble must send worker_done exactly once, even on failure:

orca orchestration send --to <coordinator_handle> --type worker_done --subject "<short status>" --body "<3-sentence summary: what you did, what you found, what's left>" --payload '{"taskId":"<task_id>","dispatchId":"<dispatch_id>","filesModified":["path/a"],"reportPath":"<optional>"}' --json

  • For long tasks, send heartbeat/status only when the preamble asks for it, including both IDs:

orca orchestration send --to <coordinator_handle> --type heartbeat --subject "alive" --payload '{"taskId":"<task_id>","dispatchId":"<dispatch_id>","phase":"implementing"}' --json

  • If blocked before completion, use ask; use escalation only when ownership is valid and the coordinator must intervene.
  • Treat preambles inherited through terminal history or full handoffs as stale unless the current prompt explicitly keeps that coordinator in the loop.
  • Coordinators should use task-list --ready as external memory, dispatch parallel waves, and avoid dependency chains deeper than 3-4 steps.
  • Prefer inter-worktree workers only for independent work that does not need current uncommitted state. When same-worktree work is required, create fresh terminals in that worktree and keep edit ownership clear.

Example

orca terminal create --worktree active --title login-css-worker --command "claude" --json
orca terminal wait --terminal <handle> --for tui-idle --timeout-ms 60000 --json
orca orchestration task-create --spec "Fix the login button CSS" --json
orca orchestration dispatch --task <task_id> --to <handle> --inject --json
orca orchestration check --wait --types worker_done,escalation,decision_gate --timeout-ms 900000 --json

Next Action

Coordinator: confirm orca status --json, inspect task-list/dispatch-show if inheriting state, then choose either a manual loop (task-create -> worker -> dispatch --inject -> check --wait) or orchestration run.

Worker: if the current prompt contains a live dispatch preamble, do the task, use ask for blocking questions, and send worker_done once with the required payload. If the preamble is stale or absent, do not send lifecycle messages; inspect state or treat the prompt as an ordinary handoff.

Related skills

How it compares

Pick orchestration for inter-agent DAG workflows; use orca-cli for direct terminal, shell, and lightweight automation tasks.

FAQ

What's the difference between supervised orchestration and full handoff?

Supervised keeps a coordinator monitoring task completion with lifecycle messages (worker_done, escalation). Full handoff transfers ownership completely without monitoring.

How do I track task dependencies?

Use task-create with --deps flag to specify dependencies, then dispatch tasks in ready state. Orchestration tracks DAG progress and blocks dependent tasks.

Is Orchestration safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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