orchestrate
GitHub通过 /orchestrate <goal> 显式触发，利用 Cursor SDK 将大任务分解为并行子任务。由 Planners 规划、Workers 执行并结构化汇报，实现无需全局协调的自动收敛与任务编排。
Trigger Scenarios
Install
npx skills add sediman-agent/OpenSkynet --skill orchestrate -g -y
SKILL.md
Frontmatter
{
"name": "orchestrate",
"description": "Use only when the user explicitly types `\/orchestrate <goal>` to decompose a large task, spawn a tree of parallel cloud-agent workers\/subplanners\/verifiers via the Cursor SDK, and collect structured handoffs; do not invoke autonomously.",
"disable-model-invocation": true
}
Orchestrate
An explicit /orchestrate <goal> fans out a large task across parallel Cursor cloud agents. Workers don't talk to each other; they talk up through structured handoffs. The spawn, wait, and handoff loop lives in scripts/cli.ts. The planner writes plan.json, the script executes it, and the planner reads handoffs to decide what comes next. Long-running agent loops drift; a script with a JSON state file keeps its footing.
Required reading: the cursor-sdk skill (cursor/plugins/cursor-sdk). Spawning, auth, and the error taxonomy live there. Don't reimplement what that skill already documents.
Setup
CURSOR_API_KEYmust be a personal/user key. Create it from Cursor Dashboard > Integrations, then readcursor-sdkAuth before using it.SLACK_BOT_TOKENis optional. When set, pass--slack-channel <id>tokickoffor the firstrun --root, or setSLACK_CHANNEL_ID. The script stores the channel inplan.slackChannel, posts the kickoff thread there, mirrors task status, and reads Andon reactions. When the token is unset, the script logs once and runs without Slack visibility; correctness does not change.
Core principles
These rules make the tree self-converging without global coordination.
- Planners own scopes and publish tasks. They do no coding. Writing
plan.json, reading handoffs, and deciding what's next are planner work. Editing files, runninggit merge, and fixing conflicts inline are not. If a planner feels the urge to code, it publishes a task for a worker instead. - Planners don't know who picks up their tasks. The script routes each task to a cloud agent. The planner's mental model stays at the task level.
- Workers are isolated. One task, one clone of the repo, no channel to any other agent. One handoff when done.
- Subplanners are recursive planners. A planner publishes a "subplan this slice" task; the subplanner fully owns that slice and hands back an aggregated handoff.
- Continuous motion via handoffs. A planner that thought it was done can receive a late handoff and replan. No "finished" state until the planner decides to stop publishing.
- Propagation, not synchronization. No cross-talk between siblings. No shared state between levels. Each level sees only its children's handoffs.
Node types
| Node | Runs the loop? | Scope | Output |
|---|---|---|---|
| Planner | yes | Entire user goal | User-facing message + optional PR |
| Subplanner (↻) | yes | One slice of parent's scope | Handoff to parent |
| Worker | no | One concrete task | Handoff to spawning planner |
| Verifier | no | One target's acceptance criteria | Verdict handoff to spawning planner |
| Git | n/a | Shared medium | Branches (code) + handoffs/ (meaning) |
Role
Two roles, one skill. Read your role's reference file and skip the other.
Dispatcher. You're in a local IDE session and the user typed /orchestrate <goal>. Your job is to kick off a cloud root planner and return its URL. See references/dispatcher.md. One-shot; you are not the planner.
Planner (root or sub). You were spawned with a structured prompt that opens with "You are the root planner for:" or "You are a subplanner for:". Or the user chose to run the planning loop locally. You own a scope, publish tasks, read handoffs, decide what's next. See references/planner.md.
disable-model-invocation: true means this skill loads only on explicit invocation.
Version History
- c9d8953 Current 2026-07-05 19:52
