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orchestrate

Pipeline orchestration: dispatch the highest-priority ready tasks/work units to agents, manage capacity, and coordinate the Todo to Done flow. Invoked as /agiflow:orchestrate. Uses list_tasks, list_active_tasks_by_org, list_members, update_task, get_work_unit_progress.

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AgiFlow/ai-plugin
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May 30, 2026 at 02:02
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name
orchestrate
description
Pipeline orchestration: dispatch the highest-priority ready tasks/work units to agents, manage capacity, and coordinate the Todo to Done flow. Invoked as /agiflow:orchestrate. Uses list_tasks, list_active_tasks_by_org, list_members, update_task, get_work_unit_progress.
tags
["agiflow","mcp","orchestration","dispatch"]
metadata
{"mirrors":"backend/apis/agiflow-api .../prompts/orchestrate.md"}
> Invoked as `/agiflow:orchestrate`. In hosts without slash-prompts, this skill is triggered by matching intent and drives AgiFlow via its MCP tools. **Usage**: - `/agiflow:orchestrate` - Check pipeline state and dispatch the next highest-priority task --- **Guardrails** - This is a read-assess-dispatch loop, not an implementation prompt. - Do NOT implement tasks here — use `/agiflow:run-task` for that. - Keep capacity checks honest: do not dispatch if at capacity. - Report pipeline state even when no dispatch is needed. --- ## AgiFlow Project Management Guidelines Follow the shared AgiFlow project-management guidelines in [`references/agiflow-agents.md`](../../references/agiflow-agents.md) — agent assignment, the task status workflow and transitions, work-unit best practices, and the tags strategy apply to this workflow. --- **Steps** Track these steps as TODOs and complete them one by one. ## 1. Assess Current Pipeline State 1. Use `list_tasks` to count tasks in each active status column: - `status: "In Progress"` — tasks currently being coded by agents - `status: "Testing"` — tasks running test suites - `status: "Review"` — tasks awaiting human review - `status: "Blocked"` — tasks requiring human intervention - `status: "Todo"` — tasks ready for pickup (sorted by priority automatically) 2. Report the pipeline state in a concise table: ``` Pipeline State: ┌──────────────┬───────┐ │ Status │ Count │ ├──────────────┼───────┤ │ Todo │ N │ │ In Progress │ N │ │ Testing │ N │ │ Review │ N │ │ Blocked │ N │ └──────────────┴───────┘ ``` ## 2. Check Capacity 3. Determine active task count: `In Progress` + `Testing` combined. 4. Check capacity limit (default: 3 concurrent active tasks unless specified). 5. If at or above capacity: - Report: "At capacity (N active tasks). No dispatch needed." - List any Blocked tasks that need human attention. - Stop here. ## 3. Prioritize the Todo Queue 6. Use `list_tasks` with `status: "Todo"` to retrieve the ready queue. - Tasks are automatically sorted by priority (high → medium → low). - Within the same priority, tasks are ordered by position then creation date. 7. Review the top candidates: - Show the top 3-5 Todo tasks with: slug, title, priority, assignee, retryCount (from devInfo) - Skip any task where `devInfo.retryCount >= devInfo.maxRetries` (should be Blocked — flag it) ## 4. Dispatch 8. Pick the highest-priority eligible Todo task. 9. Report the dispatch decision: ``` Dispatching: [SLUG] Task title (priority: high) Reason: Highest priority task in Todo queue ``` 10. Instruct the agent to run the task: - Use `/agiflow:run-task <slug>` to execute it - Or if already in an agent session, invoke the run-task prompt directly ## 5. Surface Blocked Tasks 11. If there are any Blocked tasks, list them with their `blockedReason` from devInfo: ``` Blocked Tasks Requiring Human Attention: - [SLUG] Task title: <blockedReason> ``` 12. Suggest actions for each blocked task (e.g., resolve dependency, provide credentials, clarify spec). **Common Mistakes to Avoid** - ❌ Dispatching when already at capacity - ❌ Picking a lower-priority task when a higher-priority Todo exists - ❌ Dispatching a task that has `retryCount >= maxRetries` (it should be Blocked) - ❌ Skipping the pipeline state report - ❌ Attempting to implement the task inside this prompt
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