# Orchestrate

Pipeline orchestration: dispatch the highest-priority ready tasks/work units to agents...

- Repository: https://github.com/hashgraph-online/awesome-codex-plugins (1479 stars)
- Category: AI and agents
- License: Apache-2.0
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add hashgraph-online/awesome-codex-plugins --skill orchestrate -g -a claude-code -y`
Codex: `npx skills add hashgraph-online/awesome-codex-plugins --skill orchestrate -g -a codex -y`
Cursor: `npx skills add hashgraph-online/awesome-codex-plugins --skill orchestrate -g -a cursor -y`
Gemini CLI: `npx skills add hashgraph-online/awesome-codex-plugins --skill orchestrate -g -a gemini-cli -y`

## 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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

> 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

The rest: https://github.com/hashgraph-online/awesome-codex-plugins/blob/HEAD/plugins/AgiFlow/ai-plugin/skills/orchestrate/SKILL.md