orchestrate

A pipeline coordinator for AgiFlow, a system that assigns and tracks software work units.

In plain words
What is it for?
Checking task statuses, finding the highest-priority ready work, and dispatching it to agents; it does not implement the task.
Why use it?
It shows the current work queue and helps assign ready tasks without exceeding available agent capacity.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/agiflow/ai-plugin/orchestrate
Any agent
npx skills add AgiFlow/ai-plugin --skill orchestrate
Clone the repo
git clone --depth 1 https://github.com/AgiFlow/ai-plugin

Made for: Claude Code, Codex.

Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,004 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00064 $0.01004
Opus 5 $0.00032 $0.00502
Sonnet 5 $0.00013 $0.00201
Haiku 4.5 $0.00006 $0.00100

Measured 2d ago against content hash 2cc32b064197, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

orchestrate scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to orchestrate — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/orchestrate/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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 — 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

  1. Determine active task count: In Progress + Testing combined.
  2. Check capacity limit (default: 3 concurrent active tasks unless specified).
  3. If at or above capacity:
    • Report: "At capacity (N active tasks). No dispatch needed."
    • List any Blocked tasks that need human attention.
    • Stop here.

Read the full file on GitHub · 110 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 110 lines · 64 tokens per session scan A 2cc32b064197

Subscribe to this mod's changes

orchestrate is a skill published in the GitHub repository AgiFlow/ai-plugin (2 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 1,004 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to orchestrate, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

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 listtasks, listactivetasksbyorg, listmembers, updatetask, getworkunitprogress.

hashgraph-online/awesome-codex-plugins · 64 tokens

agency-os

Notion-as-source-of-truth dispatch board for running your work like an AI agency. One Tasks database is the source of truth; tasks flow Suggestion through Discussion, To-Do, In Progress, and Done with subtasks, recurring cadences, dependencies, and template subtrees. Batch execution fans approved To-Do rows out to…

jeremylongshore/tons-of-skills-marketplace · 142 tokens

goal-flight

Portable Goal Flight workflow for long-running repo work: planning, dispatch, review, recovery, file-backed resume.

simonrowland/goal-flight · 25 tokens

dispatch

Use when a task file exists in .hyperflow/tasks/ and workers need dispatching. Fans out parallel workers under per-batch Reviewers, runs a final integration review, and commits per sub-task. Endpoint of the auto-chain — no auto-deploy. Trigger with /hyperflow:dispatch, "run the plan", "execute the task", "build it"…

jeremylongshore/tons-of-skills-marketplace · 81 tokens

roadmap

Maintain and update the Atmos roadmap page (website/src/data/roadmap.js): milestone/initiative/quarter schema, progress-percentage math, the curated featured[] cap (max 6, never auto-modified), and the no-changelog-for-internal-refactors gate. Invoke when adding/updating milestones, initiatives, or quarters, or…

cloudposse/atmos · 80 tokens

handoff

Use when managing a two-session handoff — inspecting, picking up, or reviewing a committed handoff package produced by a session=two scope run. The operator interface over the cross-environment handoff lifecycle (plan in one session, build in another, review back in the first). Trigger with /hyperflow:handoff, "list…

jeremylongshore/tons-of-skills-marketplace · 88 tokens