pi-dispatch

pi-dispatch is a skill for Claude Code, Codex from jakubgajski/pi-dispatch-skill. It costs 73 tokens per session (1,813 once invoked), scanned A, original, MIT.

A workflow for coordinating multiple Pi coding agents, including agents that work on separate tasks. It tracks task dependencies, so work that relies on another task waits for it.

In plain words
What is it for?
Use it to split a coding plan into dependent or parallel subtasks, give agents separate Git workspaces, retry failed work, and collect machine-readable results.
Why use it?
It reduces manual coordination and keeps parallel changes isolated from one another. Automatic retries and structured JSON results make agent runs easier to monitor.

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/jakubgajski/pi-dispatch-skill/pi_dispatch
Any agent
npx skills add jakubgajski/pi-dispatch-skill --skill pi_dispatch
Clone the repo
git clone --depth 1 https://github.com/jakubgajski/pi-dispatch-skill

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for pi-dispatch

README.md
[![agentmods](https://agentmods.dev/badge/skills/jakubgajski/pi-dispatch-skill/pi_dispatch.svg)](https://agentmods.dev/skills/jakubgajski/pi-dispatch-skill/pi_dispatch)
Your own site
<a href="https://agentmods.dev/skills/jakubgajski/pi-dispatch-skill/pi_dispatch"><img src="https://agentmods.dev/badge/skills/jakubgajski/pi-dispatch-skill/pi_dispatch.svg" alt="Measured on agentmods" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,813 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00073 $0.01813
Opus 5 $0.00036 $0.00907
Sonnet 5 $0.00015 $0.00363
Haiku 4.5 $0.00007 $0.00181

Measured 5d ago against content hash b9a771a3ad4d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pi-dispatch 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 5d ago.

The scan reads SKILL.md. This mod also ships 11 executable files (__init__.py, config.py, dag.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

pi_dispatch/SKILL.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pi-Dispatch Skill

Describes how to delegate coding plans to orchestrated teams of pi agents. Claude's role: write JSON → run script → read JSON.

Path convention: {{SKILL_DIR}} = the directory containing this SKILL.md. Resolve it from the file path you used to read this skill. All paths below are relative to {{SKILL_DIR}}.

When to Use

Use pi-dispatch for any pi agent work. Use the native Agent tool for Claude subagents (sonnet/opus/haiku).

Config

{{SKILL_DIR}}/config.json — edit pi_models to swap models, default_timeout_minutes for global default.

{
  "provider": "openrouter",
  "default_timeout_minutes": 5,
  "task_routing": {
    "hard": { "pi_tier": "hard" },
    "moderate": { "pi_tier": "hard" },
    "easy": { "pi_tier": "easy" },
    "mechanical": { "pi_tier": "easy" },
    "verification": { "pi_tier": "easy" }
  },
  "pi_models": {
    "hard": ["xiaomi/mimo-v2.5-pro", "z-ai/glm-5.1"],
    "easy": [
      "qwen/qwen3.6-plus",
      "deepseek/deepseek-v4-pro",
      "z-ai/glm-5-turbo"
    ]
  }
}

Step 1 — Write the dispatch JSON

Write to .pi_agent_dispatch/<YYYYMMDDTHHmmss>.json:

{
  "spawned_at": "2026-05-02T10:00:00",
  "task": "one-line description",
  "agents": [
    {
      "id": "research",
      "task_type": "easy",
      "timeout_minutes": 10,
      "depends": [],
      "prompt": "Full self-contained prompt. End with: \"Output a concise summary of changes made.\"\nUse relative paths — pi runs inside the worktree."
    },
    {
      "id": "implement",
      "task_type": "hard",
      "depends": ["research"],
      "prompt": "..."
    },
    {
      "id": "tests",
      "task_type": "easy",
      "depends": ["implement"],
      "prompt": "..."
    },
    {
      "id": "docs",
      "task_type": "mechanical",
      "depends": ["implement"],
      "prompt": "..."
    },
    {
      "id": "special",
      "pi_model": "xiaomi/mimo-v2.5-pro",
      "depends": ["tests", "docs"],
      "prompt": "..."
    }
  ]
}

Read the full file on GitHub · 188 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. 5d ago First seen · 188 lines · 73 tokens per session scan A b9a771a3ad4d

Subscribe to this mod's changes

pi-dispatch is a skill published in the GitHub repository jakubgajski/pi-dispatch-skill (5 stars, last pushed 2mo ago), licensed MIT. It adds 73 tokens to every session and 1,813 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens