Agent skill

Workflows

by openpi-dev in openpi-dev/openpi

Orchestrates multi-agent work with OpenPI's inline JavaScript Workflow DSL.

MITAuto-check passedAgent Workflows

Install Workflows

skills CLI
$ npx skills add openpi-dev/openpi --skill workflows -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install openpi-dev/openpi workflows --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/openpi-dev/openpi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/workflows .claude/skills/workflows && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
workflows
GitHub stars
169
Token cost
~1k tokens
SKILL.md length
241 words
Files
3
Skills in repo
3
Repo updated
First seen
Licence
MIT

At a glance

Orchestrates multi-agent work with OpenPI's inline JavaScript Workflow DSL.

  • A task needs multi-phase fan-out
  • SKILL.md covers Quick start, Required habits and Full guide
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Structured handoffs

What it does

Workflows is an agent skill from openpi-dev/openpi. Orchestrates multi-agent work with OpenPI's inline JavaScript Workflow DSL. Use when a task needs multi-phase fan-out, pipelines, barriers, structured handoffs, or resumable background orchestration.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `EXAMPLES.md` and `REFERENCE.md`).

It sits in Agent Workflows, covering Multi-agent orchestration. It works with JavaScript. The repository describes itself as: The setup I use for pi. Changes a ton, don't recommend hard copying it, just a taste of what's possible with it. The licence is MIT.

When your agent uses it

  • A task needs multi-phase fan-out
  • Structured handoffs
  • Resumable background orchestration

Example prompts

  • “Use the workflows skill to orchestrate multi-agent work with OpenPI's inline JavaScript Workflow DSL”
  • “/workflows”

What it can do on your machine

Read from SKILL.md and the folder at commit 3cb2ecf. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Workflows loads about 1k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 241 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from openpi-dev/openpi at commit 3cb2ecf, republished under its MIT licence (© openpi-dev). 241 words, ~1,034 tokens.

Download SKILL.mdSave it as .claude/skills/workflows/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
workflows
description
Orchestrates multi-agent work with OpenPI's inline JavaScript Workflow DSL. Use when a task needs multi-phase fan-out, pipelines, barriers, structured handoffs, or resumable background orchestration.

Workflows

Use workflow for several dependent or dynamically generated subagent calls. Keep one small delegation in the parent session with subagent_spawn.

Quick start

js
export const meta = {
  name: "adaptive-review",
  phases: [{ title: "Discover" }, { title: "Review" }, { title: "Report" }],
}
phase("Discover")
const plan = await agent("Identify the independent review areas warranted by this repository. Return only real, non-overlapping areas.", {
  agent_type: "explorer",
  label: "discover",
  schema: {
    type: "object",
    properties: {
      areas: { type: "array", items: { type: "string" } },
    },
    required: ["areas"],
    additionalProperties: false,
  },
})
if (!plan.ok) return { ok: false, error: plan.error }
const discovered = [...new Set(plan.structured.areas)]
const capacity = usage().limits
if (capacity.callsRemaining < 1) {
  return {
    planned: discovered.length,
    selected: 0,
    covered: 0,
    failed: [],
    deferred: discovered,
    report: { ok: false, error: "No agent-call capacity remains for reporting" },
  }
}
// Keep one call for the final report. Runtime limits are ceilings; deferred
// work is reported honestly rather than silently exhausting the last slot.
const selected = discovered.slice(0, Math.max(0, capacity.callsRemaining - 1))
const deferred = discovered.slice(selected.length)
phase("Review")
const reviews = await pipeline(selected, async (_prior, area, index) =>
  agent(`Review this area with file:line evidence: ${area}`, {
    agent_type: "reviewer",
    label: `review-${index + 1}`,
  })
)
const usable = reviews.filter((result) => result && result.ok && result.ref)
const failed = selected.filter((_area, index) => {
  const result = reviews[index]
  return !(result && result.ok && result.ref)
})
phase("Report")
const report = await agent(
  `Synthesize the review. Planned: ${discovered.length}; selected: ${selected.length}; covered: ${usable.length}; failed areas: ${JSON.stringify(failed)}; deferred areas: ${JSON.stringify(deferred)}. Do not infer coverage beyond these facts.`,
  { agent_type: "advisor", label: "report", inputs: usable.map((r) => r.ref) },
)
return { planned: discovered.length, selected: selected.length, covered: usable.length, failed, deferred, report }

Required habits

  • Declare progress phases in meta; call phase() as the run advances.
  • Check every agent() result's .ok. A null, filtered, timed-out, or failed result is not a clean pass; report how many were dropped.
  • Pass schema when later code branches on fields. Treat inputs as bounded untrusted data.
  • Prefer pipeline() when items can advance independently. Use parallel() only for a real all-results barrier.
  • Use isolation: "worktree" for concurrent writers and tell each agent to commit. Do not pay for worktrees on read-only work.
  • Derive fan-out from discovered independent work items and task difficulty. Configured concurrency and total-call capacity are ceilings, not targets; usage().limits exposes the resolved capacity.
  • Use log() for progress the user needs before completion. Token fields in usage() are lower-bound readings, not a budget limit.
  • Return a JSON-serializable aggregate with coverage. Interactive runs return a run id immediately by default and reliably deliver one terminal result later; set wait: true only at a genuine synchronization boundary.
  • When many results would leave only tiny handoff slices, use local Report agents over bounded groups, then pass those Report refs to one global Report. Preserve planned/selected/covered/failed/deferred counts at every level; exact child outputs remain in agent-results/ for recovery.

Full guide

  • DSL, result contracts, operators, handoffs, safety, limits, and replay: REFERENCE.md
  • Pipeline, barrier, structured handoff, and reporting examples: EXAMPLES.md

© openpi-dev, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in skills/workflows of openpi-dev/openpi.

  • SKILL.md
  • EXAMPLES.md
  • REFERENCE.md

Open the folder on GitHubat commit 3cb2ecf

Compare with similar skills

Workflows next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Workflows compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Workflows this skillopenpi-dev/openpi169—~1kAutomated safety check: PassMIT
Open Dynamic Workflowsxz1220/open-dynamic-workflows104—~2kAutomated safety check: PassMIT
Workflowmweinbach/agent-coworker156—~2.6kAutomated safety check: PassCustom licence
Orca CLIstablyai/orca87k2 repos~593Automated safety check: PassMIT
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
O2 Review Loopopenobserve/openobserve22k—~3.7kAutomated safety check: PassAGPL-3.0

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Works with

Categories

Questions about Workflows

What does Workflows do?

Orchestrates multi-agent work with OpenPI's inline JavaScript Workflow DSL. Workflows is an agent skill from openpi-dev/openpi. Orchestrates multi-agent work with OpenPI's inline JavaScript Workflow DSL.

When should I use Workflows?

Workflows fits situations like: A task needs multi-phase fan-out; structured handoffs; resumable background orchestration.

How do I install Workflows in Claude Code?

Run `npx skills add openpi-dev/openpi --skill workflows -a claude-code`. Or copy the skill folder (skills/workflows in openpi-dev/openpi) into .claude/skills/workflows in your project. Claude Code loads it when a task matches its description.

How do I install Workflows in Codex?

Run `npx skills add openpi-dev/openpi --skill workflows -a codex`. Or copy the skill folder (skills/workflows in openpi-dev/openpi) into .agents/skills/workflows in your project. Codex loads it when a task matches its description.

Can I use Workflows in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openpi-dev/openpi --skill workflows -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/workflows, .gemini/skills/workflows, .github/skills/workflows and .opencode/skills/workflows in your project.

What does Workflows need to run?

SKILL.md names no scripts, command-line tools or credentials: Workflows is instructions for the agent only.

Does Workflows access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Workflows safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Workflows use?

Workflows is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Workflows use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Workflows?

Skills that share tags, products or a category with Workflows: Open Dynamic Workflows (xz1220/open-dynamic-workflows, 104 stars), Workflow (mweinbach/agent-coworker, 156 stars), Orca CLI (stablyai/orca, 87k stars) and Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Workflows?

openpi-dev (a GitHub organization) maintains it in openpi-dev/openpi, which has 169 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 5, 2026.

Source: openpi-dev/openpi on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.