Home / vasilyu1983 / ai-agents-public · frameworks/shared-skills/skills/agents-swarm-orchestration/SKILL.md · GitHub

agents-swarm-orchestration skillA

agents-swarm-orchestration is agent-read markdown (skill) from vasilyu1983/ai-agents-public: Coordinates multi-agent execution across subagents, teams, and workflows. Use when planning dependency-aware fan-out, verifier passes, runtime selection, or Loop Engineering..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Swarm Orchestration

Advanced execution layer for multi-worker runs after agent or team selection.

Coordinate multiple workers without polluting the main thread. Use this skill after `agents-subagents` has already selected the right agent, member, team, or debate pattern. This skill is for choosing the orchestration surface, freezing task ownership before fan-out, and requiring structured outputs that the lead agent can validate and merge safely.

## Terminology (Aug 2026)

"Swarm" is community vocabulary — it appears nowhere in Anthropic documentation. Use the official primitive names when writing configs, prompts, or docs; keep "swarm" only as informal shorthand for the whole category.

| Informal | Official primitive | Status (Aug 2026) |
|----------|-------------------|-------------------|
| "swarm of subagents" | **Subagents** | GA. Background behavior is mode-dependent; `background: true` forces background but `false` is not a documented foreground pin. Recursive spawn currently defaults to three layers below the main session |
…

Read the whole file at its exact version.

How to install

Latest version
mdr add vasilyu1983/ai-agents-public/agents-swarm-orchestration@v1.6
Exact content
mdr add vasilyu1983/ai-agents-public/agents-swarm-orchestration@sha256:5981b3c29fa496c6

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

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Versions

versioncommittedcommitsizeaudit
v1.6 latest2026-09-23 8dc5de4 35,034 BA view · diff
v1.52026-09-02 3d5bc7c 34,352 BA view · diff
v1.52026-08-21 53f6cb7 31,532 BA view · diff
v1.42026-08-10 dbde686 29,404 BA view · diff
v1.32026-08-09 da9d28f 27,225 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (35034 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

vasilyu1983/ai-agents-public · 88 stars · license MIT · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_yz4ihdlltq7fs54x
GET https://markdownregistry.com/api/v1/resolve?ref=vasilyu1983/ai-agents-public/agents-swarm-orchestration
GET https://markdownregistry.com/api/v1/blob/5981b3c29fa496c6774f902d7e73a0180af75f1c9f7a4a8e72d9b908234573a4

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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