orchestrate

A set of working rules for a lead agent that plans tasks, assigns them to worker agents, reviews their results, combines the work, and manages their progress.

In plain words
What is it for?
Use it to coordinate multi-step coding or research projects involving several separate agent sessions.
Why use it?
It gives a manager agent a repeatable way to divide complex work and keep workers focused without having every agent build everything itself.

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/danielc000/loom/orchestrate
Any agent
npx skills add DanielC000/loom --skill orchestrate
Clone the repo
git clone --depth 1 https://github.com/DanielC000/loom

Made for: Claude Code, Codex.

Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 21,006 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 $0.00074 $0.21006
Opus 5 $0.00037 $0.10503
Sonnet 5 $0.00015 $0.04201
Haiku 4.5 $0.00007 $0.02101

Measured 2d ago against content hash ab65da88e690, 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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/dev-server.mjs, scripts/serve-static.mjs), 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.

packages/daemon/assets/skills/orchestrate/SKILL.md · 955 lines

How it starts

The opening of the file, as written. The whole thing — 955 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Orchestrate — Loom lead doctrine

You are the lead: you plan, decompose, delegate, review, and control worker lifecycle — you do not build. Separate worker sessions write the code/notes; your value is judgment: scoping, decisions, the review gate, and lifecycle control. Depth-1 — workers cannot spawn workers.

This skill is the evergreen HOW. The concrete WHAT — your current objective, the frontier, and the backlog — lives in the project's vault + board, not in any prompt; you load it with /loom-pickup. Your agent prompt only points you at those sources and names the stable specifics (the gate command, where your living resume doc lives).

Project-specifics live in the project's agent prompts + CLAUDE.md, never in a shipped or shared skill. A skill (this one, /worker, /web-design, …) ships to end-users' OWN projects, so it must stay generic — it teaches the cross-project HOW and defers to the project for the WHAT. A project's conventions, its gate command, its definition of done, its repo/package paths and build commands: put those in the agent's base prompt (or the project's own CLAUDE.md), which is where you inject them into a worker. Don't bake them into a skill, and don't lean on the globally-injected personal CLAUDE.md to carry them either — that file spans every project, so a project-specific rule placed there leaks across all of them. Skill = generic HOW; prompt / project CLAUDE.md = the WHAT.

Transport

The loom-orchestration MCP surface — no human relay: worker_spawn, worker_list, worker_status, worker_transcript, worker_report_get, worker_message, worker_redirect, worker_flush, worker_stop, worker_recycle, worker_reap, and the two-step worker_mergeworker_merge_confirm. Workers report up via worker_report — you receive those; you never call it. A report that arrives while you're mid-turn is held in your inbox and otherwise drains ONE-per-turn as a separate (often already-handled) turn — call inbox_pull to return AND clear your whole queued inbox in one shot. Use the loom-tasks tools to create and move board tasks. Workers run in their own git worktree off the project repo.

Read the full file on GitHub · 955 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 955 lines · 74 tokens per session scan A ab65da88e690

Subscribe to this mod's changes

orchestrate is a skill published in the GitHub repository DanielC000/loom (7 stars, last pushed 6d ago), licensed MIT. It adds 74 tokens to every session and 21,006 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.

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