orchestration

orchestration is a skill for Claude Code, Codex from xiaolai/nlpm. It costs 42 tokens per session (2,908 once invoked), scanned A, original, ISC.

Patterns for coordinating multiple Claude Code agents, where each agent is a separate worker handling part of a task. It describes parallel work, step-by-step pipelines, quality checks, and retries.

In plain words
What is it for?
Use it when designing workflows with several agents, commands, or processing stages.
Why use it?
It helps structure work that is too broad or dependent for one agent to handle clearly in a single pass.

Skill for Claude CodeCodex

Part of the nlpm plugin — 17 skills, 12 commands, 8 agents, 1 hook shipped together

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/xiaolai/nlpm/orchestration
Any agent
npx skills add xiaolai/nlpm --skill orchestration
Clone the repo
git clone --depth 1 https://github.com/xiaolai/nlpm

Made for: Claude Code, Codex.

Or install nlpm, the plugin that ships this one along with the rest of its 17 skills, 12 commands, 8 agents, 1 hook.

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 orchestration

README.md
[![agentmods](https://agentmods.dev/badge/skills/xiaolai/nlpm/orchestration.svg)](https://agentmods.dev/skills/xiaolai/nlpm/orchestration)
Your own site
<a href="https://agentmods.dev/skills/xiaolai/nlpm/orchestration"><img src="https://agentmods.dev/badge/skills/xiaolai/nlpm/orchestration.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,908 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 $0.00042 $0.02908
Opus 5 $0.00021 $0.01454
Sonnet 5 $0.00008 $0.00582
Haiku 4.5 $0.00004 $0.00291

Measured 4d ago against content hash 9f040fe0beb4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

orchestration 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 4d 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.

codex/skills/orchestration/SKILL.md · 371 lines

How it starts

The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Orchestration

Scope: covers multi-agent workflow design. For individual agent authoring, see [[writing-agents]]. For plugin architecture, see [[writing-plugins]].

1. Four Orchestration Patterns

Pattern A: Parallel Dispatch

Multiple agents run simultaneously on independent work. A command dispatches them via the Task tool and synthesizes results.

Command dispatches via Task:
  |-- agent-1 (analyzes security)
  |-- agent-2 (analyzes performance)
  |-- agent-3 (analyzes architecture)
  --> Command synthesizes all results into final report

Use when: agents don't depend on each other's output.

Real examples:

  • grill plugin: 6 review agents analyze code from different angles in parallel
  • docs-guardian: 4 agents (staleness, accuracy, coverage, quality) run simultaneously

Implementation pattern in command body:

## Execution
1. Dispatch the following agents in parallel using Task:
   - security-agent: analyze for vulnerabilities
   - performance-agent: analyze for bottlenecks
   - architecture-agent: analyze for structural issues
2. Collect all agent outputs
3. Synthesize into a unified report with cross-references

Key decisions:

Decision Recommendation
Max parallel agents 6 (diminishing returns above this)
Timeout per agent 120 seconds for sonnet, 300 for opus
Failure handling Continue with other agents if one fails
Result merging Deduplicate findings that appear in multiple agents

Pattern B: Sequential Pipeline

Each stage feeds into the next. Output of stage N is input to stage N+1.

parse --> chunk --> summarize --> QC --> output

Use when: each stage depends on the previous stage's output.

Real examples:

  • reading-assistant: parse PDF -> chunk content -> summarize chunks -> QC summaries -> output
  • tdd-guardian: discover tests -> run tests -> check coverage -> analyze failures -> report -> enforce

Implementation pattern:

## Execution
### Phase 1: Parse (haiku)
1. Scan input files
2. Extract structured content
3. Output: parsed data as JSON

### Phase 2: Process (sonnet)
4. Receive parsed data from Phase 1
5. Analyze and transform
6. Output: processed results

### Phase 3: QC (sonnet)
7. Verify Phase 2 output meets quality bar
8. Output: pass/warn/fail verdict

### Phase 4: Output
9. If QC passed: format and deliver final report
10. If QC failed: report failures and stop

Read the full file on GitHub · 371 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. 4d ago First seen · 371 lines · 42 tokens per session scan A 9f040fe0beb4

Subscribe to this mod's changes

orchestration is a skill published in the GitHub repository xiaolai/nlpm (134 stars, last pushed today), licensed ISC. It adds 42 tokens to every session and 2,908 once invoked, about $0.0002 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 2026-08-30.

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