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.
npx agentmods add skills/mbruhler/claude-orchestration/using-orchestrationnpx skills add mbruhler/claude-orchestration --skill using-orchestrationgit clone --depth 1 https://github.com/mbruhler/claude-orchestrationWrote 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.
[](https://agentmods.dev/skills/mbruhler/claude-orchestration/using-orchestration)<a href="https://agentmods.dev/skills/mbruhler/claude-orchestration/using-orchestration"><img src="https://agentmods.dev/badge/skills/mbruhler/claude-orchestration/using-orchestration.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00047 | $0.00574 |
| Opus 5 | $0.00023 | $0.00287 |
| Sonnet 5 | $0.00009 | $0.00115 |
| Haiku 4.5 | $0.00005 | $0.00057 |
Grade A, and why
using-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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Using the Orchestration System
When to Suggest
Proactively suggest /orchestrate when user describes:
Clear Triggers:
- Multiple agents needed in sequence: "explore then review then implement"
- Parallel operations: "run tests and lint at the same time"
- Conditional workflows: "if tests pass, deploy; if failed, fix and retry"
- Retry logic: "keep trying until it works"
- Workflow automation: "I do this same process often"
- Multiple checkpoints: "I want to review before deploying"
Specific Phrases:
- "coordinate multiple agents"
- "workflow", "pipeline", "orchestrate"
- "run these in parallel"
- "if X then Y"
- "retry until success"
- "automate this process"
How to Introduce
When triggers detected, suggest proactively:
This workflow would benefit from orchestration. I can use `/orchestrate` to:
- Visualize the workflow graph
- Execute agents in parallel where possible
- Handle retries and conditionals
- Provide interactive control at checkpoints
Would you like me to use `/orchestrate [workflow-syntax]` or create a reusable template?
First-time setup reminder:
If user mentions custom agents (like expert-code-implementer, code-optimizer, etc.) that aren't in the orchestration namespace:
I notice you have custom agents in your environment.
Would you like to import them to orchestration first?
Run: /orchestration:init
This will make your custom agents available in workflows as:
- orchestration:expert-code-implementer
- orchestration:code-optimizer
- etc.
Quick Syntax Reference
Show relevant syntax based on user's needs:
Sequential: explore:"task" -> review -> implement
Parallel: [test || lint || security]
Conditional: test (if passed)~> deploy
Retry: @try -> fix -> test (if failed)~> @try
When NOT to Suggest
- Single agent task (no coordination needed)
- Simple sequential tasks (<3 steps, no conditionals)
- User explicitly requests manual coordination
- Task already in progress without orchestration
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.
- 6d ago First seen · 81 lines · 47 tokens per session scan A 1a122970373e
using-orchestration is a skill published in the GitHub repository mbruhler/claude-orchestration (219 stars, last pushed 3mo ago), licensed MIT. It adds 47 tokens to every session and 574 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
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…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
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.
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…
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…