orchestrator
Skill114 starsChanged 5 months agoMITView on GitHub
Assemble the user's context brain, skills, connectors, and pipelines into one system they actually run end-to-end — and document it so a teammate could run it too. The capstone meta-skill. Works for any role.
80 other projects use a version of this.
Adopted by
Most recently taken up by
- BrightGold70/skillstheir own version, first seen Nov 8, 2026
- Veeiy/agent-skillstheir own version, first seen Nov 8, 2026
- Mehul72/skillstheir own version, first seen Nov 8, 2026
- pietz/skillstheir own version, first seen Nov 8, 2026
- kcns008/cluster-skillstheir own version, first seen Nov 8, 2026
- soilmass/motion-design-agenttheir own version, first seen Nov 8, 2026
Used with
Projects with it also use worker, reviewer and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
stotihvSkillworker
Execute beads autonomously within a track. Handles bead-to-bead context persistence via Agent Mail, uses preferred tools from AGENTS.md, and reports progress to orchestrator.
Also in 3 projects that use this
MicrosoftSkillreviewer
ASP.NET Core ハンドブックの記事をレビューする。Use when: 記事をレビューする、ドキュメントを校正する、コードレビューする、PRをレビューする。技術ドキュメントのレビュー、品質チェック、校正。
Also in 4 projects that use this
am-willSkillplanner
Create comprehensive, phased implementation plans with sprints and atomic tasks. Use when user says: "make a plan", "create a plan", "plan this out", "plan the implementation", "help me plan", "design a plan", "draft a plan", "write a plan", "outline the steps", "break this down into tasks", "what's the plan for", or any similar planning request. Also triggers on explicit "/planner" or "/plan" commands.
Also in 4 projects that use this
yakatotechSkilladvisor
Provide improvement suggestions and advice on work content. Use for document review, efficiency suggestions, and best practices
Also in 3 projects that use this
AWSSkillplanning
Discovers user intent and generates a structured, step-by-step plan for model customization workflows. This skill must always be activated alongside any other skill when the user's request relates to model customization — including fine-tuning, training, building, customizing, reviewing data, or getting advice on approach, regardless of domain. Do not skip this skill even if the immediate ask is narrow (e.g., reviewing data format or a single workflow step), because planning discovers the full scope of work needed. Also activate when the user wants to resume, continue, or modify an existing plan.
Also in 3 projects that use this
OpenAISkillobservability
Vercel Observability expert guidance — Drains (logs, traces, speed insights, web analytics), Web Analytics, Speed Insights, runtime logs, custom events, OpenTelemetry integration, and monitoring dashboards. Use when instrumenting, debugging, or optimizing application performance and user experience on Vercel.
Also in 3 projects that use this
Other versions80 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 80
- nubjs/nub★ 4.4ksame name
- SirAllap/agentglass★ 347same name
- nwiizo/claudelytics★ 88same name
- nahisaho/MUSUBI★ 74same name
- olivieropinotti/orchestrator-skill★ 70same name
- sanky369/vibe-building-skills★ 30same name
- felvieira/claude-skills-fv★ 27same name
- robertbstillwell/marketing-skills★ 26same name
- kcns008/cluster-agent-swarm-skills★ 25same name
- maroffo/claude-forge★ 17same name
70 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository6 other files it gives its agents.
- connector-setupSkill
- context-brainSkill
- pipeline-builderSkill
- prompt-architectSkill
- skill-authorSkill
- work-engineSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 66 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
Ask what the user already has (and help them build any gaps with the matching skill):
- Distinctive: line 44
Write a short runbook: how to trigger it, what each part does, and how to recover when something's off.
- Distinctive: line 50
If you can't document it, it isn't finished.
“Common” is measured: kept by at least 6 in 10 of the 66 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Orchestrator
The payoff of the other skills is a system, not a pile of parts. This skill wires a user's context brain, skills, connectors, and pipelines into one workflow they run for real — and writes it down so it survives them being on holiday.
Role-agnostic. The orchestrator is whatever recurring, high-value workflow matters most in the user's world.
Step 1 — Inventory
Ask what the user already has (and help them build any gaps with the matching skill):
- A context brain? (
context-brain) - Any skills for recurring tasks? (
skill-author) - Connectors to their live tools? (
connector-setup) - A pipeline for their multi-step work? (
pipeline-builder)
Then ask the key question: what's the one workflow worth orchestrating first? Pick a real, recurring, high-value one — not a toy.
Step 2 — Assemble the flow
Map that workflow as a single flow that connects the parts:
TRIGGER → which brief/event starts it
CONTEXT → the brain it reasons from
SOURCES → the connectors it reads live
STEPS → the pipeline/skills that do the work
OUTPUT → the deliverables + the report
LEARN → what folds back into the brainThe goal is no manual glue — the user drops in a brief and the system runs.
Step 3 — Run it end-to-end
Push one real instance through, brief to output, with no copy-paste in the middle. Where it breaks is where a part is missing or a hand-off is unclear — fix that part, not the symptom.
Step 4 — Document it (the real test)
Write a short runbook: how to trigger it, what each part does, and how to recover when something's off. The test of an orchestrator is that a teammate could run it without the person who built it.
Rules
- Orchestrate one real workflow well before adding a second.
- The best system is boring in the best way — one you'll still be running in three months.
- If you can't document it, it isn't finished.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

