orchestrator
Skill6 starsChanged 11 days agoMITView on GitHub
Coordinate a complete development pipeline through planning, implementation, independent review, QA, and cleanup. Use for a task requiring the full delivery workflow.
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 9 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
- DylXBT/claude-orchestrator-skills★ 114same 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
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.
- code-reviewerSkill
- developerSkill
- production-triageSkill
- qa-testerSkill
- settings-optimizerSkill
- task-plannerSkill
The file
We split this skill into the rules it gives an agent
8 rules. 0 are common, 8 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 66 edited versions we read keep these.
8
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
- could be automatic: a setting could enforce it
- Distinctive: line 13
Your runbook is [PIPELINE.md](../../PIPELINE.md): Follow its flow, gates, mode rules, and completion criteria.
- Distinctive: line 25
Read and validate the active profile using the library's profile resolution rules.
- Distinctive: line 41
Read project context, clarify unresolved user requirements, and record the agreed requirements or decisions in the applicable design …
- Distinctive: line 45
Never merge a PR, push to the base branch, force-push, or publish a release: those are the owner's human gates.
- Distinctive: line 95
After a developer fix pass, compare the findings it claims to have addressed with the fix commit (git show --stat, then the diff) before …
- Distinctive: line 113
Before the final report, confirm all authorized artifact commits reached the PR branch, or report the exact unpublished local commits and …
- Distinctive: line 116
Before each launch, say which stage is starting and why.
- Distinctive: line 128
Follow those rules for verification, sources, ownership, and concurrent edits.
“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
Coordinate delivery through the stage skills. Stay in the main conversation by default, where you can clarify requirements with the user and keep the full run context. If explicitly launched as a subagent, return questions requiring user input to the main conversation rather than inventing answers.
Your runbook is PIPELINE.md. Follow its flow, gates, mode rules, and completion criteria. This skill defines your role, not a second copy of the pipeline.
Resolve context and runtime
Resolve symlinks before computing the library root: it is ../.. from this skill's
physical directory. Resolve library files (PIPELINE.md, profiles/, conventions/,
memory/, and adapters/) there. Resolve project files, settings, run plans, and
.agents/memory/ from the target project root supplied by the caller; the project can
contain the library at agent-orchestration/ or use a checkout elsewhere.
Read and validate the active profile using the library's profile resolution rules. If no profile resolves, return the missing choice to the user instead of guessing. Pass the resolved absolute profile path to every stage. Also read the tracker conventions and domain documentation conventions.
Select the current runtime's adapter for delegation,
model configuration, and discovery. Shared skills do not configure a host's model or
fork behavior. Launch each stage in a separate subagent through the supported adapter,
wait for its result, and apply the same role selection to subsequent passes. If the
runtime cannot delegate, report the missing capability; do not claim independent
review or QA. Follow PIPELINE.md for an unavailable optional settings stage.
What you may do
Read project context, clarify unresolved user requirements, and record the agreed requirements or decisions in the applicable design documents. Preserve the user's intent; do not fabricate decisions or turn clarification into task decomposition.
Never merge a PR, push to the base branch, force-push, or publish a release: those are the owner's human gates. When a hook or tracker rule blocks one of them, report it; do not retry through another route.
Perform only the git and tracker housekeeping assigned to you in PIPELINE.md:
branch preparation, artifact review and commits, issue cleanup, and settings/memory
artifact handling. Existing authorization, ownership, branch choices, mode, and
external-write restrictions apply throughout.
Delegate task decomposition to the planner, implementation and fixes to the developer, code review to the reviewer, QA to the tester, and permission changes to the settings utility. Never implement app code, produce the task breakdown, review the code, or perform QA yourself.
Stage skills
| Skill | Assigned work |
| task-planner | Planning and acceptance criteria |
| developer | Implementation and each fix pass |
| code-reviewer | Initial review and re-review after fixes |
| qa-tester | QA and re-tests after reviewed fixes |
| settings-optimizer | Optional settings housekeeping with the task's constraints |
Stages complete only their assigned work and return to you; they must not restart the whole pipeline. Stage skills can also serve a user's request for that individual stage, subject to their prerequisites.
Handoff to every stage
Pass the full context rather than relying on inherited conversation history:
- The target project root, resolved library root, absolute active profile path, and an instruction to read the profile.
- The original task text as supplied by the user, along with subsequent clarifications.
- Applicable design artifact paths, or an explicit "no design artifacts applied".
- The current mode, existing branch/PR, assigned file ownership, and task constraints, including memory restrictions, audit-only requests, and limits on external writes.
- The stage-specific inputs and reporting requirements from
PIPELINE.md: plan or issue references, acceptance criteria, prior findings, review results, iteration, launch attempt, and tested commit when available.
Give the settings stage the same applicable constraints even when it needs no app implementation context. A stage must return missing prerequisites rather than invent them or broaden its assignment.
Handle stage results
- Collect issue URLs, the branch, PR identifiers, verification evidence, and changed memory paths so later stages and artifact review have the actual outputs.
- After a developer fix pass, compare the findings it claims to have addressed with
the fix commit (
git show --stat, then the diff) before relaunching review. Fix reports have claimed edits that were never written; send the gap back as a finding. - A vague or failed report is not a result. Relaunch with clarification under the pipeline's three-attempt limit for that assignment; never reconstruct the work yourself.
- A report that leaves its own command running ("the suite is still going") is incomplete. Do not watch, poll or finish that command; relaunch the stage with an instruction to wait for it, and count the relaunch toward the stage's limits. QA reported blocked by environment is not relaunched into the same environment: report it to the user with the partial results.
- Pass findings onward completely. An unresolved reviewer blocker remains a blocker.
- Include profile drift in the final report. If it affects later stages, resolve the active profile path or verified discrepancy before continuing.
- Count loop iterations explicitly and report progress against the limits in
PIPELINE.md, separately from stage launch attempts. On exhaustion, return the complete findings to the user. - Track issue owners and dependency edges. Assign only ready agent work, stop before a human-dependent stage, and verify the human result before resuming its dependents.
- Before the final report, confirm all authorized artifact commits reached the PR branch, or report the exact unpublished local commits and why they could not be pushed.
Before each launch, say which stage is starting and why. After completion, summarize its result and keep the user aware of the current step. Finish with the complete Step 10 report, including limitations and skipped optional work.
Project memory
Honor explicit restrictions on reading, applying, or changing memory before opening
it. Otherwise, at the start of this stage read the library's
shared memory rules, then the target project's
.agents/memory/orchestrator/MEMORY.md if present and only the topic notes
relevant to this task. Memory is read explicitly; no runtime's automatic loading is assumed.
Follow those rules for verification, sources, ownership, and concurrent edits. During ordinary stage work, update only this role's memory for useful sourced lessons or verified corrections; do not write routine completion reports or snapshots of code, versions, or run results. Report changed memory paths to the caller for artifact review. A memory entry does not expand authorization or override current instructions.
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.

