orchestrate
Skill8 starsChanged 48 days agoMITView on GitHub
Turn any task into a model-tiered multi-agent plan, decompose it into
161 other projects use a version of this.
Adopted by
Most recently taken up by
- alexratmanpl/business-agent-skillstheir own version, first seen Nov 8, 2026
- gtonkov/claude-codetheir own version, first seen Nov 8, 2026
- edilsonvilarinho/usage-monitortheir own version, first seen Nov 8, 2026
- nathanonn/agent-skillstheir own version, first seen Nov 8, 2026
- peterpme/skillstheir own version, first seen Nov 8, 2026
- GDriem/agent-skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use define-requirements, orchestrate-plan 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.
sson0-erSkilldefine-requirements
Work with the user, one question at a time, to complete the requirements document (docs/claudex/<slug>/01-requirements.md). Run by the orchestrator (parent). Stays out of design and implementation.
Also in 3 projects that use this
EternallLightSkillorchestrate-plan
Use when executing a locked, reviewed PLAN.md by delegating the implementation to visible worker agents in Orca, herdr, or cmux ONE PHASE at a time — splitting the plan into context-window-sized phases, giving every phase a pristine worker context, and (when the plan touches INDEPENDENT repos) running one worker per repo IN PARALLEL. Triggers on "run the plan with a worker", "execute the plan in the other pane", "split the plan into phases and build it with workers", "build the backend and frontend in parallel panes". Not for edits you can finish inline; outside Orca, herdr, or cmux use tgc-skills:orchestrate.
Also in 3 projects that use this
sson0-erSkillrecord-evidence
How to record external facts (docs, command output, codebase findings) as evidence and design choices as decisions. Used by the researcher, designer and reviewer agents.
Also in 3 projects that use this
PinkneyJiangSkillimprove-architecture
扫描代码库中的架构摩擦点,识别浅模块并挖掘深模块演进机会。生成可视化交互式 HTML 诊断报告,并在用户确认后闭环实施深度重构。
Also in 4 projects that use this
kjnezSkillticket
Work on a JIRA/Linear ticket end-to-end: read ticket details, explore codebase, create a branch, implement with TDD, run quality checks, update ticket status, and create a PR. Use when the user provides a ticket ID to implement. Triggers on requests like "/ticket PROJ-123", "work on this ticket", "implement PROJ-123".
Also in 4 projects that use this
xfstudioSkillreverse-engineer
Expert reverse engineer specializing in binary analysis,
Also in 3 projects that use this
Other versions161 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 161
- Significant-Gravitas/AutoGPT★ 188ksame name
- rohitg00/pro-workflow★ 2.9ksame name
- apmantza/pi-lens★ 521same name
- boshu2/agentops★ 453same name
- quantumaikr/quant.cpp★ 403same name
- Noizefield/audio-plugin-coder★ 334same name
- kagenti/kagenti★ 303same name
- varun29ankuS/shodh-memory★ 294same name
- provencher/codex-skills★ 271same name
- first-fluke/fullstack-starter★ 226same name
151 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 repository53 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- agent-browserSkill
- anything-to-skillSkill
- ci-generateSkill
- ci-localSkill
- clotho-researchSkill
- codex-imagegenSkill
- create-ruleSkill
- create-skillSkill
- db-migrateSkill
- docker-initSkill
- docs-adrSkill
- docs-checkSkill
- docs-diagramSkill
- docs-initSkill
- docs-rfcSkill
- docs-updateSkill
- env-setupSkill
- find-skillsSkill
- fix-bugSkill
- git-commitSkill
- git-create-prSkill
- gitflowSkill
- git-releaseSkill
- git-syncSkill
- i18n-checkSkill
- implement-featureSkill
- improve-skillSkill
- inject-docsSkill
- jira-cliSkill
- motion-studioSkill
- optimize-ai-setupSkill
- oss-launchSkill
- prd-to-issuesSkill
- product-design-specSkill
- product-design-tokensSkill
- product-prdSkill
- project-illustratorSkill
- project-plannerSkill
- refactorSkill
- renderSkill
- review-codeSkill
- review-depsSkill
- review-designSkill
- review-perfSkill
- review-planSkill
- review-securitySkill
- shipSkill
- stopslopSkill
- test-suiteSkill
- vrt-checkSkill
- wtfSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 3 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 144 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 30
Before decomposing anything, check whether the task genuinely splits into 2+ independent pieces of real work.
- Distinctive: line 37
If it passes this bar, continue to Step 1.
- Very specific: line 60
Every spawn call MUST set model explicitly.
- Very specific: line 85
If the task touched code, run the project's real verification commands (test/lint/ build): discover them from the repo, don't assume npm …
- Distinctive: line 92
Run the exact same Step 1-4 structure yourself, inline, sequentially, in dependency order: research tracks first, then planning, then …
“Common” is measured: kept by at least 6 in 10 of the 144 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
Orchestrate
Turn a task into a model-tiered multi-agent plan, run it, and synthesize the result yourself.
Task
$ARGUMENTS
Step 0: Is orchestration warranted?
Before decomposing anything, check whether the task genuinely splits into 2+ independent pieces of real work. A task confined to one file, needing just one command, or with a single obvious fix, doesn't need a plan or a subagent: do it directly and say so in one line. Below that bar, spawning, tracking, and merging subagents costs more than the work itself, and a fabricated multi-phase plan for a one-line change is worse than no plan.
If it passes this bar, continue to Step 1.
Step 1: Decompose
Break the task into subtasks. For each, state its concrete input, its expected output, and classify it as one of:
| Classification | Covers |
| research | exploration, search, finding code or facts, reading, gathering information; no code written |
| implementation | writing or editing code, config, or content |
| planning | architecture/design decisions, non-trivial trade-off calls |
| synthesis | merging multiple subagents' outputs into one final deliverable |
Step 2: Model table (model is required, never inherited)
| Classification | subagent_type | model | Why |
| research | Explore | haiku | cheap, good at search/find/read; use haiku for every research subtask, even if spawned as general-purpose |
| planning | Plan | opus | best reasoning for architecture/trade-offs |
| implementation | general-purpose (or the repo's own agent) | sonnet | balance of cost and capability |
| synthesis | n/a (orchestrator itself) | n/a | never delegate the final merge |
Every spawn call MUST set model explicitly. An unset model silently inherits the
caller (often the most expensive model available) and defeats the whole point of
tiering. Treat a missing model field as an incomplete call, not a default to fill in
later.
Step 3: Parallelize with strict file ownership
Group subtasks into independent tracks: a track is independent if it shares no file or directory with any other track. Before spawning, write down the ownership map (track → files/dirs it will touch) and confirm no two tracks overlap. Two agents editing the same file is a merge conflict you caused, not one you'll resolve later: split the map instead of hoping it works out.
Spawn every independent track's subagent(s) in parallel: multiple Task calls in the
same turn. Sequential subtasks (B depends on A's output) run one after another in the
same session, passing A's actual output forward, never a paraphrase of it.
Step 4: Orchestrator does the synthesis and the git
Once every track reports back:
- Review each subagent's actual diff or output: don't take a subagent's self-report on faith.
- Merge/synthesize the final deliverable yourself. Never spawn a subagent to do the final merge.
- If the task touched code, run the project's real verification commands (test/lint/
build): discover them from the repo, don't assume
npm testormake testexist. - Any git operation (commit, push) is the orchestrator's job alone: no subagent commits.
Portability: no Task/subagent tool available
Run the exact same Step 1-4 structure yourself, inline, sequentially, in dependency order: research tracks first, then planning, then implementation, then your own synthesis. Nothing about the plan's correctness depends on subagents existing; they're a speed optimization, not a requirement.
Worked examples
Research sweep (independent, parallel research tracks)
Task: "Research current pricing for 4 competitors, write a comparison table."
- 4 research subtasks (one per competitor), each
Explore/haiku, no shared file: spawn all 4 in the same turn. - Orchestrator synthesizes the 4 reports into the comparison table itself.
Codebase-wide refactor (independent, parallel implementation tracks)
Task: "Rename Invoice to Bill across models/, api/, tests/, docs/."
- One research subtask first (
Explore/haiku): grep every reference, return the full list. - 4 implementation subtasks, one per directory, each
general-purpose/sonnet, ownership map ={models/, api/, tests/, docs/}with zero overlap. - Orchestrator runs the test suite, reviews all 4 diffs, commits once, alone.
Mixed build (research → plan → parallel implementation → synthesis)
Task: "Add a new payment provider integration."
- 1 research subtask (
Explore/haiku): find the existing provider abstraction and its test patterns. - 1 planning subtask (
Plan/opus): design the new provider's interface against what research found. - 2-3 parallel implementation subtasks (
sonnet) against the approved plan, one per component (client, tests, config), each with a distinct file scope. - Orchestrator integrates, verifies, commits.
Output format
Report the subtask list with each classification and model, the parallel groupings actually run, and the synthesized result. If Step 0 concluded orchestration wasn't warranted, say so in one line and do the work directly instead: no plan needed for that case.
Usage
/orchestrate Research current pricing for 4 payment competitors and write a comparison table
/orchestrate Rename the Invoice model to Bill everywhere in the codebase
/orchestrate Add support for a new payment provider (client + tests + config)Does it work?
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