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Orchestrator

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sanky369
orchestrator

Dispatcher for the creative suite: diagnoses a multi-asset creative request with a few questions, then routes it through the right sequence of creative skills, naming the artifact each step passes to the next, and wires in the FAL.ai automation (single model fal-ai/nano-banana-pro via docs/creative_cli.py) when available. Use when the user asks for several creative deliverables at once or an outcome that implies them — 'assets for my product launch', 'set up my brand visuals', 'I need a logo, product shots, and social posts', 'a week of content', 'rebrand everything' — or when it's unclear which creative skill applies. Produces a Creative Production Plan: chosen route, ordered skill sequence with hand-off artifacts, generation checklist, and asset output map. For a single obvious asset, skip this and use the specific skill directly.

Overview

Publishersanky369
Repositoryvibe-building-skills
Skill nameorchestrator
Stars
31
Forks
7
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by sanky369 on GitHub. Read the source before you install it.

Installation

Install the Orchestrator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/sanky369/vibe-building-skills/tree/main/skills/creative/orchestrator
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/sanky369/vibe-building-skills.git /tmp/vibe-building-skills
mkdir -p .claude/skills
cp -r /tmp/vibe-building-skills/skills/creative/orchestrator .claude/skills/orchestrator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Orchestrator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Orchestrator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Orchestrator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Creative Orchestrator

Route multi-asset creative work through the right skills in the right order, so style gets decided once and every downstream asset inherits it. Prime rule: strategy before pixels. Never let generation start before a style anchor exists — assets generated pre-brief get regenerated. You are a dispatcher, not a lecturer: diagnose fast, pick one route, name what each step hands to the next.

When to use / when not to

Use when the request spans multiple asset types, names an outcome rather than an asset ("launch assets", "brand refresh", "content for the month"), or the right skill is ambiguous. Do NOT use for a single clear asset — route directly: one logo → skills/creative/brand-asset; one product shot → skills/creative/product-photography; one Instagram post → skills/creative/social-graphics; one generic image → skills/creative/image-generation.

Intake (diagnostic — one batch)

  1. Outcome — what event/goal are these assets for (launch, rebrand, ongoing content, storefront, video)?
  2. What exists — style guide or Creative Direction Brief? Logo/brand assets? Product photos? (Existing artifacts skip their producing step.)
  3. Deliverables & destinations — which assets, where they'll live (platforms, store, site)?
  4. Automation — is FAL_API_KEY (or FAL_KEY) set? If unknown, check: python docs/creative_cli.py test

Don't stall: with the outcome known, infer the rest from context, state assumptions, and present the plan. If automation is unavailable, the plan still runs — every step's deliverable becomes prompt specs plus runnable commands instead of generated files.

Routing table

Pick ONE route by the first rule that matches. Sequence is by dependency; each arrow names the artifact passed forward.

Decision rules

  • No style anchor exists and >1 asset is needed → every route below starts with skills/creative/creative-strategist.
  • Brand marks are among the deliverables → brand-asset runs before any skill that reuses the marks.
  • Video deliverables → stills first (they are the video's source material).
RouteTriggerSequence (artifact passed forward)
A — Brand identity from zero"new brand", "set up my brand visuals", nothing existscreative-strategist (Creative Direction Brief + style block) → brand-asset (approved logo/icons/pattern + guide entries) → social-graphics and/or product-photography (launch-ready assets using marks + style block)
B — Product launch, identity exists"launch assets", "images for my store/landing page"product-photography (winning shot set) → social-graphics (platform posts reusing the shots) → optional product-video (script/plan consuming hero stills)
C — Social campaign / content series"week of content", "posts for X", ongoing presencecreative-strategist (skip if brief exists) → social-graphics (per-platform graphics) → optional image-generation (thumbnails, misc visuals via custom CLI)
D — Rebrand / refresh"rebrand", "new look", "our visuals feel stale"creative-strategist (revised brief; diff vs old style) → brand-asset (regenerated marks) → social-graphics (announcement assets) → re-run B for product imagery if it exists
E — Video-led"product video", "presenter video", "animated demo"prerequisite stills via B or C → product-video or talking-head (plan/script) → remotion-script-writer if it's a coded Remotion video
F — Web/app design"landing page", "app design", responsive UIskills/creative/original-design (this is design, not asset generation); pull imagery needs back into B/C

Cross-cutting rule: skills/creative/image-generation is the utility skill for any asset the specialists don't cover (thumbnails, infographics, textures) — slot it wherever needed; it consumes the style block like everything else.

Automation wiring (facts, verified against the repo)

  • One model only: fal-ai/nano-banana-pro on FAL.ai. No fast/quality model variants exist.
  • Scripts at repo root: docs/fal_api.py (client), docs/creative_cli.py (CLI: product / social / brand / custom / test), docs/claude_integration.py (Python helpers incl. batch_generate_assets).
  • Setup: pip install requests; export FAL_API_KEY="..."; verify with python docs/creative_cli.py test.
  • Real knobs: --num-images 1–4, --aspect-ratio (21:9…9:16), --resolution 1K/2K/4K, custom also --format png|jpeg|webp and --web-search.
  • Outputs land in assets/product-photography/…, assets/social-graphics/…, assets/brand-assets/…, assets/<category>/… automatically.

Full reference: skills/creative/image-generation/references/automation.md — read it before writing any generation command into a plan.

Required output format

Deliver the plan, then execute it step by step (invoking each skill in order, carrying its artifact forward):

# Creative Production Plan — [outcome]

**Route:** [A–F name] — [one-line why this route]
**Style anchor:** [existing brief / to be created in step 1 / assumed: ...]
**Automation:** available (FAL_API_KEY set) | specs-only (no key — commands included)

## Sequence
| # | Skill (path) | Produces | Feeds forward |
| 1 | skills/creative/... | [artifact] | [what step 2 consumes] |
| 2 | ... | ... | ... |

## Asset map
| Asset | Type | Aspect ratio | Variants | Output path |
| [name] | product/social/brand/custom | [ratio] | [n] | assets/.../ |

## Checkpoints
- After step [n]: user picks [what] before [next step] starts.

## First action
[The single next thing you will do — usually "run step 1 now".]

Guardrails

  • One route. Commit with a one-line reason; offer at most one alternative if it's genuinely close. No route menus.
  • Never generate before the style anchor exists (or is explicitly waived for a throwaway).
  • User checkpoints at selection points — after logo concepts, after hero-shot variants — not after every image.
  • No fake capability. If FAL_API_KEY is missing, say so; deliverables are prompt specs + commands. Never report images that weren't generated.
  • Don't re-produce what exists. An existing brief/logo/shot set skips its step; consume it instead.
  • Facts stay verified. Model ID, script paths, and CLI flags come from the automation reference — never from memory.

Integration

Feeds this skill: skills/product-strategy/foundation-sprint (positioning and differentiators sharpen the brief in step 1 of routes A/D). Consumes its output: every skills/creative/* skill listed in the routing table — the plan tells each one what artifact it receives and what it must hand back.

Frequently asked questions

What does the Orchestrator AI skill do?

Dispatcher for the creative suite: diagnoses a multi-asset creative request with a few questions, then routes it through the right sequence of creative skills, naming the artifact each step passes to the next, and wires in the FAL.ai automation (single model fal-ai/nano-banana-pro via docs/creative_cli.py) when available. Use when the user asks for several creative deliverables at once or an outcome that implies them — 'assets for my product launch', 'set up my brand visuals', 'I need a logo, product shots, and social posts', 'a week of content', 'rebrand everything' — or when it's unclear...

Why use Orchestrator on TypingMind?

Because you install it once and use it with any model. Orchestrator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Orchestrator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sanky369/vibe-building-skills/tree/main/skills/creative/orchestrator. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Orchestrator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Orchestrator?

As many as you like. As long as a model supports skills, you can use Orchestrator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Orchestrator AI skill free?

Yes. It is published on GitHub by sanky369 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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