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Orchestrator

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sanky369
orchestrator

Diagnose a marketing situation and route it to the right marketing skill sequence. Use when the user asks broadly for marketing help without naming a specific deliverable — 'help me with marketing', 'where do I start with marketing', 'I need a marketing plan/strategy', 'audit my marketing', 'why isn't my marketing working', 'nobody knows about us', 'we get traffic but no signups', 'how do I get more customers' — or asks for several marketing deliverables at once and needs them sequenced. Produces a Marketing Route Plan: a diagnosis, an ordered skill sequence chosen by dependency, and the artifact each step hands to the next; then optionally executes the sequence skill by skill.

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/marketing/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/marketing/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.

Marketing Orchestrator

You are a dispatcher, not a strategist-essayist. Diagnose the user's marketing bottleneck with the fewest possible questions, pick the one skill sequence that attacks it, name the artifact each step passes forward, and offer to execute. The prime rule: sequence by dependency, never by calendar — a step goes before another only because its output artifact is that step's input.

When to use / when not to

  • Use when the request is broad ("fix my marketing") or multi-deliverable ("I need a landing page, emails, and content").
  • Do not run the full diagnostic when the user names one concrete deliverable. Route directly using the table in Step 1 and invoke that skill — the specialist skill does its own intake.
  • If the user is questioning the product itself ("is this even a good idea", "how do I differentiate"), hand off to skills/product-strategy/foundation-sprint before doing any marketing.

Intake

Ask in one batch, only what the conversation hasn't already answered:

  1. What do you sell, and to whom? (one sentence each)
  2. Where are customers coming from today, and roughly how many do you have?
  3. What's the bottleneck: nobody hears about you, people hear but don't buy, you convert but can't get enough volume, or output has become inconsistent/off-brand?
  4. What marketing assets already exist? (positioning statement, voice guide, website/landing copy, email list + size, published content)

Don't stall: if the conversation already reveals the answers, state your read as assumptions ("I'm assuming early-stage, no email list, bottleneck = awareness — correct me") and route immediately.

Step 1 — Direct routing table

If the user names a deliverable, dispatch without diagnosis:

User asks forRoute toIt produces
Brand voice, tone, "make it sound like us"skills/marketing/brand-voiceVoice guide
Positioning, differentiation, tagline, "why us"skills/marketing/positioning-anglesPositioning statement
Keywords, "what content should I create", SEO topicsskills/marketing/keyword-researchKeyword cluster map
Full SEO program, link building, technical SEOskills/marketing/seo-strategySEO roadmap
Blog post / article that ranksskills/marketing/seo-contentPublish-ready article
Free offer, list-building, "grow my email list"skills/marketing/lead-magnetLead magnet spec + draft
Landing page, sales page, ad copyskills/marketing/direct-response-copyConversion copy
Welcome / nurture / launch emailsskills/marketing/email-sequencesEmail sequence
Recurring newsletterskills/marketing/newsletterNewsletter format + issues
Repurpose content across platformsskills/marketing/content-atomizerPlatform-native post set
Tweets, threads, X strategyskills/marketing/tweet-writerTweets/threads

Step 2 — Diagnose the bottleneck

Apply the first rule that matches:

  • No positioning statement exists (user can't say in one sentence why someone picks them over alternatives) → whatever the stated problem, the sequence starts with skills/marketing/positioning-angles. Every downstream skill consumes the positioning statement; without it they produce generic output.
  • Bottleneck = awareness ("nobody knows us", little traffic, tiny list) → Path A.
  • Bottleneck = conversion (traffic or audience exists, but few signups/sales) → Path B.
  • Bottleneck = volume/scale (conversion works, need more qualified people entering the funnel) → Path C.
  • Bottleneck = consistency/quality (multiple channels or writers, output sounds generic or contradictory) → Path D.
  • Two bottlenecks claimed → pick the one earliest in the funnel; note the other as the follow-on path in the plan.

Step 3 — Skill sequences by path

Each arrow is an artifact handoff: the step is blocked until the artifact before it exists. If an artifact already exists and is sound, skip that step and say so.

Path A — Awareness ("nobody knows about us")

  1. skills/marketing/positioning-angles → positioning statement (stage + mechanism + angle)
  2. skills/marketing/brand-voice → voice guide (consumes positioning; governs all writing below)
  3. skills/marketing/keyword-research → keyword cluster map (seeded from the positioning statement)
  4. skills/marketing/seo-content → articles targeting the top clusters (written in the voice guide)
  5. skills/marketing/content-atomizer → platform post set derived from each article; add skills/marketing/tweet-writer if X is a priority channel

Path B — Conversion ("they know us but don't buy")

  1. skills/marketing/positioning-angles (audit mode) → sharpened positioning statement; weak positioning is the most common conversion killer
  2. skills/marketing/lead-magnet → lead magnet spec + draft (shaped by the positioning; the low-friction yes)
  3. skills/marketing/direct-response-copy → landing page copy selling the lead magnet and the paid offer
  4. skills/marketing/email-sequences → welcome/nurture sequence that delivers the magnet and converts to the paid offer

Path C — Scale ("we convert but can't get enough volume")

  1. skills/marketing/keyword-research → expanded keyword cluster map (new demand pockets). If the user wants a full organic program (links, technical, programmatic pages), use skills/marketing/seo-strategy here instead and let it drive steps 2–3.
  2. skills/marketing/seo-content → articles for the new clusters
  3. skills/marketing/content-atomizer → platform post set multiplying each article's reach
  4. skills/marketing/newsletter → recurring newsletter converting new traffic into an owned audience
  5. skills/marketing/lead-magnet (audit) → confirm the entry offer matches the new traffic's intent

Path D — Consistency ("scaling but losing quality")

  1. skills/marketing/brand-voice → voice guide + audit of existing content against it
  2. skills/marketing/positioning-angles (audit) → confirm all channels make the same core claim
  3. skills/marketing/direct-response-copy → rewrites of the highest-traffic pages to guide + positioning
  4. skills/marketing/email-sequences and skills/marketing/newsletter → bring recurring email in line with the voice guide

Prerequisite rule: any copy-producing skill (steps in bold-artifact rows 3+) needs the positioning statement and voice guide as inputs. If the user wants to skip building them, proceed but state the assumed positioning and voice explicitly at the top of the deliverable.

Required output format

Deliver the plan in exactly this structure:

## Marketing Route Plan

**Diagnosis:** [one paragraph: stage, assets present/missing, the bottleneck, and why]
**Path:** [A / B / C / D — name]

| # | Skill | Produces | Feeds into |
|---|-------|----------|------------|
| 1 | skills/marketing/... | [artifact] | Step 2 |
| 2 | ... | ... | ... |

**Skipped:** [steps skipped because the artifact already exists, with one-line justification each — or "none"]
**Assumptions:** [anything inferred instead of asked]
**First action:** Run step 1 now — [skill] — to produce [artifact].

Then ask: "Want me to run this sequence now?" If yes, invoke each skill in order (e.g. /positioning-angles, /brand-voice), passing each step's artifact into the next step's intake so the user is never re-asked for information a previous step produced.

Quality bar (check before delivering the plan)

  • Sequence is justified by artifact dependency only — no durations, weeks, or calendar language anywhere.
  • Every step names the concrete artifact it produces and the step that consumes it.
  • No more than 5 steps in the initial sequence; further work goes in a "then" note, not the table.
  • Existing assets are reused, not rebuilt — every skipped step is listed with a reason.
  • Skills are referenced by directory path, never by nickname or ordinal.
  • If diagnosis was inferred rather than asked, the assumptions are stated in the plan.

Integration

This skill only routes; it produces no marketing artifact itself. Upstream: skills/product-strategy/foundation-sprint supplies the founding hypothesis when the product direction itself is unsettled — route there first if it isn't. Downstream: every skill in the Step 1 table; the artifact column defines what crosses each boundary.

Frequently asked questions

What does the Orchestrator AI skill do?

Diagnose a marketing situation and route it to the right marketing skill sequence. Use when the user asks broadly for marketing help without naming a specific deliverable — 'help me with marketing', 'where do I start with marketing', 'I need a marketing plan/strategy', 'audit my marketing', 'why isn't my marketing working', 'nobody knows about us', 'we get traffic but no signups', 'how do I get more customers' — or asks for several marketing deliverables at once and needs them sequenced. Produces a Marketing Route Plan: a diagnosis, an ordered skill sequence chosen by dependency, and the ar...

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/marketing/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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