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Find Marketing Agency

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nostrband
find-marketing-agency

Use whenever the user wants to find, shortlist, vet, or enrich US marketing agencies — including branding, content marketing, PPC/paid media, social media, email marketing, performance/demand-gen, video production, and full-service digital agencies. Triggers on requests like "shortlist three B2B branding agencies in California", "find a PPC shop with ecommerce experience", "we need a content marketing partner for a SaaS launch", or "pull contact info for these 12 agency domains", even when the need is described indirectly. Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings, and third-party listings. Skip SEO-only asks (use find-seo-agency), web/software-development asks (use find-web-developer or find-software-developer), recruiting an in-house marketing hire, "write me a marketing plan" do-the-work asks, non-US firms, individual freelancers, marketing-software-product recommendations, and consumer/personal-brand asks.

Overview

Publishernostrband
RepositoryServiceGraph
Skill namefind-marketing-agency
Stars
61
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 nostrband on GitHub. Read the source before you install it.

Installation

Install the Find Marketing Agency 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/nostrband/ServiceGraph/tree/main/skills/find-marketing-agency
  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/nostrband/ServiceGraph.git /tmp/ServiceGraph
mkdir -p .claude/skills
cp -r /tmp/ServiceGraph/skills/find-marketing-agency .claude/skills/find-marketing-agency
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Find Marketing Agency 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 Find Marketing Agency 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 Find Marketing Agency 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.

find-marketing-agency

Drive the ServiceGraph API (https://api.servicegraph.co) to find, shortlist, and enrich US marketing agencies via the pro_services dataset. The catalog has tens of thousands of US marketing firms tagged across ~26 service sub-tags including branding, content-marketing, ppc, social-media-marketing, email-marketing, web-design, video-production, inbound-marketing, marketing-strategy, conversion-optimization, and ecommerce-marketing. (Note: there is no performance-marketing or demand-gen / demand-generation tag — those user-phrasings map to inbound-marketing / marketing-strategy / conversion-optimization plus a keyword fallback.)

Always pin industry:marketing_agency. This skill exists to do that automatically — the user shouldn't have to think about catalog taxonomy.

Any HTTP client works (curl, fetch, requests). Examples below use curl.

Sibling skills — defer when scope is narrow

If the user's ask is strictly one of the following, defer to the dedicated skill:

  • Strictly SEO/search-ranking work → find-seo-agency
  • Strictly web/app/software development → find-web-developer / find-software-developer

If the user wants a marketing agency that also does SEO or web work as part of a broader engagement, this skill is correct — pin industry:marketing_agency and add the relevant service_provided: tags.

MCP server (preferred for authed calls)

If your harness has the ServiceGraph MCP server loaded (recognizable by tool names containing servicegraph), prefer those tools — the harness handles credentials in its own sandbox via OAuth 2.1 + PKCE, so no token enters LLM context. Otherwise use the REST flow below.

API surface (dataset id: pro_services)

Every endpoint requires the bearer (Authorization: Bearer vk_…). There is no anonymous tier.

EndpointCostUse it for
GET /v1/datasets/pro_services/fields[?include_values=1&q=]freeFilter-field catalog + DSL grammar. Call first per session.
GET /v1/datasets/pro_services/values/:field[?q=&limit=]freeEnumerate values for one field.
GET /v1/datasets/pro_services/check?filter=…freeValidate a filter. Returns {valid, normalized} or {valid:false, error}.
POST /v1/datasets/pro_services/translate-intentfree{intent} → LLM-generated DSL filter + sanity count.
GET /v1/datasets/pro_services/search?filter=…&limit=&offset=freeBrief firm cards + per-row unlock hint + total.
GET /v1/datasets/pro_services/:apexfreeSingle row brief; detail block only if unlocked.
POST /v1/datasets/pro_services/unlocks10 credits / firm{apexes:[...]} ≤100. Atomic batch; 30-day TTL on detail; was_cached:true rows free.
GET /v1/me/creditsfreeBalance.

Cost model. Discovery / validation / search / brief reads are free. Detail (url, phone, email, social, address, full platforms map) costs 10 credits per firm and lasts 30 days. Re-fetching an unlocked firm within TTL is free.

Auth

Tokens are vk_* API keys minted in the dashboard.

Keep the token out of the LLM context — never read .env* into your context; dispatch every authed call through a shell wrapper.

  1. Just try the call through a shell wrapper that sources .env.local:

    bash
    ( set -a; [ -f .env.local ] && . ./.env.local; set +a;
      curl -sS -H "Authorization: Bearer $SERVICEGRAPH_API_KEY" \
           'https://api.servicegraph.co/v1/datasets/pro_services/fields' )
  2. On 401 unauthorized, prompt the user (don't accept the key in chat):

    "Open https://servicegraph.co/profile/api-keys, sign in, click Create key, and copy the vk_… value. Then add SERVICEGRAPH_API_KEY=vk_… to .env.local here (or export it in your shell). Tell me when done. Please don't paste the key into chat."

  3. Retry the same call after the user signals ready. A later 401 means the key was rotated/revoked — re-prompt.

Filter DSL

GitHub-search-style.

filter   := orExpr
orExpr   := andExpr ("OR" andExpr)*
andExpr  := notExpr (("AND")? notExpr)*    # whitespace = implicit AND
notExpr  := ("NOT" | "-") notExpr | atom
atom     := "(" filter ")" | predicate
predicate:= IDENT op valueOrList | bareword
op       := ":" | "=" | ">=" | "<=" | ">" | "<"
valueOrList := value ("," value)*
value    := IDENT | NUMBER | tagAtEvidence
tagAtEvidence := IDENT "@" ("low"|"medium"|"high")
bareword := IDENT | NUMBER          # → keyword:<bareword>

Four rules that bite:

  1. AND binds tighter than OR. a OR b c parses as a OR (b AND c). Use parens.
  2. Comma list = OR within one predicate. state:CA,NY,TX = any of three.
  3. Negation is -x or NOT x. state:CA,-NY is rejected; use state:CA -state:NY.
  4. Bareword = keyword search. Free-text substring across name / brand / title / meta / legal_name. Multiple barewords AND. Wrap multi-word phrases in double quotes (keyword:"foo bar").

Marketing-flavored examples (validate yours with /check):

industry:marketing_agency service_provided:branding@high
industry:marketing_agency service_provided:ppc service_provided:content-marketing
industry:marketing_agency state:CA,NY -company_size_signal:solo
industry:marketing_agency (service_provided:inbound-marketing@high OR service_provided:marketing-strategy@high)
b2b industry:marketing_agency service_provided:content-marketing@high
industry:marketing_agency rating>=4 review_count_total>=20 has:clutch
industry:marketing_agency NOT (service_provided:seo OR service_provided:web-development)

Identifying firms — apex

Firms are identified by their apex domain (ogilvy.com, not www.ogilvy.com/about). Strip user-supplied URLs to the apex before calling :apex endpoints or building unlock batches.

Recipes

A. Branding agency in a state

User: "Three B2B branding agencies in California for a Series-A SaaS company."

GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+state:CA+service_provided:branding@high+b2b&limit=10
# → 10 brief cards + total + per-row unlock.status

# Present, get user's pick of 3. "Unlocking 3 = 30 credits, 30-day TTL."
POST /v1/datasets/pro_services/unlocks
  { "apexes": ["firm-a.com", "firm-b.com", "firm-c.com"] }
# → brief + detail for all 3

B. PPC + ecommerce vertical

User: "PPC shop that specializes in ecommerce."

The catalog has a real ecommerce-marketing tag — pin it alongside PPC for tighter shortlists than relying on the ecommerce keyword alone:

GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:ppc+service_provided:ecommerce-marketing&limit=10

C. Multi-tag intersection — content + email + B2B vertical

User: "Content marketing partner for a SaaS launch — should also do email."

GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:content-marketing@high+service_provided:email-marketing+saas

If the NY-area pool collapses with a fintech/saas keyword (it tends to — vertical pins under-perform on agency copy), drop the keyword and surface vertical experience to the user from briefs.

D. Performance / demand-gen (indirect intent)

User: "Someone to run our quarterly demand-gen campaigns and own the funnel."

The catalog has no performance-marketing / demand-gen / demand-generation tag — map to inbound-marketing, marketing-strategy, or conversion-optimization, plus a keyword for the user's wording:

GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+(service_provided:inbound-marketing@high OR service_provided:marketing-strategy@high OR service_provided:conversion-optimization@high)+(demand OR funnel)&limit=10

If breakdowns are thin, drop @high or fall back to pure keyword.

Alternatively, use the intent translator:

POST /v1/datasets/pro_services/translate-intent
  { "intent": "agency to run quarterly demand-gen campaigns and own the funnel" }

E. Quality threshold (third-party signals)

User: "Compare three social media agencies that have worked with Fortune 500 — high evidence."

GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:social-media-marketing@high+rating>=4+review_count_total>=20+has:clutch&limit=10

fortune 500 is hard to filter structurally; let the user pick from briefs or add fortune as a keyword.

F. DTC ecommerce agencies

User: "Paid-social agency for our DTC apparel brand."

GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:ecommerce-marketing+service_provided:social-media-marketing+dtc&limit=10

G. Video production

User: "Video production studio for a 90-second product launch film, NYC or LA."

GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:video-production+state:NY,CA&limit=10

State is HQ-only; surface city from the unlocked detail for NYC-vs-LA disambiguation.

H. BYO apex list — enrich domains

User pastes 8–20 domains:

  1. GET /v1/datasets/pro_services/:apex per domain — free brief (404 = not in catalog, no charge). Flag misses.
  2. User picks N to fully enrich. POST /unlocks with all of them = 10×N credits, single atomic charge, detail bundles returned.
  3. Within 30-day TTL, repeated unlock POSTs are free.

Gotchas

  • Always pin industry:marketing_agency. Without it, service_provided:branding matches design firms, IT services, and others.
  • Defer to sibling skills for narrow asks. SEO-only → find-seo-agency. Strictly web/app development → find-web-developer / find-software-developer.
  • Briefs DO include apex, name, industry, service_provided, state, ratings. They DON'T include url, phone_primary, email_primary, legal_name, address_full, full platforms. Those require an unlock.
  • not_found / not_in_dataset 404 is not a bug. Apex isn't in pro_services (might be in another dataset). Skip; not charged.
  • Catalog is US-only B2B. Refuse non-US asks, individual freelancers, and personal-brand consulting for the user themselves.
  • Multi-word phrases must be split or quoted. b2b saas parses as two AND'd keywords; "b2b saas" is one phrase.
  • Unlock is atomic. POST /unlocks with 5 apexes either charges (up to) 50 credits or leaves balance untouched on 402. Plan the batch.
  • Within-TTL re-views are free. Re-running unlock on an apex still inside its 30-day window returns was_cached:true.

Errors

JSON envelope: {"error": {"code": "...", "message": "..."}}.

StatusCodeWhat to do
400filter_parse_errorposition included; fix and re-validate with /check.
400kind_in_filterStrip any kind: from filter — URL is authoritative.
400field_not_in_datasetField isn't allowed on pro_services; drop it.
400invalid_apexRe-normalize to apex.
401unauthorized / invalid_audienceRe-prompt for a fresh vk_….
402insufficient_creditsneeded and balance in payload; nothing charged.
404not_found / not_in_datasetSkip; not charged.
429rate_limitedHonor Retry-After.

End-to-end example

User: "Shortlist three B2B branding agencies in California for a Series-A SaaS company — high evidence on branding, ideally with at least a 4-star rating."

# 1. Discover (once per session)
GET /v1/datasets/pro_services/fields?include_values=1
# Confirms 'branding' is in service_provided, rating is numeric.

# 2. Validate + scope (free)
GET /v1/datasets/pro_services/check?filter=industry:marketing_agency+state:CA+service_provided:branding@high+rating>=4+b2b

# 3. Search briefs (free)
GET /v1/datasets/pro_services/search?filter=...&limit=10
# → 10 cards + total + per-row unlock.status

# 4. Present, get pick of 3. "Unlocking 3 firms = 30 credits, 30-day TTL."

# 5. Atomic unlock (charges 30 credits)
POST /v1/datasets/pro_services/unlocks
  { "apexes": ["firm-a.com", "firm-b.com", "firm-c.com"] }

# 6. (Optional) Confirm balance
GET /v1/me/credits

Frequently asked questions

What does the Find Marketing Agency AI skill do?

Use whenever the user wants to find, shortlist, vet, or enrich US marketing agencies — including branding, content marketing, PPC/paid media, social media, email marketing, performance/demand-gen, video production, and full-service digital agencies. Triggers on requests like "shortlist three B2B branding agencies in California", "find a PPC shop with ecommerce experience", "we need a content marketing partner for a SaaS launch", or "pull contact info for these 12 agency domains", even when the need is described indirectly. Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm...

Why use Find Marketing Agency on TypingMind?

Because you install it once and use it with any model. Find Marketing Agency 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 Find Marketing Agency in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nostrband/ServiceGraph/tree/main/skills/find-marketing-agency. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Find Marketing Agency?

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 Find Marketing Agency?

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

Is the Find Marketing Agency AI skill free?

Yes. It is published on GitHub by nostrband 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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