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Find Engineering Firm

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nostrband
find-engineering-firm

Use whenever the user wants to find, shortlist, vet, or enrich US engineering firms — civil, structural, MEP, mechanical, electrical, geotechnical, transportation, environmental, and manufacturing. **For real-world engineering (buildings, infrastructure, manufacturing) — NOT software engineering.** Triggers on "find civil engineering firms in Florida for transportation", "shortlist three structural engineering firms with high-rise experience", "MEP consultancy for a hospital project", or "pull contact info for these 12 engineering firm domains", even when described indirectly (PE-stamped drawings, building-permit review). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Defer software-dev / "engineering team" / SaaS-architecture asks to find-software-developer. Skip in-house engineering-manager hires, DIY questions, software-product comparisons (Revit, AutoCAD), non-US firms, individual freelancers.

Overview

Publishernostrband
RepositoryServiceGraph
Skill namefind-engineering-firm
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 Engineering Firm 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-engineering-firm
  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-engineering-firm .claude/skills/find-engineering-firm
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Find Engineering Firm 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 Engineering Firm 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 Engineering Firm 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-engineering-firm

Drive the ServiceGraph API (https://api.servicegraph.co) to find, shortlist, and enrich US real-world engineering firms — buildings, infrastructure, energy, manufacturing — via the pro_services dataset. The catalog tags firms with industry:engineering_services and a ~23-tag service sub-taxonomy.

This is NOT for software engineering. "Software engineering firm", "engineering team", "engineering manager hire", "system architecture review" — those are all software-developer territory. The first thing this skill confirms is that the user means real engineering, not software.

Always pin industry:engineering_services. Note the _services suffix — older docs sometimes show industry:engineering but the literal pin returns zero results in the live catalog. Sub-disciplines are typically structured service_provided tags (civil-engineering, structural-engineering, mep-engineering, etc.) — confirm exact names via /v1/datasets/pro_services/fields?include_values=1. Surveying is surveying-mapping, not surveying.

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

When NOT to use this skill

The dominant failure mode is firing on software-engineering asks. Refuse those.

  • Software / SaaS / app-development asks — even when phrased as "software engineering firm", "engineering team partner", "build our platform" → defer to find-software-developer.
  • In-house "engineering manager" hires — in modern B2B usage this is almost always software-engineering recruiting. Refuse.
  • System / cloud / database architecture questions ("Postgres vs DynamoDB", "monolith vs microservices") — software topics.
  • Architecture (buildings) — find-architecture-firm covers that industry (when it exists). This skill covers engineering disciplines that work with architects (structural, MEP, civil), but the architect-of-record procurement is a different fire.
  • Consumer/residential ("architect for a residential remodel", "engineer to inspect my house"). Catalog is B2B procurement only.
  • Non-US firms / individual freelance engineers / DIY questions / engineering-software product comparisons (Revit, AutoCAD, SolidWorks, Ansys).

MCP server (preferred for authed calls)

If your harness has the ServiceGraph MCP server loaded (tools containing servicegraph), prefer those — OAuth 2.1 + PKCE keeps the token in the harness sandbox. Otherwise use the REST flow below.

API surface (dataset id: pro_services)

Every endpoint requires the bearer (Authorization: Bearer vk_…). No anonymous tier.

EndpointCostUse it for
GET /v1/datasets/pro_services/fields[?include_values=1]freeConfirm engineering_services industry value and sub-tag names.
GET /v1/datasets/pro_services/check?filter=…freeValidate filter.
POST /v1/datasets/pro_services/translate-intentfree{intent} → DSL filter + sanity count.
GET /v1/datasets/pro_services/search?filter=…&limit=freeBrief firm cards + per-row unlock hint + total.
GET /v1/datasets/pro_services/:apexfreeOne row brief; detail only if unlocked.
POST /v1/datasets/pro_services/unlocks10 credits / firm{apexes:[...]} ≤100; atomic; 30-day TTL on detail.
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.

Auth

vk_* API keys minted in the dashboard. Keep the token out of the LLM context — never read .env* into your context; dispatch via shell.

  1. Try the call first 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 prompt the user:

    "Open https://servicegraph.co/profile/api-keys, create a key, and add SERVICEGRAPH_API_KEY=vk_… to .env.local here (or export it). Tell me when done. Please don't paste the key into chat."

  3. Retry after the user signals ready.

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: AND binds tighter than OR (use parens); comma list = OR within one predicate; negation is -x or NOT x; bareword = keyword search (quote multi-word phrases).

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

industry:engineering_services service_provided:civil-engineering state:FL transportation
industry:engineering_services service_provided:structural-engineering high-rise
industry:engineering_services service_provided:mep-engineering hospital
industry:engineering_services service_provided:mechanical-engineering hvac industrial
industry:engineering_services service_provided:environmental-engineering remediation
industry:engineering_services service_provided:geotechnical-engineering state:CA
industry:engineering_services service_provided:civil-engineering@high has:clutch
industry:engineering_services service_provided:electrical-engineering manufacturing

Sub-discipline → tag mapping (verify exact names via /fields; ~23 sub-tags so this isn't exhaustive):

User asks forUse
Civil engineering / sitework / transportationservice_provided:civil-engineering
Structural engineeringservice_provided:structural-engineering
MEP (mechanical/electrical/plumbing)service_provided:mep-engineering
Mechanical / HVACservice_provided:mechanical-engineering
Electrical engineeringservice_provided:electrical-engineering
Geotechnical / soils / foundationsservice_provided:geotechnical-engineering
Surveying / land surveys / mappingservice_provided:surveying-mapping (NOT surveying)
Transportation engineeringservice_provided:transportation-engineering
Environmental / remediationservice_provided:environmental-engineering
Manufacturing / processservice_provided:manufacturing-engineering
Aerospaceservice_provided:aerospace-engineering
Energy (oil/gas/renewables)service_provided:energy-engineering
Industrial automation / controlsservice_provided:industrial-automation
Materials testingservice_provided:materials-testing
Acoustic / vibrationservice_provided:acoustic-engineering
Biomedicalservice_provided:biomedical-engineering

Verticals (hospital, high-rise, semiconductor, retail, datacenter) and credentials (PE-licensed, LEED, AICP) are keyword-only.

Identifying firms — apex

Firms are identified by their apex domain (aecom.com, not www.aecom.com/about).

Recipes

A. Civil engineering for transportation, in a state

GET /v1/datasets/pro_services/search?filter=industry:engineering_services+service_provided:civil-engineering+state:FL+transportation&limit=10
# Present, get 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"] }

B. Structural engineering + commercial high-rise

GET /v1/datasets/pro_services/search?filter=industry:engineering_services+service_provided:structural-engineering+(high-rise OR commercial)&limit=10

C. MEP for a hospital project

GET /v1/datasets/pro_services/search?filter=industry:engineering_services+service_provided:mep-engineering+hospital&limit=10

D. Mechanical / HVAC for industrial facility

GET /v1/datasets/pro_services/search?filter=industry:engineering_services+service_provided:mechanical-engineering+hvac+industrial&limit=10

E. Indirect intent — "stamp the drawings"

User: "We're building a 10-story office and need a structural engineer to stamp the drawings."

GET /v1/datasets/pro_services/search?filter=industry:engineering_services+service_provided:structural-engineering+commercial&limit=10

PE-license details surface from the unlocked platforms map / firm detail. If the user wants only PE-licensed firms, add pe as a keyword.

F. Geotechnical in California

GET /v1/datasets/pro_services/search?filter=industry:engineering_services+service_provided:geotechnical-engineering+state:CA&limit=10

Avoid pinning narrow keywords like seismic on top — engineering verticals tend to collapse below k=20 quickly. The full state pool of ~20 geotechnical firms is more useful than a 2-firm pool after keyword narrowing.

G. Quality threshold — be careful

Engineering firms aren't reviewed like agencies; rating>=N collapses civil/structural/MEP pools sharply. Prefer @high + size + geography as the quality proxy instead of a rating gate:

GET /v1/datasets/pro_services/search?filter=industry:engineering_services+service_provided:civil-engineering@high+state:CA+-company_size_signal:solo&limit=10

If the user insists on rated firms, add has:clutch (more lenient than rating>=4).

H. BYO apex list — enrich domains

User pastes 8–20 engineering firm domains:

  1. GET /v1/datasets/pro_services/:apex per domain — free brief (404 = not in catalog, no charge). A 404 often means the domain is a software firm tagged industry:it_services instead of real engineering.
  2. User picks N to fully enrich. POST /unlocks = 10×N credits, atomic, detail returned.
  3. Re-runs within 30-day TTL are free.

Gotchas

  • Always pin industry:engineering_services. Without it, civil-engineering / mep-engineering / electrical-engineering keywords could leak into other industries (architecture firms sometimes list MEP coordination as a sub-service).
  • It's engineering_services, not engineering. The literal pin industry:engineering returns zero results. Same drift logic for surveying-mapping (not surveying).
  • The hardest boundary is software-engineering. "Engineering firm" / "engineering team" in modern B2B usage almost always means software in tech contexts. Defer those to find-software-developer. Real engineering is for buildings, infrastructure, energy, manufacturing — not for SaaS apps.
  • "Engineering manager" hires are recruiting, not procurement.
  • Architecture firms are a separate industry. Architect-of-record procurement (form/aesthetics) is a different fire; this skill is for the engineering disciplines that work with architects.
  • Consumer/residential is out of scope ("architect for my house remodel", "engineer to inspect my deck"). B2B-only.
  • Engineering verticals are rating-sparse. Civil/structural/MEP firms aren't reviewed like agencies — rating>=N collapses pools below k=20. Use @high evidence + size + geography as the quality proxy.
  • Narrow keywords artificially shrink pools. A keyword like seismic on top of a CA geotech filter yields only ~2 firms vs ~20 without it. Drop narrowing keywords for default-required verticals.
  • Engineering-software product comparisons (Revit, AutoCAD, SolidWorks, Ansys, Bentley) are NOT procurement.
  • Briefs DO include apex, name, location, 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 = not in pro_services. Skip; not charged.
  • Unlock is atomic. N apexes either all charge (up to 10×N credits) or none on 402.
  • Within-TTL re-views are free (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.
400field_not_in_datasetDrop the disallowed field.
400invalid_apexRe-normalize.
401unauthorized / invalid_audienceRe-prompt for fresh vk_….
402insufficient_creditsneeded and balance; nothing charged.
404not_found / not_in_datasetSkip; not charged.
429rate_limitedHonor Retry-After.

End-to-end example

User: "Three civil engineering firms in Florida focused on transportation infrastructure, ideally with PE-licensed engineers."

GET /v1/datasets/pro_services/fields?include_values=1
GET /v1/datasets/pro_services/check?filter=industry:engineering_services+service_provided:civil-engineering+state:FL+transportation+pe
GET /v1/datasets/pro_services/search?filter=...&limit=10
# Present briefs. "Unlocking 3 = 30 credits, 30-day TTL."
POST /v1/datasets/pro_services/unlocks
  { "apexes": ["firm-a.com", "firm-b.com", "firm-c.com"] }
GET /v1/me/credits

Frequently asked questions

What does the Find Engineering Firm AI skill do?

Use whenever the user wants to find, shortlist, vet, or enrich US engineering firms — civil, structural, MEP, mechanical, electrical, geotechnical, transportation, environmental, and manufacturing. **For real-world engineering (buildings, infrastructure, manufacturing) — NOT software engineering.** Triggers on "find civil engineering firms in Florida for transportation", "shortlist three structural engineering firms with high-rise experience", "MEP consultancy for a hospital project", or "pull contact info for these 12 engineering firm domains", even when described indirectly (PE-stamped dr...

Why use Find Engineering Firm on TypingMind?

Because you install it once and use it with any model. Find Engineering Firm 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 Engineering Firm in TypingMind?

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

Which AI models can use Find Engineering Firm?

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 Engineering Firm?

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

Is the Find Engineering Firm 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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