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find-seo-agency

@nostrband · 收录于 1 周前

Use whenever the user wants to find, shortlist, vet, or enrich US SEO agencies — technical SEO, on-page/off-page, link-building, content-led SEO, local SEO, ecommerce SEO, B2B SEO, and SEO audits. Triggers on "find me an SEO agency in Texas", "shortlist three technical SEO consultancies for SaaS", "link-building and on-page for our ecommerce store", or "pull contact info for these 8 SEO firm domains", even when described indirectly (organic traffic flat, improve Google rankings, search visibility). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings, third-party listings. Defer to find-marketing-agency when scope spans multiple marketing services beyond SEO. Skip SEM/PPC/paid-search asks, web-dev asks (use find-web-developer), "how do I rank" DIY questions, SEO tool recommendations (Ahrefs, Semrush), in-house SEO hires, non-US firms, individual freelancers.

适合你,如果你需要在美国找一家靠谱的SEO服务商。

/ 下载安装
find-seo-agency.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add nostrband/servicegraph/find-seo-agency
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- nostrband/servicegraph/find-seo-agency
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify nostrband/servicegraph/find-seo-agency
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

技能原文 SKILL.md作者撰写 · MIT · 1ec908c

find-seo-agency

Drive the ServiceGraph API (https://api.servicegraph.co) to find, shortlist, and enrich US SEO agencies via the pro_services dataset. The catalog has thousands of US firms tagged with service_provided:seo under industry:marketing_agency.

Always pin both industry:marketing_agency and service_provided:seo. SEO sub-flavors (technical, local, link-building, on-page, ecommerce, B2B, etc.) are not separate tags — the catalog has one seo tag — so sub-flavor specialization is inferred via keyword search across firm text.

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

Sibling skills — defer when scope is broader

If the user wants a multi-service marketing engagement (SEO plus PPC plus content plus social, or a "full-service digital agency"), defer to find-marketing-agency — that skill covers the same catalog with a broader filter and won't over-constrain on SEO.

If the user wants strictly web/app development (build a site, ship a feature), defer to find-web-developer / find-software-developer.

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.

| Endpoint | Cost | Use it for | |---|---|---| | GET /v1/datasets/pro_services/fields[?include_values=1] | free | Confirm seo is in the service_provided value list. | | GET /v1/datasets/pro_services/check?filter=… | free | Validate filter. | | POST /v1/datasets/pro_services/translate-intent | free | {intent} → DSL filter + sanity count. | | GET /v1/datasets/pro_services/search?filter=…&limit= | free | Brief firm cards + per-row unlock hint + total. | | GET /v1/datasets/pro_services/:apex | free | One row brief; detail only if unlocked. | | POST /v1/datasets/pro_services/unlocks | 10 credits / firm | {apexes:[...]} ≤100; atomic; 30-day TTL on detail. | | GET /v1/me/credits | free | Balance. |

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' ) ``

  1. 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."
  1. 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).

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

industry:marketing_agency service_provided:seo
industry:marketing_agency service_provided:seo@high state:TX
industry:marketing_agency service_provided:seo technical
industry:marketing_agency service_provided:seo local
industry:marketing_agency service_provided:seo ecommerce
industry:marketing_agency service_provided:seo b2b saas
industry:marketing_agency service_provided:seo@high rating>=4 review_count_total>=20 has:clutch
industry:marketing_agency service_provided:seo "core web vitals"

Sub-flavor → keyword mapping (catalog has one seo tag):

| User asks for | Add as keyword | |---|---| | Technical SEO | technical | | Local SEO | local | | Link-building | link-building or links | | On-page SEO | on-page or onpage | | Off-page SEO | off-page or offpage | | Ecommerce SEO | ecommerce | | B2B SEO | b2b | | Shopify SEO | shopify | | Core Web Vitals / page speed | "core web vitals" |

Identifying firms — apex

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

Recipes
A. SEO agency in a state (the baseline)
GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:seo+state:TX&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. Technical SEO for a SaaS company
GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:seo@high+technical+b2b+saas&limit=10
C. Link-building + on-page for ecommerce
GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:seo+link-building+on-page+ecommerce&limit=10

If the breakdown is sparse, drop on-page — agencies that do SEO at all usually do both.

D. Local SEO for a multi-location business
GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:seo+local+state:NJ&limit=10

The catalog tags one state per firm (HQ); local-SEO firms can serve NJ without being headquartered there. If results are narrow, drop state:NJ and use geography_served:national_US,multi_state_regional.

E. Indirect intent — "organic traffic flat"

User: "Our organic traffic has been flat for 6 months — we need an SEO partner."

GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:seo&limit=10

Or use the translator:

POST /v1/datasets/pro_services/translate-intent
  { "intent": "SEO partner — our organic traffic has been flat for 6 months" }

If the user gave a vertical or location elsewhere, add it. Otherwise present the top-10 and ask for constraints.

F. Quality threshold + third-party signals

Be cautious — TX seo@high collapses sharply with rating gates or Clutch alone. Layer @high evidence + non-solo size first; add the rating gate only if pool is still large:

GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:seo@high+-company_size_signal:solo+state:TX&limit=10

For users insisting on third-party signals:

GET /v1/datasets/pro_services/search?filter=industry:marketing_agency+service_provided:seo@high+rating>=4+review_count_total>=20+has:clutch&limit=10
G. BYO apex list — enrich domains

User pastes 8–20 SEO firm domains:

  1. GET /v1/datasets/pro_services/:apex per domain — free brief (404 = not in catalog, no charge). Note: not every firm with seo in their domain is tagged service_provided:seo.
  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 both industry:marketing_agency AND service_provided:seo. Without the industry pin, service_provided:seo matches SEO services from IT firms or design shops too. Without the service pin, you'd return all marketing agencies regardless of SEO specialty.
  • SEO sub-flavors are NOT separate tags. Use barewords for sub-flavor — they become keyword substring matches in firm text.
  • Defer to find-marketing-agency for multi-service scope. SEO plus paid plus content plus social as one engagement is a full-service marketing ask.
  • Defer to find-web-developer for "fix our site speed / Core Web Vitals" if they want it BUILT. SEO agencies advise on CWV; they don't refactor your front-end.
  • Rating/Clutch gates are sparse for SEO. TX seo@high (~243 firms) collapses below k=20 with rating>=4 OR has:clutch alone. Prefer @high + non-solo as the quality proxy and add rating only if the base pool is still wide.
  • "SEM" / "PPC" / "paid search" / "Google Ads" are NOT SEO. Defer to find-marketing-agency. SEM-vs-SEO is a frequent terminology mix-up.
  • Multi-word phrases must be split or quoted. core web vitals parses as three AND'd keywords; "core web vitals" is one phrase.
  • 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": "..."}}.

| Status | Code | What to do | |---|---|---| | 400 | filter_parse_error | position included; fix and re-validate with /check. | | 400 | kind_in_filter | Strip any kind: from filter. | | 400 | field_not_in_dataset | Drop the disallowed field. | | 400 | invalid_apex | Re-normalize. | | 401 | unauthorized / invalid_audience | Re-prompt for fresh vk_…. | | 402 | insufficient_credits | needed and balance; nothing charged. | | 404 | not_found / not_in_dataset | Skip; not charged. | | 429 | rate_limited | Honor Retry-After. |

End-to-end example

User: "Three technical SEO consultancies for a B2B SaaS company, ideally with at least a 4-star rating and a Clutch listing."

GET /v1/datasets/pro_services/fields?include_values=1
GET /v1/datasets/pro_services/check?filter=industry:marketing_agency+service_provided:seo@high+technical+b2b+saas+rating>=4+has:clutch
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
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