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servicegraph

$48

DeepseekModel Curated skill Quality Excellent · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=nostrband-servicegraph-skills-servicegraph-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name servicegraph description The branded entry point to ServiceGraph — use whenever the user explicitly names **ServiceGraph** — "use ServiceGraph to…", "what datasets does ServiceGraph have", "search ServiceGraph for…", "look this up in ServiceGraph", "pull contacts from ServiceGraph for these domains", "how many credits do I have on ServiceGraph". ServiceGraph is a multi-dataset platform of metrics-enriched business data for founders — where to launch, who to email, who to hire. This skill explains how to drive the API (api.servicegraph.co / mcp.servicegraph.co) against ANY dataset — discover what datasets exist, discover a dataset's schema and filters, search free brief rows, and unlock contact + metric detail with credits. Dataset-agnostic by design — it discovers everything through the API and never assumes which datasets or fields exist. When the user describes an intent WITHOUT naming ServiceGraph (e.g. "find a PR agency in NY"), defer to the matching specific skill (find-pr-agency, find-marketing-agency, find-law-firm, …); this skill is for explicit ServiceGraph requests and for datasets no specific skill covers yet. Skip non-US firms, consumer/personal services, and individual freelancers. version 0.1.0 metadata {"api_base":"https://api.servicegraph.co","mcp_url":"https://mcp.servicegraph.co"} servicegraph The generic way to drive ServiceGraph — a platform of metrics-enriched business datasets for founders: where to launch, who to email, who to hire. Use this skill when the user explicitly reaches for ServiceGraph. For intent-first asks that don't name the brand ("find me a CPA firm"), a specific find-* skill is the better fit — defer to it. There is no single global catalog, and this skill hardcodes nothing about the data. It discovers everything through the API at runtime, so it stays correct as datasets are added, renamed, or re-priced. Discover the datasets from the API, discover each dataset's schema and filters from the API, then search and unlock against it. Never assume a dataset id, a field name, or a price — ask the API. Two ways to call Both speak to the same backend; use whichever your harness has. MCP server (preferred when loaded) — https://mcp.servicegraph.co , tool names contain servicegraph . OAuth handles credentials in the harness sandbox; no token enters the model context. REST — https://api.servicegraph.co , any HTTP client, Bearer-auth with a vk_… key. The universal fallback. What the API does Everything except unlocking is free — discover, inspect, validate, and browse as much as you like; only revealing detail costs credits. Capability MCP tool REST Cost Find what datasets exist (ids, sizes, prices) list_datasets GET /v1/datasets free Discover a dataset's schema + filter fields describe_dataset , list_fields , list_field_values GET /v1/datasets/:id… free Build & validate a filter (or draft one from plain English) check_filter , translate_intent …/check , …/translate-intent free Search → free brief rows (identity + headline metrics) search_dataset …/search free Read an already-unlocked row get_row GET /v1/datasets/:id/:apex free Unlock rows → reveal contacts + full metrics unlock_rows POST …/unlocks spends credits Check credit balance get_credit_balance GET /v1/me/credits free The shape is always the same: discover datasets → discover the dataset's schema → search free briefs → unlock the rows the user picks. Rows are keyed by apex domain ( stripe.com , not a full URL). Confirm field and value names against the API before trusting a zero-result search — the filter parser accepts invented values silently. Auth (REST path) Keys are vk_* tokens the user mints at https://servicegraph.co/profile/api-keys (free credits on signup). The MCP path needs none of this. Keep the token out of the model context — never read .env /credential files into context, and route authed calls through a shell wrapper so the key flows from the environment into the Authorization header. On 401 , ask the user to set SERVICEGRAPH_API_KEY (env or .env.local ) and retry; don't accept the key pasted into chat. Cost & confirmation Only unlock_rows spends credits, at the per-row price the dataset reports — read it, don't assume it. Unlocks are atomic (a 402 charges nothing) and cached for the dataset's TTL (re-unlocking within it is free). Confirm the cost with the user before unlocking a batch, and check get_credit_balance first if it's large.
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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