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servicegraph

$48

DeepseekModel 官方收录技能 质量 优秀 · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=nostrband-servicegraph-skills-servicegraph-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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