lead-mining
面向中国大陆市场的企业线索采集模块。用于从公开渠道收集目标企业名单、联系人线索、基础画像与来源证据，适用于获客名单搭建、首轮BD筛选与渠道验证。
Best use case
lead-mining is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
面向中国大陆市场的企业线索采集模块。用于从公开渠道收集目标企业名单、联系人线索、基础画像与来源证据，适用于获客名单搭建、首轮BD筛选与渠道验证。
Teams using lead-mining should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/lead-mining/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How lead-mining Compares
| Feature / Agent | lead-mining | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
面向中国大陆市场的企业线索采集模块。用于从公开渠道收集目标企业名单、联系人线索、基础画像与来源证据，适用于获客名单搭建、首轮BD筛选与渠道验证。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 企业线索采集 ## 模块元信息 - 状态：已验收 - 负责人：小data - 上游输入模块：无 - 下游输出模块：customer-profile、outreach-automation - 默认输出路径：`reports/domestic-acquisition/lead-mining/` ## 目标 - 解决单一问题：为国内获客生成可筛选、可追溯、可继续触达的企业线索清单。 - 边界内：目标客群定义、公开渠道采集、字段标准化、来源留痕、初步去重。 - 边界外：深度销售话术、私聊转化、自动群发、CRM深度集成。 - 包级边界规范：遵循 `../../references/module-boundaries.md`。 ## 触发条件 - 需要为某个行业/地区/规模批量找潜在客户。 - 需要搭建首轮BD名单并给后续触达模块使用。 - 需要验证某个细分市场是否存在足够多可触达企业。 - 需要从公开平台整理企业基础信息与联系人线索。 ## 输入 - 必填输入：目标行业/赛道、地域范围、企业规模或阶段、目标数量。 - 可选输入：职位关键词、渠道优先级、排除条件、已有样本名单。 - 前置假设：仅采集公开可得信息；允许先产出企业级线索，再逐步补联系人。 ## 执行步骤 1. 定义筛选条件：明确行业、地域、规模、排除规则与最小字段集。 2. 采集公开线索：从官网、地图、目录站、招聘站、内容平台或企业黄页收集候选企业。 3. 标准化与去重：统一公司名、地区、行业标签、来源链接，按公司主体去重。 4. 补齐关键字段：优先补官网、主营业务、地区、联系人入口或可触达渠道。 5. 输出验收表：生成线索表并记录缺失项、风险项、采集来源。 ## 输出 - 产出物：`lead-list.csv` 或 `lead-list.md`，附 `source-notes.md`。 - 字段规范：遵循 `references/lead-record-schema.md` 的最小字段集，保证跨模块复用。 - 默认路径：`reports/domestic-acquisition/lead-mining/` - 命名规范：`YYYY-MM-DD-行业-地域-leads.*` ## 验收标准 - 完整性：每条线索至少包含公司名、行业/标签、地区、来源链接 4 个字段。 - 质量门槛：去重后有效线索占比 ≥ 80%；来源可回溯率 = 100%。 - 可复用性：输出字段名固定，可直接供 `customer-profile` 或 `outreach-automation` 继续使用。 ## 依赖 - 上游模块：无。 - 下游模块：`customer-profile`、`outreach-automation`。 - 外部工具 / 密钥：搜索引擎、地图/目录站、表格工具；默认不要求私有密钥。 - 复用规范：字段输出遵循 `../../references/lead-record-schema.md`。 ## 失败处理 - 输入缺失时：先补齐行业、地域、目标数量，缺一不可；否则停止。 - 数据质量不足时：缩小行业范围或增加渠道，并标记低置信度线索。 - 外部平台受限时：切换公开来源，避免单平台依赖，并保留受限说明。 ## 验收记录 - 验收时间：2026-03-25 21:51 (Asia/Shanghai) - 验收结论：通过 - 验收范围：结构完整性、模块边界、输入输出闭环、下游可复用性 - 验收依据：已覆盖统一模板要求的 8 个最小章节；模块边界已明确排除话术转化/自动群发/CRM 深集成；输出字段与默认路径可直接供 `customer-profile`、`outreach-automation` 复用。 - 后续注意：联系人字段标准与去重规则，后续应沉淀为跨模块复用规范，而不是写死在单模块里。
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