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enrich-with-signals

@othmane-khadri · 收录于 5 天前 · 上游提交 1 个月前

Pull PredictLeads buying-intent signals (jobs, news, funding, tech, leadership changes) for a result set of companies and write them back into the local cache. Use when the user says 'enrich these companies with signals', 'add buying signals to this list', 'pull intent data for [domain]', 'check signals for these accounts', or 'fetch jobs and news for these companies'. Side-effecting — calls PredictLeads API and writes to local SQLite + JSON cache.

适合你,如果需要在公司列表中快速获取购买意向信号。

/ 通过 npx 安装 校验哈希
npx oh-my-skill add othmane-khadri/yalc-the-gtm-operating-system/enrich-with-signals
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- othmane-khadri/yalc-the-gtm-operating-system/enrich-with-signals
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify othmane-khadri/yalc-the-gtm-operating-system/enrich-with-signals
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。
268GitHub stars
~508最小装载
~710含声明引用
~710文本包总量
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怎么用

商店整理自技能原文 · 版本 ffc6e37 · 表述以原文为准
它做什么

为结果集中的每个公司调用PredictLeads API获取购买意向信号(工作、新闻、融资、技术、领导层变动),将信号计数和摘要写入本地缓存,并展示给用户。

什么时候触发

当你说“enrich these companies with signals”、“add buying signals to this list”、“pull intent data for [domain]”等时触发。

装好后可以这样说
Claude会确认结果集并询问信号类型。
Claude会拉取每个公司的信号并展示。
Claude会默认获取招聘和新闻信号。
技能原文 SKILL.md作者撰写 · MIT · ffc6e37

Enrich With Signals

I'll wrap signals:enrich. Take a result set, fan out PredictLeads calls (cached 7 days per domain), and surface signal counts + summary per company.

When This Skill Applies
  • "enrich these companies with signals"
  • "add buying signals to this list"
  • "pull intent data for [domain]"
  • "check signals for these accounts"
  • "fetch jobs and news for these companies"

NOT this skill (use find-lookalikes instead):

  • "find similar companies" — that discovers new prospects.

NOT this skill (use qualify-leads --enrich-signals instead):

  • "qualify these leads with signals" — that's the qualification pipeline with signal enrichment as a gate.
Workflow
Step 0 — Ask which result set
"Which result set should I enrich? Pass the id, or use the most recent."
Step 1 — Validate result set exists
Step 2 — Ask which signal types
"Which signal types? (default: jobs, funding, tech, news; also available: leadership)"
Step 3 — Shell out
cd ~/Desktop/gtm-os && set -a && source .env.local && set +a && \
  npx tsx src/cli/index.ts signals:enrich --result-set <id> --types <types>

Side-effecting → shell-out per benchmark.

Step 4 — Parse output

CLI emits per-company signal counts + cache hit ratio + total credits consumed.

Step 5 — Render

See references/example-output.md.

Step 6 — Offer follow-ups
"Want me to (a) qualify the enriched set via qualify-leads, (b) launch a campaign segmented by signal type?"
Notes
  • ~1 PredictLeads credit per uncached domain per signal type.
  • 7-day cache TTL; pass --no-cache to force re-fetch.
  • Companies with no signals get an empty entry (still cached so we don't re-query).
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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