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research-audience-score-segment-qa

GitHub

基于受众数据执行评分、分层及细分，生成带有独特切入点的营销列表文件。通过严格的合规与数据质量检查，确保输出准确并识别竞争态势，为后续外联提供决策支持。

skills/marketing/research-audience-score-segment-qa/SKILL.md gooseworks-ai/goose-skills

触发场景

需要对受众数据进行评分和分段生成带有切入点的营销列表执行数据合规与质量检查

安装

npx skills add gooseworks-ai/goose-skills --skill research-audience-score-segment-qa -g -y

更多选项

非标准路径

npx skills add https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/research-audience-score-segment-qa -g -y

不安装直接使用

npx skills use gooseworks-ai/goose-skills@research-audience-score-segment-qa

指定 Agent (Claude Code)

npx skills add gooseworks-ai/goose-skills --skill research-audience-score-segment-qa -a claude-code -g -y

安装 repo 全部 skill

npx skills add gooseworks-ai/goose-skills --all -g -y

预览 repo 内 skill

npx skills add gooseworks-ai/goose-skills --list

SKILL.md

Frontmatter

{
    "name": "research-audience-score-segment-qa",
    "version": "0.1.1",
    "description": "Step of the research-audience playbook: scores and tiers list rows, groups them into segments with an angle each, runs the pre-handover checks and writes the list files. Run research-audience instead; not for direct use."
}

score-segment-qa

Reads: account table, people rows, signals; ../research-audience/references/fit-and-scoring.md; ../research-audience/references/output-format.md; ../research-audience/references/contacts-and-compliance.md.

Does:

Score: gates already passed; add points by block, each with its cited reason in fit_reason. Tier A/B; C to dropped.csv. Set the value tier (V1/V2/V3) with its evidence for account-based lists; rank by tier and value together.
Segment by angle × signal (e.g. "new leader", "hiring for the pain", "fit, no signal"), 3–6 segments, each with a three-line angle: pain (the situation in the buyer's terms, from the signals), proof (one signed-off claim, verbatim, cleared through the claims-gate skill (../claims-gate/SKILL.md) — or "you'd need proof of <X> first", which the message offers to sign off), ask (one low-friction next step). Never an invented result or number. Then For you per segment: does it fit us (yes/no and why, from our product, pricing and customers); what to send first and to whom (V1 accounts first); then offer, as a closing decision, the messages written for this list (write-outreach reads list.csv and these angles). Don't follow the herd: if every rival pitches this segment the same way, say so and offer a different angle from what buyers say (this playbook's quote bank, research/audience/voc-bank.md). You vs them: accounts where a rival is in use (from job posts naming the tool, case studies, integration pages) — where we're ahead (say it louder), behind, and where everyone sounds the same.
Rank: tier, then score, then warm path.
QA checklist — every item, every run:
- domain is the current company's live site, not a parent or old brand;
- no duplicate people or domains; concentration cap held;
- all exclusions applied (customers, open deals, ledger, competitors, do-not-contact, own staff);
- every title seen within 90 days; every signal inside its window;
- email filled only for verified-by-tool rows — every published or pattern-built address is in email_candidate; no verified label without a checker result; pattern-guesses have cited evidence; account-level rows (chains, independents) carry a published route;
- no banned hook topics; region flags set; no Canadian or AU/NZ pattern-guess left as an email route; no UK-soletrader row has an email or DM route (visit, letter, or phone with a recorded TPS check); EU rows say "check the national rule"; other: rows say "check the local rule";
- five random rows re-checked by hand against their sources — fix or drop any that fail, and say how many failed.
If fewer rows pass than asked, deliver what passed and state why (thin universe, no contact routes, heavy exclusions). Never pad.

Writes: report.md, list.csv, dropped.csv (tier C included, with reason) in the output format, and segments.csv (segment, name, pain, pain_source_url, proof, ask, default_opener, rows) — the angles write-outreach reads; pain comes from the quote bank, or with no bank from the rows' own signals ("hiring two AP specialists"), labelled so. Ledger rows for everything shown.