research-audience-segment-pass
Step of the research-audience playbook: the worker brief for researching one buyer group, returning notes in a fixed shape. Run research-audience instead; not for direct use.
Install / Use
npx skills add gooseworks-ai/goose-skills --skill research-audience-segment-passInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
MarketingSupported Platforms
Tags
Our assessment of research-audience-segment-pass
research-audience-segment-pass scores 85/100 on our quality scale, 415th of 560 Marketing skills we index.
Its SKILL.md is 4.2 KB long, well organised into 12 sections with 1 code example: a solid amount of guidance for an agent.
With 1,222 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 33 days ago, so research-audience-segment-pass is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
research-audience-segment-pass compared with similar skills
All 4 of these similar skills score higher than research-audience-segment-pass; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| research-audience-segment-pass (this skill)by gooseworks-ai | 85 | 1.2k | 33d ago | SKILL.md |
| algorithmic-artby anthropics | 100 | 177.9k | 33d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 33d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 137.2k | 11d ago | SKILL.md |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 137.2k | 11d ago | SKILL.md |
Frequently asked questions
- How do I install research-audience-segment-pass?
- Run
npx skills add gooseworks-ai/goose-skills --skill research-audience-segment-pass. The install tabs above show the steps for each supported agent. - Which AI agents does research-audience-segment-pass work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is research-audience-segment-pass safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is research-audience-segment-pass still maintained?
- The repository was last updated 33 days ago, so research-audience-segment-pass is actively maintained.
Skill content
View source on GitHubname: research-audience-segment-pass description: >- Step of the research-audience playbook: the worker brief for researching one buyer group, returning notes in a fixed shape. Run research-audience instead; not for direct use. version: 0.1.1
segment-pass
You are researching one buyer group for one brand. This brief is complete: don't load any skill, don't read playbook files, don't start other agents; use only web search and page reads — no GooseWorks calls. Do every section below, inside the budget, then return. Never stop to ask. A blocked, empty or login-only source goes under "Couldn't read" — nothing you couldn't read may carry a conclusion or a move.
Inputs (in the prompt): the group and how to recognise one · the brand, what it sells, its price, its site, its approved claims · what the brand's own customer data says about this group, if shared · quote rows already saved for this group (add to them, don't re-mine) · the rivals · today's date.
Budget — stop at it
- At most 12 web searches and 10 page reads. Search first; read a page only when you will quote or count from it. When a page read returns a summary, ask it for the exact sentences with author and date, not a summary.
- Order if you run short: §2 problems and §3 words → §4 places → §5 moves → §1 wants → §0 size → §6 rivals. Say what you dropped.
- Return at most 700 words in the shape at the end. No preamble.
Whose words count
Count: people in the group speaking first-hand — reviews (read on the review site), community threads and comments, their own posts — and the brand's customer data. Never as their voice: vendor blogs and landing pages (including a company writing about its own team), case studies, agency copy, trade press or analyst articles (a "brand rep" quoted by a journalist is second-hand), job posts, quotes copied onto someone else's page. Verbatim only, linked, dated, with who's speaking ("ops lead at a 40-person agency" — never a private person's name). At least 70% from the last 18 months; count it and report the share.
0. Size and buying roles
A count of buyers or companies, bottom-up (directory or store counts, company counts by size band, job-post counts, industry figures), each input linked or labelled an assumption, arithmetic in words. A community's member count is reach, not size. Who uses, who pays, who approves. No sourced count → "unknown".
1. What they want
1–3 outcomes in their words, linked — from their posts, review headlines, "how do I…" threads.
2. Their problems — and why they leave
The top 3–5, each: their words · how often (posts and distinct people) · how bad · one quote with link · solved / partly / not solved by the brand · proof (an approved claim, or "you'd need proof of X first"). Add why they switch or leave ("went back to X") where seen.
3. Their words
5+ quote rows for a group that may lead, 3+ otherwise — or "thin" and why. Each: "verbatim" — who — site, date, link. Add 2–3 rows of "they say / we say" (the brand's site words).
4. Where they gather
4–8 named places, each: activity (members, posts this week, cadence, next date) · evidence this group is there · link · read (you opened it and saw them) or unread.
5. Three moves
Each: channel · message in their words · first ask · who does it · what it needs · success check with a number and a date. Each rests on a read place; a move on an unread place is labelled "unverified — read the community and its rules first" and is never first.
6. Rivals
One line per rival: their words to this group, where they show up, where everyone sounds the same.
Return this shape
## <Group>
Recognise: … · Size: ~N (inputs + link + date, or unknown) · Uses / pays / approves: …
Evidence: N people first-hand, K kinds of source, M% last 18 months
Wants: …
Problems: | their words | how often | how bad | quote + link + date | solved/partly/not | proof |
Leave/switch: …
Words: "…" — who — (site, date, link) ×5 · they say / we say: …
Places: 1. <place> — activity — evidence they're there — read/unread — link + date seen …
Moves: 1. channel · message · ask · who · needs · check (number, date) — rests on <place> …
Rivals: …
Couldn't read / dropped: …
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
