Customer Research
Nexus-JPF/note-companion
When the user wants to conduct, analyze, or synthesize customer research.
Dung khi can nghien cuu tep truoc khi chay ads — interest va behavior mapping, do rong tep, phan tang cold/warm/hot, va gia thuyet targeting de test.
Install 51 Audience Research
$ npx skills add minhnv0807/ai-business-skills --skill 51-audience-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install minhnv0807/ai-business-skills 51-audience-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/vi/51-audience-research .claude/skills/51-audience-research && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "51-audience-research" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/vi/51-audience-research into .claude/skills/51-audience-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "51-audience-research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/minhnv0807/ai-business-skills/tree/master/skills/vi/51-audience-researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add minhnv0807/ai-business-skills --skill 51-audience-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install minhnv0807/ai-business-skills 51-audience-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/vi/51-audience-research .agents/skills/51-audience-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "51-audience-research" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/vi/51-audience-research into .agents/skills/51-audience-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "51-audience-research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add minhnv0807/ai-business-skills --skill 51-audience-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install minhnv0807/ai-business-skills 51-audience-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/vi/51-audience-research .cursor/skills/51-audience-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "51-audience-research" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/vi/51-audience-research into .cursor/skills/51-audience-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "51-audience-research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/minhnv0807/ai-business-skills.git --path skills/vi/51-audience-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add minhnv0807/ai-business-skills --skill 51-audience-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install minhnv0807/ai-business-skills 51-audience-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/vi/51-audience-research .gemini/skills/51-audience-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "51-audience-research" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/vi/51-audience-research into .gemini/skills/51-audience-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "51-audience-research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install minhnv0807/ai-business-skills 51-audience-researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add minhnv0807/ai-business-skills --skill 51-audience-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/vi/51-audience-research .github/skills/51-audience-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "51-audience-research" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/vi/51-audience-research into .github/skills/51-audience-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "51-audience-research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add minhnv0807/ai-business-skills --skill 51-audience-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install minhnv0807/ai-business-skills 51-audience-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/vi/51-audience-research .opencode/skills/51-audience-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "51-audience-research" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/vi/51-audience-research into .opencode/skills/51-audience-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "51-audience-research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
51-audience-research- GitHub stars
- 609
- Token cost
- ~2.1k tokens
- SKILL.md length
- 992 words
- Files
- 1
- Skills in repo
- 142
- Repo updated
- First seen
- Licence
- MIT
At a glance
Dung khi can nghien cuu tep truoc khi chay ads — interest va behavior mapping, do rong tep, phan tang cold/warm/hot, va gia thuyet targeting de test.
- Works in 4 steps: San pham / dich vu can chay ads? Gia ban… → Da co data khach hang hien tai chua?… → Kenh can setup targeting? Meta / TikTok… → …
- Tasks that involve Market research
- SKILL.md covers Thu thap thong tin, Nguyen tac, Quy trinh and Cau truc ket qua, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
51 Audience Research is an agent skill from minhnv0807/ai-business-skills. Dung khi can nghien cuu tep truoc khi chay ads — interest va behavior mapping, do rong tep, phan tang cold/warm/hot, va gia thuyet targeting de test. Kich hoat khi user nhac 'nghien cuu audience', 'tep target', 'nham ai', 'interest targeting', 'chon tep chay ads', 'lookalike tu dau'. Khong dung cho — hieu tam ly va ngon ngu khach hang thi dung skill 09-insight-khach-hang; phan bo ngan sach cho tung tep thi dung skill 54-media-plan.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Market research. The repository describes itself as: 138 bilingual AI marketing skills (69 VN + 69 Global) for Claude Code, OpenCode, Codex, VS Code. Four role SOP packs — content, design, performance, leader ops — plus strategy… The licence is MIT.
When your agent uses it
- Tasks that involve Market research
Example prompts
- “nghien cuu audience”
- “tep target”
- “nham ai”
- “/51-audience-research”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- San pham / dich vu can chay ads? Gia ban va phan khuc thi truong (mass / mid / premium)?
- Da co data khach hang hien tai chua? (tuoi, gioi, dia ly, hanh vi mua, danh sach khach cu / lead cu / pixel data)
- Kenh can setup targeting? Meta / TikTok / Google / Zalo / YouTube — va objective chinh: Lead gen / Conversion / Traffic / Awareness?
- Ngan sach du kien va KPI target? (CPL / CPMess muc tieu neu da tinh — neu chua, goi 10-tinh-kpi-nguoc)
What it can do on your machine
Read from SKILL.md and the folder at commit 0360adc. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
51 Audience Research loads about 2.1k tokens when it runs. Until then it costs about 114 tokens; SKILL.md has 992 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from minhnv0807/ai-business-skills at commit 0360adc, republished under its MIT licence (© minhnv0807). 992 words, ~2,092 tokens.
Download SKILL.mdSave it as
.claude/skills/51-audience-research/SKILL.md (or your agent's skills folder).- name
- 51-audience-research
- description
- Dung khi can nghien cuu tep truoc khi chay ads — interest va behavior mapping, do rong tep, phan tang cold/warm/hot, va gia thuyet targeting de test. Kich hoat khi user nhac 'nghien cuu audience', 'tep target', 'nham ai', 'interest targeting', 'chon tep chay ads', 'lookalike tu dau'. Khong dung cho — hieu tam ly va ngon ngu khach hang thi dung skill 09-insight-khach-hang; phan bo ngan sach cho tung tep thi dung skill 54-media-plan.
- metadata.version
- 1.0.1
- metadata.category
- performance
- license
- MIT
- triggers
- nghien cuu audience, tep target, tim tep khach hang, audience research, interest targeting, audience Meta Ads, audience TikTok Ads, nham dung tep
- output
- File .md — audience profile day du, targeting settings san setup theo tung kenh, phan tang cold/warm/hot, danh sach gia thuyet targeting de test
- related
- 09-insight-khach-hang, 08-nghien-cuu-doi-thu, 10-tinh-kpi-nguoc, 52-account-structure, 54-media-plan, 56-retargeting-plan
Audience Research — Nghien Cuu Tep Cho Ads
Targeting sai = dot tien du copy hay, creative dep. Skill nay la buoc dau tien cua chuoi performance: 51 → 10-tinh-kpi-nguoc → 54-media-plan → 53-tracking-setup → 52-account-structure. Neu chua co insight khach hang, goi
09-insight-khach-hangtruoc.
Thu thap thong tin
Doc .agents/product-marketing-context.md va output cua 09-insight-khach-hang neu co. Neu thieu, hoi toi da 4 cau:
- San pham / dich vu can chay ads? Gia ban va phan khuc thi truong (mass / mid / premium)?
- Da co data khach hang hien tai chua? (tuoi, gioi, dia ly, hanh vi mua, danh sach khach cu / lead cu / pixel data)
- Kenh can setup targeting? Meta / TikTok / Google / Zalo / YouTube — va objective chinh: Lead gen / Conversion / Traffic / Awareness?
- Ngan sach du kien va KPI target? (CPL / CPMess muc tieu neu da tinh — neu chua, goi
10-tinh-kpi-nguoc)
Nguyen tac
- Targeting sai = dot tien. Lam audience research truoc khi viet copy hay len camp — khong lam nguoc.
- Khong lam 1 lan roi bo. Update audience profile khi co data campaign thuc te (sau 3-5 ngay chay, so sanh CPL/CPA theo segment).
- Cold: test broad truoc, narrow sau. Chi thu hep khi da co data chung minh. Thuat toan hien tai toi uu tot voi tep rong + creative dung.
- Khong nhoi qua nhieu interest cung luc. Moi ad set 1 nhom interest ro rang — nhieu interest tron lan thi khong biet cai nao work.
- Tep viet dung ngon ngu khach hang. Pain point ghi theo loi khach noi, khong viet nhu marketer.
- Audience size toi thieu cho cold: 100K-500K. Tep qua nho → CPM cao, nhanh bao hoa; qua rong khong co creative dan loi → loang.
Quy trinh
Buoc 1 — Core audience profile
Tong hop tu data khach hien tai (CRM, page insight, don hang) + insight tu 09-insight-khach-hang:
| Hang muc | Chi tiet |
|---|---|
| Tuoi | [khoang tuoi chinh + khoang phu] |
| Gioi tinh | [ti le nam/nu theo data thuc] |
| Dia ly | [tinh/thanh uu tien — theo kha nang giao hang/phuc vu] |
| Thu nhap uoc tinh | [khop voi muc gia san pham] |
| Nghe nghiep / vai tro | [nhom chinh] |
| Thiet bi chinh | Mobile / Desktop / Ca hai |
Buoc 2 — Psychographic & behavior
- Pain points chinh: 3-5 diem, viet dung ngon ngu khach hang.
- Motivation mua: ho mua vi muon dat gi / tranh gi.
- Online behavior: nen tang hay dung, gio online peak theo tung kenh (sang/trua/toi), loai content hay tuong tac (video / carousel / static / text).
Buoc 3 — Targeting settings theo kenh
Chi lam cho kenh se chay. Moi kenh output 1 block san setup:
- Meta Ads: Age range, Gender, Locations; Detailed targeting 10-15 interests lien quan (chia nhom de test rieng); Behaviors; Exclusions (khach da mua, lead da submit); danh gia Broad vs Narrow.
- TikTok Ads: Age, Gender, Interests, Behaviors (video lien quan da xem), Device iOS/Android.
- Google Ads: In-market audiences; Custom intent 10-15 keywords; Affinity; Customer match neu co danh sach.
- Zalo Ads: Do tuoi, gioi, dia ly, nghe nghiep, thiet bi.
- YouTube Ads: Custom intent (keywords video khach hay xem), Placement (kenh/video cu the), Topics.
Buoc 4 — Phan tang cold / warm / hot
| Tier | Dinh nghia | Signal | Nguon |
|---|---|---|---|
| Hot | Vao LP, add to cart, mo form, inbox chua chot | Pixel events, inbox | Meta, Google, CRM |
| Warm | Xem video >50%, engage page/post, click link, follow | Engagement custom audience | Meta, TikTok |
| Cold | Chua biet brand | Interest / behavior / broad / LAL | Tat ca kenh |
Quy tac: cold va warm/hot phai nam o campaign khac nhau, message khac nhau (xem 56-retargeting-plan). Luon exclude warm/hot khoi campaign cold de data sach.
Show full SKILL.md (411 more words)Show less
Buoc 5 — Lookalike seed
| Seed | Size toi thieu | LAL % | Platform | Muc tieu |
|---|---|---|---|---|
| Khach da mua | >=100 | 1-3% | Meta | Tim nguoi giong khach tot nhat |
| Lead chat luong | >=500 | 1-5% | Meta | Scale lead gen |
| Video viewer 75% | >=1000 | Broad LAL | TikTok | Scale awareness |
| Email list | >=300 | 1-5% | Meta | Mo rong tu CRM |
Seed cang chat (khach mua > lead > viewer) thi LAL cang chat luong. Khong tao LAL tu seed duoi nguong size.
Buoc 6 — Gia thuyet targeting de test
Moi gia thuyet 1 dong, dang "Neu target [X] thi [metric] se [Y] vi [Z]" — chuyen cho 19-ab-test-setup va 52-account-structure de len ad set:
| # | Gia thuyet | Bien test | Metric do | Uu tien |
|---|---|---|---|---|
| 1 | Broad + creative manh re hon interest | Broad vs Interest | CPL | Cao |
| 2 | [Interest nhom A] sat pain hon [nhom B] | Interest A vs B | CPL, CTR | Cao |
| 3 | LAL 1% khach mua chat hon LAL 3% | LAL % | CPL, close rate | Trung binh |
| 4 | [Age segment X] chuyen doi tot hon | Age split | CPL | Thap |
Toi da 3-5 ad set test cung luc — nhieu hon thi budget loang, khong du data ket luan.
Cau truc ket qua
Ten file: audience-research-[ten-san-pham]-[YYYYMMDD].md
# Audience Research — [San pham]
Ngay: [YYYY-MM-DD] · Kenh: [Meta/TikTok/...] · Objective: [Lead/Conversion/...]
## 1. Core audience profile
| Tuoi | Gioi | Dia ly | Thu nhap | Nghe nghiep | Thiet bi |
## 2. Psychographic & behavior
- Pain points: [3-5, ngon ngu khach hang]
- Motivation: [muon gi / tranh gi]
- Online behavior: [nen tang, gio peak, format ua thich]
## 3. Targeting settings theo kenh
### Meta: [age/gender/location/interests theo nhom/behaviors/exclusions]
### TikTok: [...] · Google: [...] · Zalo: [...]
## 4. Audience tiers
| Tier | Audience | Signal | Campaign su dung |
## 5. Lookalike seeds
| Seed | Size | LAL % | Platform | Muc tieu |
## 6. Gia thuyet targeting (chuyen cho A/B test)
| # | Gia thuyet | Bien test | Metric | Uu tien |
## 7. Ghi chu do rong tep
- Audience size uoc tinh tung ad set: [so] — cold nen o 100K-500K
- Overlap can tranh: [cac tep de trung nhau]Sau khi co data thuc te
- Sau 3-5 ngay chay: so sanh CPL/CPA theo tung audience segment, ghi lai winner/loser vao profile.
- Tep thang → nhan sang LAL/broad tuong tu (xem
55-scaling-ads). Tep thua → ghi ly do, khong test lai y het. - Moi ky (thang) doi chieu lai profile voi data CRM: lead tu tep nao chot tot nhat — CPL re chua chac lead chat.
Lien ket skill
09-insight-khach-hang: chay truoc — cung insight, pain, ngon ngu khach hang.08-nghien-cuu-doi-thu: xem doi thu dang target ai, angle nao (Ads Library).10-tinh-kpi-nguoc: tinh CPL max / budget truoc khi len plan.54-media-plan: dung audience nay de phan bo kenh va budget.52-account-structure: chuyen targeting settings thanh cau truc ad set.56-retargeting-plan: chi tiet phan tang warm/hot va message theo tang.
Checklist chat luong
- Profile dua tren data thuc (CRM, page insight, khao sat) — khong doan
- Pain points viet dung ngon ngu khach hang, khong phai ngon ngu marketer
- Targeting settings du cho tung kenh se chay, san paste vao Ads Manager
- Co du 3 tang cold/warm/hot + quy tac exclude giua cac tang
- LAL seed du size toi thieu, ghi ro % test
- Co 3-5 gia thuyet targeting kem bien test va metric do
- Audience size cold trong khoang 100K-500K (hoac ghi ro ly do lech)
- Co ke hoach update profile sau 3-5 ngay chay thuc te
© minhnv0807, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/vi/51-audience-research of minhnv0807/ai-business-skills.
Open the folder on GitHubat commit 0360adc
Compare with similar skills
51 Audience Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| 51 Audience Research this skillminhnv0807/ai-business-skills | 609 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Customer ResearchNexus-JPF/note-companion | 870 | 6 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Creative Directorsmixs/creative-director-skill | 247 | — | ~5.1k | Automated safety check: Pass | CC-BY-4.0 | |
| Audience ResearchScrapeCreators/social-media-research-skills | 3.4k | — | ~635 | Automated safety check: Notes | MIT | |
| Last 30 Days Trend Researchnexu-io/open-design | 100k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Bggg Data Redditbinggandata/bggg-skills | 605 | — | ~1.2k | Automated safety check: Pass | MIT |
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Questions about 51 Audience Research
What does 51 Audience Research do?
Dung khi can nghien cuu tep truoc khi chay ads — interest va behavior mapping, do rong tep, phan tang cold/warm/hot, va gia thuyet targeting de test. 51 Audience Research is an agent skill from minhnv0807/ai-business-skills. Dung khi can nghien cuu tep truoc khi chay ads — interest va behavior mapping, do rong tep, phan tang cold/warm/hot, va gia thuyet targeting de test.
When should I use 51 Audience Research?
51 Audience Research fits situations like: tasks that involve Market research.
How do I install 51 Audience Research in Claude Code?
Run `npx skills add minhnv0807/ai-business-skills --skill 51-audience-research -a claude-code`. Or copy the skill folder (skills/vi/51-audience-research in minhnv0807/ai-business-skills) into .claude/skills/51-audience-research in your project. Claude Code loads it when a task matches its description.
How do I install 51 Audience Research in Codex?
Run `npx skills add minhnv0807/ai-business-skills --skill 51-audience-research -a codex`. Or copy the skill folder (skills/vi/51-audience-research in minhnv0807/ai-business-skills) into .agents/skills/51-audience-research in your project. Codex loads it when a task matches its description.
Can I use 51 Audience Research in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add minhnv0807/ai-business-skills --skill 51-audience-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/51-audience-research, .gemini/skills/51-audience-research, .github/skills/51-audience-research and .opencode/skills/51-audience-research in your project.
What does 51 Audience Research need to run?
SKILL.md names no scripts, command-line tools or credentials: 51 Audience Research is instructions for the agent only.
Does 51 Audience Research access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is 51 Audience Research safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does 51 Audience Research use?
51 Audience Research is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does 51 Audience Research use?
About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to 51 Audience Research?
Skills that share tags, products or a category with 51 Audience Research: Customer Research (Nexus-JPF/note-companion, 870 stars), Creative Director (smixs/creative-director-skill, 247 stars), Audience Research (ScrapeCreators/social-media-research-skills, 3.4k stars) and Last 30 Days Trend Research (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains 51 Audience Research?
minhnv0807 (a GitHub user) maintains it in minhnv0807/ai-business-skills, which has 609 GitHub stars. The repository holds 142 skills in this directory. The repository was last updated on September 12, 2026.
Source: minhnv0807/ai-business-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.