Agent skill

Customer Research

by cbrock84 in cbrock84/headcount

Plans, runs, and synthesizes customer research — interviews, surveys, win-loss analysis, and message testing — into findings that change decisions.

MITAuto-check passedMarketing & SEO

Install Customer Research

skills CLI
$ npx skills add cbrock84/headcount --skill customer-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install cbrock84/headcount customer-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/cbrock84/headcount.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/marketing/skills/customer-research .claude/skills/customer-research && rm -rf skills-src

Use ~/.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/

Facts

Skill name
customer-research
GitHub stars
2k
Token cost
~651 tokens
SKILL.md length
346 words
Files
2 (incl. references)
Skills in repo
178
Repo updated
First seen
Licence
MIT

At a glance

Plans, runs, and synthesizes customer research — interviews, surveys, win-loss analysis, and message testing — into findings that change decisions.

  • Turn raw interview notes into usable findings
  • SKILL.md covers Choose the method by question, Interviewing, Synthesizing and Sources, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Market research

What it does

Customer Research is an agent skill from cbrock84/headcount. Plans, runs, and synthesizes customer research — interviews, surveys, win-loss analysis, and message testing — into findings that change decisions. Use this when the customer is being guessed at, before positioning or a major launch, when churn or conversion has an unexplained cause, or when a team is arguing from anecdotes. Also use to turn raw interview notes into usable findings.

Its SKILL.md is about 650 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/sources.md`).

It sits in Marketing & SEO, covering Market research. The repository describes itself as: An agent organization structured as a company — 15+ departments, 125+ skills, each independently installable, citing the standards and regulators that settle the question. Runs… The licence is MIT.

When your agent uses it

  • Turn raw interview notes into usable findings
  • Tasks that involve Market research

Example prompts

  • “/customer-research”

What it can do on your machine

Read from SKILL.md and the folder at commit 98d1c17. 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.

    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

Customer Research loads about 651 tokens when it runs, and up to ~891 if it reads all its reference files. Until then it costs about 101 tokens; SKILL.md has 346 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~101
When it runs · the whole SKILL.md, loaded when a task matches
~651
With references · SKILL.md plus every file in references/, read only if the agent opens them
~891

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 cbrock84/headcount at commit 98d1c17, republished under its MIT licence (© cbrock84). 346 words, ~651 tokens.

Download SKILL.mdSave it as .claude/skills/customer-research/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
customer-research
description
Plans, runs, and synthesizes customer research — interviews, surveys, win-loss analysis, and message testing — into findings that change decisions. Use this when the customer is being guessed at, before positioning or a major launch, when churn or conversion has an unexplained cause, or when a team is arguing from anecdotes. Also use to turn raw interview notes into usable findings.

Customer research

Research earns its cost only if a decision hangs on it. Name that decision before recruiting anyone.

Choose the method by question

  • Why did this happen / what do they actually do — interviews. Small n, deep.
  • How common is this — survey. Only after interviews have told you what to ask; a survey written from assumptions returns your assumptions.
  • Why did we win or lose — win-loss, with losses weighted higher. Losses are where the truth is and are systematically under-sampled.
  • Which framing works — message testing against a real choice, not a preference rating.

Interviewing

Ask about the past, not the future. "What did you do last time" is evidence; "would you use this" is politeness.

  • Open broad, follow the energy, and go quiet after their first answer — the second one is where the substance is.
  • Chase specifics: when, what happened next, what did that cost you, who else was involved.
  • Never describe your solution before you have their problem in their words. Once they know what you want to hear, the interview is over.
  • Watch for the workaround. Anything someone has built a spreadsheet to survive is a validated problem.

Synthesizing

Code the transcripts before forming a view — findings assembled to support an existing belief will be. For each finding record: the claim, how many independently said it, a verbatim quote, and what would change if it is true. A finding that changes nothing is trivia.

Separate what people said, what they did, and what you inferred. Conflating the three is the most common way research misleads.

Sources

references/sources.md in this skill lists the outside authorities that settle the questions here — what each one is authoritative for, and what you may do with it. Check them before answering on anything they cover, and cite what you used. Most are free to read and not free to reproduce; the use note on each is binding.

Never

  • Recruit only happy customers. The sample that answers your email is not your market.
  • Lead: "How much would this feature help?" has one answer.
  • Present a single interview as a finding.

© cbrock84, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in plugins/marketing/skills/customer-research of cbrock84/headcount.

  • SKILL.md
  • references/sources.md

Open the folder on GitHubat commit 98d1c17

Compare with similar skills

Customer 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.

Customer Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Customer Research this skillcbrock84/headcount2k—~651Automated safety check: PassMIT
Customer ResearchNexus-JPF/note-companion8706 repos~3.2kAutomated safety check: PassMIT
Creative Directorsmixs/creative-director-skill248—~5.1kAutomated safety check: PassCC-BY-4.0
Audience ResearchScrapeCreators/social-media-research-skills3.4k—~635Automated safety check: NotesMIT
Last 30 Days Trend Researchnexu-io/open-design100k—~1.3kAutomated safety check: PassMIT
Bggg Data Redditbinggandata/bggg-skills604—~1.2kAutomated safety check: PassMIT

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Categories

Questions about Customer Research

What does Customer Research do?

Plans, runs, and synthesizes customer research — interviews, surveys, win-loss analysis, and message testing — into findings that change decisions. Customer Research is an agent skill from cbrock84/headcount. Plans, runs, and synthesizes customer research — interviews, surveys, win-loss analysis, and message testing — into findings that change decisions.

When should I use Customer Research?

Customer Research fits situations like: turn raw interview notes into usable findings; tasks that involve Market research.

How do I install Customer Research in Claude Code?

Run `npx skills add cbrock84/headcount --skill customer-research -a claude-code`. Or copy the skill folder (plugins/marketing/skills/customer-research in cbrock84/headcount) into .claude/skills/customer-research in your project. Claude Code loads it when a task matches its description.

How do I install Customer Research in Codex?

Run `npx skills add cbrock84/headcount --skill customer-research -a codex`. Or copy the skill folder (plugins/marketing/skills/customer-research in cbrock84/headcount) into .agents/skills/customer-research in your project. Codex loads it when a task matches its description.

Can I use Customer 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 cbrock84/headcount --skill customer-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/customer-research, .gemini/skills/customer-research, .github/skills/customer-research and .opencode/skills/customer-research in your project.

What does Customer Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Customer Research is instructions for the agent only.

Does Customer 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 Customer 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 Customer Research use?

Customer Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Customer Research use?

About 651 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 240 tokens, read only when the agent opens those files.

What are the alternatives to Customer Research?

Skills that share tags, products or a category with Customer Research: Customer Research (Nexus-JPF/note-companion, 870 stars), Creative Director (smixs/creative-director-skill, 248 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 Customer Research?

cbrock84 (a GitHub user) maintains it in cbrock84/headcount, which has 2,016 GitHub stars. The repository holds 178 skills in this directory. The repository was last updated on September 17, 2026.

Source: cbrock84/headcount on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.