customer-research

customer-research is a skill for Claude Code from taizen-ai/taizen-claude-plugins. It costs 37 tokens per session (4,274 once invoked), scanned A, original, MIT.

A structured way to learn who customers are, what they need, how they use a product, and why they choose or leave it.

In plain words
What is it for?
Use it to define ideal customer profiles and buyer personas, describe jobs customers need done, summarize customer language, and study win/loss patterns and product usage.
Why use it?
It turns customer, sales, and product-use information into clearer audience definitions and patterns that teams can act on.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the taizen-gtm-skills plugin — 30 skills, 21 MCP servers shipped together

Good fit Use it to define ideal customer profiles and buyer personas, describe jobs customers need done, summarize customer language, and study win/loss patterns and product usage.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/taizen-ai/taizen-claude-plugins/customer-research
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add taizen-ai/taizen-claude-plugins --skill customer-research
Clone the repo
git clone --depth 1 https://github.com/taizen-ai/taizen-claude-plugins

Made for: Claude Code.

Or install taizen-gtm-skills, the plugin that ships this one along with the rest of its 30 skills, 21 MCP servers.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for customer-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/taizen-ai/taizen-claude-plugins/customer-research/github.svg)](https://agentmods.dev/skills/taizen-ai/taizen-claude-plugins/customer-research)
Your own site
<a href="https://agentmods.dev/skills/taizen-ai/taizen-claude-plugins/customer-research"><img src="https://agentmods.dev/badge/skills/taizen-ai/taizen-claude-plugins/customer-research/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for customer-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/taizen-ai/taizen-claude-plugins/customer-research"><img src="https://agentmods.dev/badge/skills/taizen-ai/taizen-claude-plugins/customer-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,274 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.04274
Opus 5.5 $0.00015 $0.01710
Sonnet 5.5 $0.00007 $0.00855
Haiku 4.5 $0.00004 $0.00427

Measured 2mo ago against content hash 656b41d80108, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

customer-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/taizen-gtm-skills/skills/customer-research/SKILL.md · 644 lines

How it starts

The opening of the file, as written. The whole thing — 644 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Customer Research Skill

Deep customer understanding through structured research frameworks, powered by real customer data.

Purpose

Build comprehensive customer intelligence that informs product, marketing, and sales strategies.


Required Integrations

Setup: Connect these data sources to enable full functionality. Claude will prompt you to connect any missing integrations when you use this skill.

Data Sources

# CUSTOMER RESEARCH DATA SOURCES
# Configure the sources relevant to your research needs

# Enterprise Search (searches across all internal sources)
- source: enterprise_search
  connector: "{{GLEAN | MOVEWORKS | ELASTIC}}"
  data:
    - internal_docs
    - wiki_content
    - shared_drives
    - slack_history

# CRM & Customer Data
- source: crm
  connector: "{{SALESFORCE | HUBSPOT}}"
  data:
    - customer_records
    - deal_history
    - win_loss_data
    - industry_segments
    - company_size_data
    - customer_lifecycle

# Product Usage & Analytics
- source: product_analytics
  connector: "{{MIXPANEL | AMPLITUDE | PENDO | HEAP}}"
  data:
    - user_behavior
    - feature_adoption
    - usage_patterns
    - cohort_analysis
    - retention_metrics

# Customer Feedback
- source: nps_surveys
  connector: "{{DELIGHTED | MEDALLIA | QUALTRICS | TYPEFORM}}"
  data:
    - nps_scores
    - survey_responses
    - feedback_themes
- source: review_sites
  sources:
    - g2
    - capterra
    - trustradius
  data:
    - customer_reviews
    - sentiment_analysis
    - competitive_mentions

# Conversation Intelligence
- source: call_recordings
  connector: "{{GONG | CHORUS | CLARI}}"
  data:
    - discovery_calls
    - win_loss_calls
    - objection_patterns
    - customer_language
    - competitive_mentions

# Support & Feedback
- source: support
  connector: "{{ZENDESK | INTERCOM | FRESHDESK}}"
  data:
    - ticket_themes
    - feature_requests
    - complaints
    - common_questions
- source: product_feedback
  connector: "{{PRODUCTBOARD | CANNY | USERVOICE}}"
  data:
    - feature_requests
    - voting_data
    - feedback_themes

# Customer Success
- source: customer_success
  connector: "{{GAINSIGHT | CHURNZERO | TOTANGO}}"
  data:
    - health_scores
    - churn_reasons
    - expansion_data
    - customer_segments

# Research Documents
- source: research_docs
  connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION | CONFLUENCE}}"
  paths:
    - "/Research/Customer Interviews/"
    - "/Research/Survey Results/"
    - "/Research/Personas/"
    - "/Research/ICP Documentation/"

# Marketing Intelligence
- source: marketing_analytics
  connector: "{{GOOGLE_ANALYTICS | HUBSPOT | MARKETO}}"
  data:
    - conversion_paths
    - content_engagement
    - lead_sources
    - attribution_data

Read the full file on GitHub · 644 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 644 lines · 37 tokens per session scan A 656b41d80108

Subscribe to this mod's changes

customer-research is a skill published in the GitHub repository taizen-ai/taizen-claude-plugins (8 stars, last pushed 5mo ago), licensed MIT. It adds 37 tokens to every session and 4,274 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

customer-research compared with skills from other repositories

customer-research next to 6 skills from other repositories
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