customer-research
Investigate customer questions through multi-source research with confidence scoring and citations
Best use case
customer-research is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Investigate customer questions through multi-source research with confidence scoring and citations
Teams using customer-research should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/customer-research/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How customer-research Compares
| Feature / Agent | customer-research | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Investigate customer questions through multi-source research with confidence scoring and citations
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Customer Research Skill Overview The **customer-research** skill is a structured methodology for investigating customer questions through multi-source research. Here are its key components: ## Core Process The skill follows five steps: understanding the question, planning search strategy, executing systematic searches, synthesizing findings, and presenting with attribution. ## Source Hierarchy Sources are prioritized by authority: 1. **Tier 1** (Highest): Official documentation, knowledge bases, policies, and internal roadmaps 2. **Tier 2**: CRM records, support tickets, internal documents 3. **Tier 3**: Chat history, emails, calendar notes 4. **Tier 4**: Web searches, forums, third-party resources 5. **Tier 5**: Inferences and analogous situations ## Confidence Scoring Answers are labeled as: - **High**: Confirmed by authoritative sources or multiple corroborations - **Medium**: Found in informal sources or single sources without corroboration - **Low**: Inferred or from outdated/unreliable sources - **Unable to Determine**: No relevant information available ## Escalation Triggers Escalate when answers involve roadmap commitments, pricing, legal terms, security/compliance, precedent-setting, custom configurations, specialized expertise, or high-risk situations. ## Documentation Research findings should be captured in the knowledge base when they address recurring questions, required significant effort, or correct common misunderstandings, with date-stamps and quarterly reviews.
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