> ## Documentation Index
> Fetch the complete documentation index at: https://docs.userintuition.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Curate interview quality

> Use when the user wants to review interview quality or explicitly delete unusable interviews from one User Intuition study.

Use when the user wants to review interview quality or explicitly delete unusable interviews from one User Intuition study.

[Fetch raw SKILL.md](https://raw.githubusercontent.com/user-intuition/skills/1f5880347343099a9cbf38e4832d9a0b7338b85e/plugins/user-intuition-research/skills/curate-interview-quality/SKILL.md) · [Source](https://github.com/user-intuition/skills/blob/1f5880347343099a9cbf38e4832d9a0b7338b85e/plugins/user-intuition-research/skills/curate-interview-quality/SKILL.md) · [All skills](/skills/library)

Requires an authenticated [User Intuition MCP connection](/mcp-server/quickstart). Install the raw file as `curate-interview-quality/SKILL.md` inside your agent client's supported skills directory. The raw file is the installable artifact; this page is its documentation wrapper.

SHA-256: `59f144bc98e2ce6fa3b6228c70cac46b8781c7cf07d3392a11a4c0a99986abc5`

## Instructions

```markdown theme={null}
---
name: curate-interview-quality
description: Use when the user wants to review interview quality or explicitly delete unusable interviews from one User Intuition study.
---

When the user asks to curate quality:

1. Identify one study and call `list_interviews` with its `study_id`. Use the `quality` filter for Excellent, Good, Fair, or Poor subsets.
2. Fetch each interview under review with `get_interview`. Summarize why it may be low quality using only the returned messages and metadata.
3. Recommend an action, then wait. The current MCP surface does not provide `update_interview`, hide, or quality-override operations.
4. Call `delete_interview` only when the user explicitly confirms the exact interview ID. Never bulk-delete from a quality filter without per-study, clearly scoped confirmation.
5. Re-run `list_interviews` and report the after-state. Explain if the remaining usable sample is too small for reliable analysis.
```