run-user-interview
Plan, configure and launch a structured user interview with AI participants against a live URL on Stunt Double, then read the synthesised report (summary…
Skill by stunt-double
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/stunt-double-run-user-interview
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/run-user-interview
What's inside
- Skill name
run-user-interview- Description
- Plan, configure and launch a structured user interview with AI participants against a live URL on Stunt Double, then read the synthesised report (summary, themes, recommendations).
- License
- MIT
- Instructions
- 11 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Run user interview
1. **Context:** `list_workspaces()`, `list_projects(workspace_id)`.
2. **Create:** `create_interview(workspace_id, project_id, name, target_url, research_brief?)`. `target_url` is where participants land; the brief is 1 to 3 paragraphs on what you want to learn and what it informs.
3. **Guide:** `add_interview_section(interview_id, title, intro_script?)`, then 2 to 5 items each via `add_interview_item(section_id, type, prompt_text, expected_evidence?)`. `type: "task"` has the participant act in the browser; `"question"` is an open-ended answer. Tasks beat questions for journey research; use questions for reactions and "why". Keep to 1 to 3 sections and about 15 items at most.
4. **Participants:** `add_interview_participant(interview_id, …)` with an `actor_id` (from `list_actors`, see `create-actor-panel`) or a `persona_spec` (`name`, `bio`, 3 to 5 `traits`). Use 3 to 5, varying segment, device and locale.
5. **Launch:** `launch_interview(interview_id)` is async; participants run in parallel.
6. **Watch:** `get_interview(interview_id)` shows each participant's status (`pending`, `running`, `completed`, `failed`). `get_interview_participant(participant_id)` returns the full transcript with actions.
7. **Report:** once all participants land, `get_interview_report(interview_id)` returns `{ summary, themes, recommendations, per_question_rollup }`. After changing participants or fixing a failed one, `regenerate_interview_report(interview_id)`. Retry failed participants (dashboard) before regenerating.From stunt-double/stuntdouble-mcp, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 16, 2026 (15 days ago)
- Last release
- Oct 14, 2026 (17 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/stunt-double/stuntdouble-mcp
- Website
- stuntdouble.io
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
run-user-interview skill. Agent Mart. https://agentmart.dev/skills/stunt-double-run-user-interview (last updated 2026-10-24)