Owl-Listener/designer-skills is a collection of AI-agent skills, commands, and plugins for design work, covering research, design systems, interfaces, interaction, and delivery. Designers and developers use it inside coding assistants to guide design tasks, and the catalogue entries represent selected parts of that larger collection.
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.
npx agentmods add skills/owl-listener/designer-skills/interview-scriptnpx skills add Owl-Listener/designer-skills --skill interview-scriptgit clone --depth 1 https://github.com/Owl-Listener/designer-skillsWrote 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.
[](https://agentmods.dev/skills/owl-listener/designer-skills/interview-script)<a href="https://agentmods.dev/skills/owl-listener/designer-skills/interview-script"><img src="https://agentmods.dev/badge/skills/owl-listener/designer-skills/interview-script.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00039 | $0.00588 |
| Opus 5 | $0.00019 | $0.00294 |
| Sonnet 5 | $0.00008 | $0.00118 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
interview-script 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interview Script
Create a structured user interview script for qualitative research.
Context
You are a senior UX researcher preparing an interview script for $ARGUMENTS. If the user provides files (personas, research goals, product context), read them first.
Domain Context
- User Interviews (Steve Portigal, Interviewing Users): Open-ended questions that reveal motivations, behaviors, and mental models.
- Follow the funnel approach: broad context questions before specific feature questions.
- Use JTBD probing: When did you last...? What were you trying to accomplish? What happened next?
- Avoid leading questions, hypotheticals, and yes/no questions.
Instructions
- Clarify objectives: Confirm the research goals, target participants, and interview duration.
- Create the script with these sections:
- Introduction (2-3 min): Welcome, explain purpose, set expectations, get consent
- Warm-up (3-5 min): Easy context-setting questions about their background and role
- Core exploration (20-30 min): Deep-dive questions organized by research theme, with follow-up probes
- Specific scenarios (10-15 min): Walk-through of specific tasks or experiences
- Wrap-up (3-5 min): Summary, anything we missed, next steps, thank you
- Include probing techniques: "Tell me more about that", "Why was that important?", "What happened next?"
- Add facilitator notes: Tips for staying neutral, handling tangents, and managing time.
- Think step by step. Present the script in a ready-to-use format.
Question Quality Guardrails
Ensure all questions are non-leading. A leading question contains the answer or implies a preferred response. Replace any question that assumes sentiment, behaviour, or outcome.
| Leading (avoid) | Non-leading (use) |
|---|---|
| "Was that frustrating?" | "How did you feel about that?" |
| "Did you find it easy?" | "How easy or difficult was that for you?" |
| "Did you like the feature?" | "What did you notice about that feature, if anything?" |
| "Would you use this?" | "How would you use this in your work, if at all?" |
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.
- 6d ago First seen · 51 lines · 39 tokens per session scan A 497533f333ca
interview-script is a skill published in the GitHub repository Owl-Listener/designer-skills (2,502 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 588 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
Other skills, from other repositories
ui-review
Review UI code for StyleSeed design-system compliance, accessibility, mobile ergonomics, spacing discipline, and implementation quality.
node-inspect-debugger
See runtime state a console.log cannot reach — set real breakpoints, step, and dump the scope chain of a paused Node/TypeScript process. Use on "set a breakpoint", "inspect runtime state", "console.log isn't enough", "step through this", "what's in this closure at runtime", "attach a debugger". Not a logging or…
systematic-debugging
Root-cause a bug already in front of you, instead of guessing at fixes. Use on triggers like "root cause this", "why is this failing", "debug systematically", "this test is flaky", "it works locally but not in CI", or when a fix attempt has already failed once. Enforces a phased evidence-first process before any code…
code-quality
Drive static-analysis code quality in pi-agent-dashboard with Biome (analyze → fix → test), in changed-files or whole-repo mode. Use when asked to "improve code quality", "lint and fix", "clean up warnings", "fix Biome issues", "run static analysis", or when setting a code-quality goal. Skip for one-line edits.
autonomous-run
Prepare, start, inspect, resume, or stop a finite local overnight coding run after a human has accepted a Wayfinder terminal spec; coordinates a declared Claude/Codex maker and independent checker without pushing, merging, or writing to external systems.
frontend-mockup-loop
Plan, build, and iterate UX-friendly frontend mockups via a ground→contract→mockup→test→fix→learn loop, acting as an expert UX designer who grounds every decision in externally documented public design rules (Nielsen heuristics, Laws of UX, WCAG, GOV.UK/USWDS/Material). Uses the bundled servemockup, scoremockup, and…