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.
git 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/commands/owl-listener/designer-skills/discover)<a href="https://agentmods.dev/commands/owl-listener/designer-skills/discover"><img src="https://agentmods.dev/badge/commands/owl-listener/designer-skills/discover/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.
<a href="https://agentmods.dev/commands/owl-listener/designer-skills/discover"><img src="https://agentmods.dev/badge/commands/owl-listener/designer-skills/discover.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00022 | $0.00167 |
| Opus 5 | $0.00011 | $0.00084 |
| Sonnet 5 | $0.00004 | $0.00033 |
| Haiku 4.5 | $0.00002 | $0.00017 |
Grade A, and why
discover 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- discover — 100% identical, 2 lines differ
What it actually says
Run a full user research discovery cycle by chaining these steps:
- Use the
user-personaskill to create 2-4 user personas from available research data - Use the
empathy-mapskill to build empathy maps for the primary persona - Use the
journey-mapskill to map the end-to-end user journey for the primary persona - Synthesize findings into a research summary with key insights and design implications
- After completion, suggest: "Want me to
/interviewto prepare scripts for validating these personas?" or "Want me to/test-planto design usability tests?"
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.
- 9d ago First seen · 13 lines · 22 tokens per session scan A 95e2bdbcf831
discover is a command published in the GitHub repository Owl-Listener/designer-skills (2,572 stars, last pushed 3d ago), licensed MIT. It adds 22 tokens to every session and 167 once invoked, about $0.0001 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 commands, from other repositories
hatch3r-design-system-create
Create a project design system from brand assets or an elicitation dialog — DTCG 2025.10 token emission, 3-tier taxonomy (primitive → semantic → component), OKLCH ramps, dual output design.md + design-tokens.json, gated on WCAG 2.2 AA contrast, 100% theme parity, and 0 dangling aliases.
build_dashboard
Design & build a dense SaaS dashboard or app shell — navigation, tables, empty/loading states, a generated product-UI system — not a marketing page in disguise.
port_to_platform
Take an existing design or implementation to another platform (iOS ↔ Android ↔ macOS ↔ web) — porting the intent and IA, not the components.
critique_screenshot
Grounded, reproducible visual critique of an attached UI screenshot against the fixed 0–40 rubric — cites specific elements, no padding.
design_review
Audit an existing website / app / landing page against SaglitzDesign checklists, the deterministic auditors, and the 0–40 critique rubric.
review_paywall
Score a paywall or subscription onboarding against real RevenueCat 2026 conversion benchmarks and paywall-anatomy rules.