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 skills add aditya-ariosity/ux-ui-skills --skill product-designgit clone --depth 1 https://github.com/aditya-ariosity/ux-ui-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/aditya-ariosity/ux-ui-skills/product-design)<a href="https://agentmods.dev/skills/aditya-ariosity/ux-ui-skills/product-design"><img src="https://agentmods.dev/badge/skills/aditya-ariosity/ux-ui-skills/product-design/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/skills/aditya-ariosity/ux-ui-skills/product-design"><img src="https://agentmods.dev/badge/skills/aditya-ariosity/ux-ui-skills/product-design.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 | $0.00101 | $0.01487 |
| Opus 5 | $0.00051 | $0.00744 |
| Sonnet 5 | $0.00020 | $0.00297 |
| Haiku 4.5 | $0.00010 | $0.00149 |
Grade A, and why
product-design 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 yesterday.
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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Design
Experimental foundation. Retrieval quality, context persistence, and end-to-end behavioral benchmarks are still being expanded. Do not present this skill as production-ready or use it implicitly.
Produce a coherent product experience, not a collection of fashionable screens. Ground decisions in the user's evidence and constraints, preserve choices already made, and expose uncertainty that could materially change the design.
Route before working
Use this skill for end-to-end creation or redesign. For a narrow request, use the specialist skill directly:
- existing artifact diagnosis:
ux-ui-audit; - analytical workspace or KPI surface:
dashboard-redesign; - AI capability or agent experience:
ai-product-design; - component library or token review:
design-system-review; - approved-design specification:
handoff-to-dev; - portfolio narrative:
case-study-writer.
Combine specialist skills only when their distinct output is required. Load only the repository resources needed for the task.
1. Establish project context
Build the smallest context model needed for the decision. Read references/project-context.md and use data/project-context.schema.json when context must persist or be validated.
Distinguish:
- supplied facts and constraints;
- observed evidence;
- reasonable inferences;
- unresolved assumptions;
- decisions already made by the user.
Preserve the user's chosen direction unless evidence or constraints invalidate it. Ask only when a missing answer would materially change the result; otherwise state the assumption and continue.
Validate persisted context:
SKILL_DIR="/absolute/path/to/product-design"
python3 "$SKILL_DIR/scripts/validate_context.py" "/absolute/path/to/project-context.json"
2. Research for a decision
Read references/research-workflow.md when current evidence, benchmarking, user research, market context, or precedent is needed.
What ships with it
18 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 313 B
- data/knowledge.jsonl 17 KB
- data/knowledge.schema.json 2.2 KB
- data/project-context.example.json 2.5 KB
- data/project-context.schema.json 2.3 KB
- references/design-reasoning.md 2.5 KB
- references/evaluation.md 1.9 KB
- references/knowledge-governance.md 2.6 KB
- references/project-context.md 3.1 KB
- references/research-workflow.md 2.6 KB
- references/visual-direction.md 2.3 KB
- scripts/context_validation.py 2.7 KB runs code
- scripts/evaluate.py 5.1 KB runs code
- scripts/search.py 8.8 KB runs code
- scripts/validate_context.py 548 B runs code
- scripts/validate_data.py 3.8 KB runs code
- tests/fixtures/benchmark-cases.json 4.6 KB
- tests/test_search.py 4.4 KB runs code
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.
- yesterday Changed · +12 lines · +41 tokens per session eb8803537da7
- 8d ago First seen · 142 lines · 60 tokens per session scan A 76222c5aa91b
product-design is a skill published in the GitHub repository aditya-ariosity/ux-ui-skills (2 stars, last pushed 2d ago), licensed MIT. It adds 101 tokens to every session and 1,487 once invoked, about $0.0005 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 2026-09-04.
Other skills, from other repositories
design-with-claude
Use when design work needs a product designer's eye: auditing a codebase for design-system gaps, fixing WCAG contrast and unlabeled inputs, choosing type scales or spacing steps, reviewing UI that looks generic or AI-generated, or designing forms, tables, dashboards, navigation, checkout, onboarding, dark mode, and…
Design
A comprehensive design operating system synthesized from 10 canonical design books. Covers research, typography, color theory, composition, branding, logo design, storytelling, web design, creative process, and professional practice.
Design
A comprehensive design operating system synthesized from 10 canonical design books. Covers research, typography, color theory, composition, branding, logo design, storytelling, web design, creative process, and professional practice.
hps-bauhaus
A visual-design fundamentals course for new brand designers — grid, type, color, and the exercises that build the eye. Built as a decision-grade professional training deck for junior designers, new hires.
html-ppt-zhangzara-pink-script
A wedding-anniversary tribute photo essay — a decade in scenes, the turning points, and the quiet meaning of staying. Built as a decision-grade story deck for couple, family, friends.
html-ppt-zhangzara-blue-professional
OpenDesign's QBR for the executive committee: what moved, what stalled, and the resource reallocation ask. Built as a decision-grade corporate strategy deck for executive committee.