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 flitzrrr/frontend-design-skills --skill ai-design-workflowgit clone --depth 1 https://github.com/flitzrrr/frontend-design-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/flitzrrr/frontend-design-skills/ai-design-workflow)<a href="https://agentmods.dev/skills/flitzrrr/frontend-design-skills/ai-design-workflow"><img src="https://agentmods.dev/badge/skills/flitzrrr/frontend-design-skills/ai-design-workflow/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/flitzrrr/frontend-design-skills/ai-design-workflow"><img src="https://agentmods.dev/badge/skills/flitzrrr/frontend-design-skills/ai-design-workflow.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 | $0.00029 | $0.01541 |
| Opus 5 | $0.00015 | $0.00771 |
| Sonnet 5 | $0.00006 | $0.00308 |
| Haiku 4.5 | $0.00003 | $0.00154 |
Grade A, and why
ai-design-workflow 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 12d 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Design Workflow
AI is an assistant, not an autopilot. You retain control over direction, decisions, and quality. AI accelerates individual steps but replaces neither strategy nor judgment.
Scope
Use this skill when you:
- Integrate AI tools purposefully into design phases
- Structure prompts for design tasks
- Evaluate and contextualize AI-generated content (text, images)
- Use AI as a sparring partner during reviews
- Inform clients about AI usage
- Want to preserve your own design signature despite using AI
Principles
1. AI Is an Assistant, Not an Autopilot
You retain control. AI accelerates individual steps but replaces neither strategy nor judgment.
2. The Workflow Decides, Not the Tool
Define in advance which phases AI assists with and which it does not. Without a clear process, results are arbitrary.
3. Prompting Is Briefing
The same principles that apply to a good client briefing apply to AI: context, role, task, format, tone.
4. Combinatorial Strength, Conceptual Weakness
AI interpolates between known patterns (combinatorial creativity). The deliberate break with conventions comes from the human.
5. Transparency Toward Clients
Communicate openly where and how AI is used in the project. Concealed usage erodes trust.
6. Every AI Output Is a Draft
No AI output goes into production unchecked. Every result undergoes a human review.
Rules
DO: Deploy AI Purposefully per Design Phase
| Phase | AI Usage | Human Decides |
|---|---|---|
| Briefing | Analyze gaps and contradictions | Which questions are relevant |
| Research | Describe industry patterns, competition | Which insights are relevant |
| Personas | Sharpen assumptions, plausibility checks | Final persona definition |
| Concept | Moodboard variations, creative techniques | Which direction to pursue |
| Visual Design | Color palettes, font pairings, microcopy | Composition, consistency, final design |
| Review | Critical assessment, accessibility review | Whether feedback is implemented |
| Handoff | Documentation templates, style guide copy | Factual accuracy |
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.
- 12d ago First seen · 146 lines · 29 tokens per session scan A ff0195a58404
ai-design-workflow is a skill published in the GitHub repository flitzrrr/frontend-design-skills (5 stars, last pushed 5mo ago), licensed MIT. It adds 29 tokens to every session and 1,541 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 2026-08-31.
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