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 meikocho1/alchemy-marketing-skills --skill experience-designgit clone --depth 1 https://github.com/meikocho1/alchemy-marketing-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/meikocho1/alchemy-marketing-skills/experience-design)<a href="https://agentmods.dev/skills/meikocho1/alchemy-marketing-skills/experience-design"><img src="https://agentmods.dev/badge/skills/meikocho1/alchemy-marketing-skills/experience-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/meikocho1/alchemy-marketing-skills/experience-design"><img src="https://agentmods.dev/badge/skills/meikocho1/alchemy-marketing-skills/experience-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 | $0.00218 | $0.01450 |
| Opus 5 | $0.00109 | $0.00725 |
| Sonnet 5 | $0.00044 | $0.00290 |
| Haiku 4.5 | $0.00022 | $0.00145 |
Grade A, and why
experience-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 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Experience Design — fix the felt moment, not the metric
Engineers optimise the average and the total. Humans remember the peaks, the end, and how uncertain they felt. The cheap, high-leverage fix is almost always in the feeling of a moment, not in the metric that describes it.
The principle
The number ("8 minute wait," "3 second load," "5 form fields") is not the experience. Attack the experience directly:
- Uncertainty hurts more than delay. Not knowing how long is worse than waiting a known amount. A progress bar, an ETA, or a visible queue position can beat an actual speed-up — at a fraction of the cost.
- Occupied time feels shorter than idle time. People aren't angry about waiting; they're angry about waiting with nothing happening. Give the wait a purpose or a view and the same duration feels fine.
- People judge an experience by its peak and its end (peak-end rule), not its average. One great moment and a strong finish outweigh a mediocre middle. Engineer a peak; never let it end on a low.
Canonical examples (steal these patterns)
- The Uber map. Showing the car moving toward you on a map didn't make it arrive faster — it killed the uncertainty. The anxiety, not the wait, was the problem. (Same insight: arrivals/departures boards, "your food is being prepared," package tracking.)
- The airport baggage walk. An airport got complaints about waiting at the carousel. Instead of speeding up the bags, they routed arriving passengers on a longer walk to the carousel — so the bags were already there when people arrived. Total time up, complaints down: idle waiting became occupied walking.
- Progress bars and "almost there." Showing progress (even slightly padded) makes the same wait tolerable, because it removes uncertainty and occupies attention.
How to apply
- Map the journey as emotions, not steps. Walk it as the customer and mark where they feel anxious, ignored, uncertain, or bored — not where the process is technically slow.
- Attack uncertainty first (cheapest win). Wherever someone is waiting blind, add visibility: an ETA, a status, a progress indicator, a "we've got it" acknowledgement. This usually beats making the thing actually faster.
- Occupy idle time. Turn dead waiting into something with a view, a purpose, or a small useful action.
- Engineer the peak and the end. Add one genuinely good moment, and make sure the experience finishes well (a thank-you, a confirmation, a small delight) — that's what gets remembered and retold.
- Compare against the metric-fix. Always show the user the trade: "Reducing the actual wait costs $X and weeks. Removing the uncertainty costs a status indicator. Try the feeling first."
What ships with it
1 file 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.
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 · 56 lines · 218 tokens per session scan A 0b7fbd5899f5
experience-design is a skill published in the GitHub repository meikocho1/alchemy-marketing-skills (3 stars, last pushed 10d ago), licensed MIT. It adds 218 tokens to every session and 1,450 once invoked, about $0.0011 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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