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Considered Design Skill
A design-reasoning skill for AI coding agents.
Considered makes your coding agent frame the decision, structure the surface, and pass an independent review before shipping the UI. Works with Claude Code.
I built Considered because I kept running into the same problem with AI-generated interfaces.
I’d ask an agent for a screen and get all the right ingredients: cards, charts, a sidebar, decent styling. Everything rendered. But nothing felt decided.
The biggest number was often just whatever came first in the data. Actions had no real hierarchy. The interface looked designed, but there wasn’t much evidence that the agent had thought through what the user was actually there to do.
Considered adds a step before the build.
The agent has to define what decision the screen is for, what deserves attention, and which actions belong at the page, section, or object level. Then a second agent reviews the result without seeing the first agent’s reasoning.
A build can’t sign off on itself.
I ran two blind evaluations against a baseline, and Considered won 24 of 30 pairwise comparisons. The reviewers were models, not people, so I see that as a signal, not proof.
The more interesting finding was where it failed.
In the first eval, Considered invented more details than the baseline: names, policies, durations, things nobody had provided. More structure gave the agent more places to confidently fill in the blanks.
I added a ruleset to address that, and I’ve documented the failure alongside the wins.
Mostly, I’d love help finding the next thing that breaks.
If the direction fights your product, the hierarchy feels wrong, or the review approves something it obviously shouldn’t have, tell me. That usually means there’s a rule missing.
About Considered Design Skill on Product Hunt
“A design-reasoning skill for AI coding agents.”
Considered Design Skill was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #89 on the daily leaderboard. Considered makes your coding agent frame the decision, structure the surface, and pass an independent review before shipping the UI. Works with Claude Code.
On the analytics side, Considered Design Skill competes within Design Tools, User Experience, GitHub and Vibe coding — topics that collectively have 672.5k followers on Product Hunt. The dashboard above tracks how Considered Design Skill performed against the three products that launched closest to it on the same day.
Who hunted Considered Design Skill?
Considered Design Skill was hunted by Mohsin Amjed. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Considered Design Skill including community comment highlights and product details, visit the product overview.
Mohsin Amjed
I built Considered because I kept running into the same problem with AI-generated interfaces.
I’d ask an agent for a screen and get all the right ingredients: cards, charts, a sidebar, decent styling. Everything rendered. But nothing felt decided.
The biggest number was often just whatever came first in the data. Actions had no real hierarchy. The interface looked designed, but there wasn’t much evidence that the agent had thought through what the user was actually there to do.
Considered adds a step before the build.
The agent has to define what decision the screen is for, what deserves attention, and which actions belong at the page, section, or object level. Then a second agent reviews the result without seeing the first agent’s reasoning.
A build can’t sign off on itself.
I ran two blind evaluations against a baseline, and Considered won 24 of 30 pairwise comparisons. The reviewers were models, not people, so I see that as a signal, not proof.
The more interesting finding was where it failed.
In the first eval, Considered invented more details than the baseline: names, policies, durations, things nobody had provided. More structure gave the agent more places to confidently fill in the blanks.
I added a ruleset to address that, and I’ve documented the failure alongside the wins.
Mostly, I’d love help finding the next thing that breaks.
If the direction fights your product, the hierarchy feels wrong, or the review approves something it obviously shouldn’t have, tell me. That usually means there’s a rule missing.