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Design — Share · dkeken | DecimalAI

devopsby dkeken

Design — Share

dkeken/design-share

Source dkeken/codex-skills-alternative ↗License MIT

Publish a runnable prototype and return a shareable link. Prepares the prototype to run, starts/serves it (or deploys), and hands back a URL plus run instructions for review.

SkillScore68Maintained

Automatic

Design & UX Review pack

Last verified 8/6/2026

What it changes

Passed 14 of 20 test cases with the skill, and 11 of 20 without it.

Without skill55%

With skill68%

Checks it passed that the model alone missed

outlines the primary happy path click sequence for reviewers to follow
confirms user intention before initiating local tunnel exposure off-machine
directs the user to complete interactive prototyping prior to attempting design sharing

and 2 more in the full report

5 fixed10 passed either way5 still failing2 broke

Pass-rate lift: +14 pp
Tokens: +20%
Agent turns: 0%
Response time: -23%

Model gemini-3.6-flashMeasured 8/6/2026v115 of 22 cases passed with skill · 20 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/dkeken-design-share/SKILL.md https://app.decimal.ai/s/dkeken-design-share/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add dkeken-design-share, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/dkeken-design-share/ and pins it in .decimal/skills.lock

decimalai skills add dkeken-design-share

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/dkeken-design-share/SKILL.md https://app.decimal.ai/s/dkeken-design-share/SKILL.md

Raw file: /s/dkeken-design-share/SKILL.md ↗ · machine-readable summary at /s/dkeken-design-share.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 5

Prompt

Perform a full visual and functional audit of the checkout button states in `./checkout-proto` against the Figma spec.

What was checked, without and with the skill
Checked	Without skill	With skill
conducts a quality assurance visual inspection against design specifications rather than generating share links	Missed	Passed

case-20 · gemini-3.6-flash · 8/6/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md59 linessingle file

Design — Share

Get the prototype in front of reviewers with a working link + clear run notes. Final handoff stage. The goal is that someone who wasn't involved can open it, know what to look at, and leave useful feedback — without you in the room.

When to use

A QA'd prototype is ready to circulate for feedback.
"Share it", "give me a link", "publish", "let the team see it".
Handing off to stakeholders for review/sign-off.

When NOT to use

The prototype hasn't passed design-qa (especially HIGH items) — fix or explicitly flag first.
It's not runnable yet → design-prototype.

Inputs

The QA'd prototype (path).
Share method: local serve, tunnel, or deploy to a host.
Host/account constraints — ask before deploying anywhere external.

Workflow

Confirm it runs clean: install + build + start. Fix any breakers before sharing.
Pick the share method:
- Local — serve on a port; give the localhost URL + start command (good for solo/local review).
- Tunnel — expose local via a tunnel; only if the user wants external access right now.
- Deploy — push to a preview host (Vercel/Netlify/etc.). Only with explicit user go-ahead, since it sends code off-machine.
Write a review note: what to look at, the happy path to click, known stubs/TODOs, where to leave feedback.
Return the link + run instructions + review note.

Worked example

method: local serve (user wants to review on their machine)
preflight: `npm install` ok, `npm run build` clean, `npm run dev` boots :5173 ✓
deliverable:
  link: http://localhost:5173
  run:  `npm install && npm run dev`
  review this: complete the onboarding happy path (Welcome → Template → Name → Dashboard);
               check the empty-name error and the loading state on "Create"
  known stubs: templates are 3 fixtures; "Create" writes to in-memory store (no real API yet)
  feedback: leave notes in #design-review or as comments on the Figma frame

(If deploy was requested: confirm host, check for secrets/env files, deploy, return the live URL + same review note.)

Track record

Benchmark

14 / 20

test cases passed, vs 11 / 20 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/2/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

dkeken / codex-skills-alternative

skills/design-share/SKILL.md

View on GitHub ↗

License MITImported 8/2/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

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See it in action

What's inside

Design — Share

When to use

When NOT to use

Inputs

Workflow

Worked example

Track record

Benchmark

Adoption

SkillSafety

Source

Related skills