ssheleg skillssheleg-design

how it looks and moves

sheleg-design

The taste layer: cinematic scroll-driven landing pages (one scroll clock, motion that degrades to calm, WebGL particle formations), product-UI style packs with a ready token layer each, and the Figma border — tokens as variables, design to code.

v1.49.1pinned in this release of the family
1skill in the pack
1routing rule it owns

What it ships

Each name below is an entry point an agent can be routed to.

Shape: static. Packs and tokens are chosen, not discovered. The choice is recorded in the pack, so a second run reproduces the first.

Browse all 34 style packs →

the catalogue, rendered from each pack's own token layer — a data surface too large for this page, kept where it is built


Install just this one

Every pack installs standalone. The whole family is one command.

any agent the skills CLI supports
$
npx skills add ssheleg/sheleg-design-skill
claude code, as a plugin
$
claude plugin marketplace add ssheleg/sheleg-design-skill && claude plugin install sheleg-design@sheleg-design-skill

When the agent reaches for it

These are the rules the family writes into your agent's own instruction file — verbatim. Each one states the rule, the boundary in both directions, and the phrase that declines it.

/sheleg-design — how it looks and moves

  • when: there is a visual layer
  • decline it: «без дизайна» or «как есть».

If sheleg-design is installed, the visual layer goes through it — tokens and themes, typography and rhythm, motion and its degradation to calm, the brand's visual language, and the Figma seam (tokens as variables, design into code without hand-copied values). A cinematic landing page, a dashboard, an admin panel, an agent's interface — one and the same layer.

The boundary — "HOW it looks is being decided." NOT through it: a purely structural change (what sits where is super-ux), text (copywriting), the backend, internal scripts with no interface. Picking a palette for a log parser is how you teach an agent to route around it.

Refusal phrase: «без дизайна» or «как есть».

Among the routers: super-ux decides what the interface must do; sheleg-design how it looks and moves. The wireframe goes to the first, the visual on top of it to the second.


The rest of the family

super-ux v0.48.0

what the interface must do and how it sounds

Scenario-driven UI development: a versioned design chain in docs/ux/ — the product vision, personas and jobs, user flows and the paid-acquisition funnel among them, a screens-and-states map with Figma frames…

7 skillsRead →

task-pipeline v1.77.0

how a change reaches the repository

Full-cycle delivery orchestrator: an intake grill turns the request into a complete brief, then ten gated stages carry it from docs to acceptance, refusing to advance until each gate passes.

3 skillsRead →

agent-sync v1.17.0

who is holding this file right now

Coordination plane for concurrent agents: leases with a TTL so two agents cannot claim the same work, race-free id reservation, a run journal and a generated board, over a pluggable knowledge cloud.

1 skillRead →

make-skill v0.23.1

how the skill or plugin itself is built

A skill that builds skills: create, retrofit, audit and publish agent skills and Claude Code plugins — Agent Skills standard conformance, marketplace layout, version sync, validator + CI, every distribution…

1 skillRead →

seo-aeo-audit v0.25.1

whether a machine will find it

Evidence-first website audit for search and answer engines: ten tracks from crawl access to AI citation mechanics, every finding backed by an observation and every recommendation tiered, ending in a…

1 skillRead →

sheleg-dev v0.10.0

integrations: money in, tracking, sign-in, speed

The integration layer a product reaches once it has users: Stripe subscription billing reconciled into your own database — checkout, renewals, seats and proration, refunds, claim-first webhook idempotency…

7 skillsRead →

agent-stack v0.13.2

agent orchestrators, their evals, the protocols they speak, and the wallet under LLM resale

Production patterns for AI agent systems, in four skills. The orchestrator: tool-calling loops that survive context pressure, pipelines with human checkpoints and resume, provider routing with fallback and…

4 skillsRead →