SSHLG 👾

Six agent skills, one command, every agent. Umbrella installer for the ssheleg skill family — super-ux, task-pipeline, agent-sync, make-skill, sheleg-design, seo-aeo-audit — across Claude Code, Cursor, Codex and 70+ more.

The taste layer for AI coding agents: cinematic scroll-driven landing pages (one scroll clock, motion that degrades to calm, WebGL particle formations), product-UI style packs each shipping a ready token layer, and the Figma border — tokens as variables, design to code without hand-copied values.

Full-cycle delivery orchestrator for AI coding agents: a mandatory intake grill that front-loads every decision, then ten gated stages — docs, brainstorm, decompose, spec, plan, build, tests, deploy, post-deploy, acceptance — with a loop guard that breaks churn.

Evidence-first website audit for search AND answer engines. Ten tracks from crawl access to AI citation mechanics; every finding carries an observation, every recommendation an evidence tier. Output is a prioritized change plan plus a link-building brief with keyword CSV — not a score.

Several coding agents, one repository, no collisions — leases with a TTL, race-free id reservation, a run journal and a generated board over a pluggable knowledge cloud. Ships in the sshlg-skills bundle.

Scenario-driven UI development for AI coding agents: a versioned design chain in docs/ux/ — personas and jobs → user flows → a screens-and-states map with Figma frames → traced scenarios → evidence-backed audits → fix plans. One /ux entry point, a linter that fails when the docs drift from the code.

A skill that builds skills: create, audit and ship Agent Skills and Claude Code plugins — conformance to the open standard, a validator that can fail, every distribution channel, and the MCP/A2A boundary.

Proof of Done — The Agentic Software Development Manifesto. When agents write the code, done is a state of the system that can be proven.

Production patterns for building AI agent orchestrators — and for billing the LLM access they burn.