Claude Code plugins
7 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
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Working with AI, organisation-side: the questions every manager is asking this year. Audit whether the AI spend paid, redesign roles AI has changed, write a usable AI policy, review performance when output is AI-assisted, and clear the slop out of your content.
Premium frontend design skills that override default AI design biases. Includes a configurable design system with anti-slop rules for React/Next.js/Tailwind, aesthetic variants (soft, minimalist, brutalist), project redesign auditing, Google Stitch integration, and full-output enforcement.
Redesigns existing HTML from its own content. 15 visual directions, standalone offline pages. Not a mood board.
design
Use when deciding whether an AI-enabled workflow should be adopted, scaled, constrained, redesigned, or retired, and the decision must connect business outcomes, worker or user effects, quality guardrails, full operating cost, telemetry, uncertainty, and accountable governance. Do not use for a standalone financial model, infrastructure cost calculation, agent evaluation design, runtime operations, or general AI governance; route those details to the neighboring specialist skills.
Use this skill to shape product or engineering work before committing time to it: set appetites instead of estimates, narrow raw ideas into bounded problems, sketch solutions at the right level of abstraction, de-risk rabbit holes, write pitches, bet with capped downside (circuit breaker), and govern builds with discovered scopes and scope hammering. Adapted from Basecamp's Shape Up and extended for human+AI-agent teams. Use when a raw idea, feature request, or "redesign X" grab-bag needs to become a bounded project before anyone builds; when planning how much work an idea is worth; or when delegated agent builds need budgets, kill criteria, and non-convergence rules. Do not use for discovering whether a problem is real (use product-discovery), for portfolio-level sequencing across quarters (product-roadmapping-and-portfolio), for formal specification after the bet is placed (spec-driven-development), or for task-level prioritization frameworks like RICE (product-methodology).
Migrate Argo Workflows to idiomatic ZenML pipelines with concept mapping, code translation, Kubernetes-native pattern flagging, and redesign guidance
Datadog observability skills for designing, redesigning, and auditing dashboards with proper widget selection, layout patterns, template variables, and operational readiness validation using the pup CLI, and for checking metrics against Datadog's no-cost metrics before creating custom ones
backend