13 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 13 plugins that match these filters.
lawve-ailawve-ai/awesome-legal-skills1
qa-cubecodecube01/qa-cube1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceComplete Vercel integration skill pack with 30 skills covering deployments, edge functions, preview environments, performance optimization, and production operations. Flagship+ tier vendor pack.
Connect your agent to a live Kubernetes cluster with mirrord, so it tests code changes against real services. Covers setup, config, CI, database branching, queue splitting, and preview environments.
GABBE ops skills (30): operations: deployment, environments, observability, incidents, performance, cost and release management.
Generate realistic test data and database seed scripts for development and testing environments
Manage test environments with Docker Compose, Testcontainers, and environment isolation
Framework for demonstrating AI capabilities in legal contexts. Provides detailed personas across tenant law, business contracts, startup disputes, employment claims, and consumer protection with progressive complexity scenarios. Use when: (1) Demonstrating AI-powered legal triage or intake systems, (2) Showcasing responsible AI-assisted client interactions, (3) Training staff on appropriate AI use in legal contexts, (4) Creating realistic scenarios for legal tech presentations, (5) Developing educational materials about AI in legal services, or (6) Testing AI-powered legal information systems in controlled environments.
A QA test-session engine: a manager plus the qa-analyst/qa-manual/qa-automator subagents, a session file scheme, reports and a mandatory retro. One flow for many projects — everything project-specific (tracker, test management, environments, autotests) lives in the project's own profile.
testingGovern Azure environments with compliance and security auditing, Microsoft Entra identity and app registration, agent identities, quota management, RBAC role selection, and Well-Architected review.
Developer reference for building applications, tools, and agents on the Pi Durable agent harness (@earendil-works/pi-durable) and the pi-ai model layer. Use when writing or debugging code that imports @earendil-works/pi-durable or pi-ai: assembling a Harness over memory/SQLite/JSONL/Durable Object storage, submitting input and waiting for answers, defining tools with TypeBox schemas and structured output, calling tools from tools, hooks and guards, durable tasks with checkpoints and ownership, subagents and child tasks, documents and migrations, code mode, tool search, per-conversation environments, compaction, recovery after a crash, storage and environment conformance tests, or choosing models and providers. Also use for durable-runtime behavior questions: what survives a restart, why an input stayed queued, why a task is blocked or orphaned, how abort cascades, or what the Pico5 specification requires.
MSW handlers, browser/server workers, test data. Use when setting up API mocking for development or testing, creating mock handlers with variants, or sharing mocks between browser and Node environments.
Use this skill to create subject-neutral images and videos in an analog occultism / industrial CRT noir aesthetic: near-monochrome archival technical atmosphere, severe low-key lighting, tactile signal degradation, industrial geometry, and quiet unresolved tension. Use for portraits, products, environments, interfaces, diagrams, abstract forms, stills, and motion. Do not use for colorful cyberpunk, vaporwave, glossy advertising, conventional horror, or clean digital renders.
Design, build, diagnose, and evolve agent harnesses: instructions, tools, execution environments, durable state, context management, verification, recovery, bounded autonomous loops, and software factories that repeatedly turn incoming work into accepted deliverables. Use for director/worker production systems, factory steering, unreliable coding agents, cross-session drift, premature completion, harness audits, or changes to the runtime around a model, including bounded typed-decision routing. Do not use for prompt rewriting alone, model training, general application architecture, or operating an already evaluated agent in production; route those concerns to their specialist skills.
A personal control plane for managing Codex and Claude Code environments.
