Agent Skills

io.github.luoluoluo22/yanzi/mobile-notifier

Use this skill when the user asks to push a notification, send a message to their mobile phone, or communicate with the Android Yanzi app from the PC.

io.github.Mesh-LLM/mesh-llm/deploy-macos

Use this skill when deploying, installing, launching, or serving mesh-llm on a macOS machine (local or remote over SSH), including installing a release, shipping a dev build bundle, codesign/quarantine fixes, choosing a model, and verifying it serves.

io.github.Mesh-LLM/mesh-llm/deploy-windows

Use this skill when installing, deploying, launching, serving, or troubleshooting mesh-llm on a Windows machine — PowerShell install via install.ps1, flavor selection (CUDA/ROCm/Vulkan/CPU), source builds, the contrib helper scripts, and verifying it serves.

io.github.Mesh-LLM/mesh-llm/deploy-linux-gpu

Use this skill when deploying, installing, launching, or serving mesh-llm on a remote Linux GPU node (rented GPUs like Vast.ai or RunPod, or a self-managed CUDA server), including installing the CUDA build, choosing a model, keeping it alive under a supervisor, and verifying it serves.

io.github.latitude-dev/latitude-llm/database-clickhouse

ClickHouse queries, Goose migrations, chdb test schema, or telemetry storage paths.

io.github.peterfei/ai-agent-team/backend-dev

后端开发 Agent — API 设计、数据库优化、服务器端逻辑、认证授权、性能优化

io.github.symfony/symfony/symfony-security-review

Review a change (a PR, the current branch diff, or a set of files) or audit a component or the whole tree for missing or incorrect security hardening. Reasons about trust boundaries from first principles, then checks the code against Symfony's hardening-invariant families and runs the .github/sa-tools gates. Use when the user says "security review", "security audit", "check hardening", "review this PR/branch for security", "audit <component> for <vuln class>", "is any hardening missing", or names a vulnerability class to hunt for.

io.github.iamasters-academy/iamasters-os/automation-n8n-to-claude

Migra workflows de n8n/Make al ecosistema Claude Code. Analiza JSONs, mapea nodos, propone implementacion (skills, crons, web apps, dashboards) y detecta mejoras. Usa cuando el usuario pegue un JSON de n8n o mencione migrar automatizaciones.

io.github.iamasters-academy/iamasters-os/automation-n8n-builder

Crea, valida y despliega workflows de n8n desde Claude Code usando el MCP n8n-mcp. Úsala cuando el usuario diga "crea un workflow en n8n", "monta un n8n que haga X", "convierte esta idea en automatización", "diseña un flujo n8n", o describa una secuencia de pasos automatizables (recibir webhook → procesar → enviar a Slack, scheduler diario que lee de Google Sheets, etc.). Activable también con frases como "auto­matización", "n8n", "workflow", "trigger". NO uses esta skill para migrar workflows existentes de n8n a Claude — para eso usa automation-n8n-to-claude.

io.github.Klotzkette/claude-fuer-deutsches-recht/automation-monitoring

Automationen und Monitoring: Entwirft Monitore für Datenraum-Neuzugaenge, Q&A-Status, CP-Deadlines, Registerupdates, MAR-Signale und PMI-Aufgaben im Corporate/M&A-Kontext. Normen: MAR Art. 17, § 41 GWB (Vollzugsverbot), § 56 AWV.

io.github.Klotzkette/claude-fuer-deutsches-recht/database-collections-us-law

Prüft Datensammlungen, Auswahl/Anordnung, factual data, database licensing und EU/US-Missverständnisse im Us Copyright Registrierung Verlag.

io.github.poshan0126/dotclaude/refactor

Safely refactor code with test coverage as a safety net. Use `--diff` to simplify just the current working diff before committing.

io.github.PramodDutta/qaskills/docker-testcontainers

Integration testing with real dependencies in throwaway Docker containers using the Testcontainers Node.js API - GenericContainer, exposed ports, wait strategies, module containers, Docker Compose environments, and reliable cleanup.

io.github.x-cmd/x-cmd/agent-browser

Browser automation via Chrome/Chromium CDP — open, snapshot, click, screenshot. For testing web apps, mobile layouts, and automated interactions without Playwright/Puppeteer.

io.github.gradio-app/gradio/frontend-unit-testing

Write comprehensive, behaviour-driven unit tests for Gradio frontend Svelte components using Vitest browser mode, Playwright, and the @self/tootils test utilities.

io.github.K-Dense-AI/scientific-agent-skills/experimental-design

Design experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so the results will actually be interpretable. Use whenever someone is planning a study, asks how to assign subjects/samples to groups, mentions randomization, blocking, stratification, controls, factorial or fractional-factorial designs, design of experiments (DOE), screening many factors, response-surface optimization, crossover or repeated-measures or split-plot designs, cluster/group randomization, Latin squares, plate layouts, batch/run-order effects, replication vs. pseudoreplication, or sequential/adaptive/group-sequential designs. Trigger this even for informal phrasings like "how should I set up this experiment", "how do I avoid confounding", "what's the best way to test these 6 factors", or "assign these mice to conditions". For computing the sample size or power once the design is chosen, use statistical-power; for analyzing data already collected, use statistica

io.github.civitai/civitai/deploy-status

Check civitai PROD deployment status across the live Tekton -> Flux -> Flagger chain on the DataPacket cluster (kubectl, read-only). Tekton/Flagger cluster state is the primary truth; the GitHub Deployments API is kept as a public cross-check. Use to see where a deploy is in the chain, watch it to completion, or debug a build/canary failure.

io.github.mycelium-io/mycelium/cursor-e2e

Run end-to-end smoke tests for the Mycelium cursor adapter. Verifies cursor-agent prereqs, single-host dispatch, multi-host dispatch through the hub, cross-family negotiation with claude_code/openclaw, workspace asset drift, and auth failures. Use when validating the cursor integration on a fresh install, after touching cursor-family code (`integrations/cursor/**`, `daemon/dispatch.py`, `daemon/runner.py`), or after upgrading `cursor-agent` itself.

io.github.SethGammon/Citadel/refactor

Safe multi-file refactoring with automatic rollback. Establishes a type/test baseline, plans all changes, executes file-by-file, and verifies zero regressions. Reverts if verification fails after two fix attempts. Handles renames, extracts, moves, splits, merges, and inlines.

io.github.MCPJam/inspector/create-mcp-eval

Generate comprehensive eval tests for any MCP server using @mcpjam/sdk. Supports Jest and Vitest with deterministic and LLM-driven test patterns.

io.github.alirezarezvani/claude-skills/mcp-server-builder

Design and ship production-ready MCP (Model Context Protocol) servers from OpenAPI contracts instead of hand-written tool wrappers. Python and TypeScript support, schema validation, safe evolution. Use when exposing an existing API as an MCP server, building tool integrations for Claude or Codex or Cursor, or scaffolding an MCP project from scratch.

io.github.alirezarezvani/claude-skills/api-design-reviewer

Comprehensive REST API design review with automated linting, breaking-change detection, and design scorecards. Catches inconsistent conventions, missing versioning, and design smells before APIs ship. Use when reviewing a PR that adds or changes API endpoints, auditing an existing API for v2 migration, or establishing API standards for a team.

io.github.langfuse/langfuse/backend-dev-guidelines

Shared backend guide for Langfuse's Next.js, tRPC, BullMQ, and TypeScript monorepo. Use when creating or reviewing tRPC routers, public REST endpoints, BullMQ queue processors, backend services, middleware, Prisma or ClickHouse data access, OpenTelemetry instrumentation, Zod validation, env configuration, or backend tests across web, worker, or packages/shared.

io.github.iamasters-academy/iamasters-os/automation-loop-engine

Motor de Loop Engineering. Convierte trabajo repetitivo en sistemas: se diseñan UNA vez y se ejecutan N veces con verificación, compuertas humanas y aprendizaje acumulado (REGLAS.md). Tres funciones: (1) INSTALACIÓN — en el primer uso, entrevista de 5 preguntas para personalizar la skill al negocio, herramientas y límites de cada usuario; (2) RADAR — detectar cuándo una tarea se está convirtiendo en loop y preguntar «¿Lo diseñamos o lo disparo?»; (3) FÁBRICA — diseñar el loop (canvas de 9 campos), dispararlo, operarlo y evaluarlo. Usar siempre que el usuario diga "loop", "sistematiza esto", "automatiza este proceso", "línea de producción", "todas las semanas", "para cada cliente", "hazlo en lote", "diseña el sistema", "diseña el loop", "monta el sistema de", "deja de hacerlo a mano", "loop engineering", "convierte esto en un sistema", "configura la skill de loops", o pida repetir una tarea ya hecha 2+ veces en la conversación. Activar proactivamente (modo RADAR) a la 3ª repetición de una misma tarea con estru