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/database-collections-us-law

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

io.github.mem0ai/mem0/memory-reviewer

Reviews stored memory quality by detecting duplicates, contradictions, and stale entries with actionable recommendations. Use when search results seem conflicting, before running dream consolidation, or for periodic memory hygiene audits.

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.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

io.github.latitude-dev/latitude-llm/testing

Writing or debugging tests, choosing unit vs integration style, Postgres/ClickHouse tests, regenerating ClickHouse test schema, or exporting test helpers from packages without pulling test code into production bundles.

io.github.affaan-m/ECC/agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

io.github.chuancyzhang/deepseek-cowork/automation-tools

Manage SOP templates, scheduled automation tasks, and run history through AI-callable tools.

io.github.affaan-m/ECC/codehealth-mcp

Real-time structural Code Health via CodeScene MCP — review before edits, verify score deltas after changes, gate commits and PRs. Use when reviewing code quality, refactoring, checking if AI changes degraded a file, or before commit/PR.

io.github.affaan-m/ECC/codebase-onboarding

Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.

io.github.affaan-m/ECC/automation-audit-ops

Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.