Loading...
Loading...
Found 1,074 Skills
Self-improve AI Factory skills based on project context, accumulated patches, and codebase patterns. Analyzes what went wrong, what works, and enhances skills to prevent future issues. Use when you want to make AI smarter for your project.
Automate Brevo (Sendinblue) tasks via Rube MCP (Composio): manage email campaigns, create/edit templates, track senders, and monitor campaign performance. Always search tools first for current schemas.
SOUL 自演进技能 — 在不可变段保护下更新可演进人格/协作策略并支持回滚。
Set up Azure Pipelines for CI/CD, configure build and release pipelines, manage Azure DevOps projects, and integrate with Azure services. Use when working with Azure DevOps Services or Server for enterprise DevOps workflows.
Configures .NET CI/CD pipelines (GitHub Actions with setup-dotnet, NuGet cache, reusable workflows; Azure DevOps with DotNetCoreCLI, templates, multi-stage), containerization (multi-stage Dockerfiles, Compose, rootless), packaging (NuGet authoring, source generators, MSIX signing), release management (NBGV, SemVer, changelogs, GitHub Releases), and observability (OpenTelemetry, health checks, structured logging, PII). Spans 18 topic areas. Do not use for application-layer API or UI implementation patterns.
Implemente armazenamento persistente com Docker volumes, bind mounts e estratégias de backup
Verifica a Stack do Portainer. Além disso analisa parâmetros, rotas Traefik, volumes, recursos e conformidade do stack Portainer de Acordo com as Recomendações da Promovaweb.
Explicit child skill for extracting reusable improvements from real Ghidra work, resolving overlap, and promoting tracked assets when one task provides complete evidence.
Use when the user needs CI/CD pipelines, Docker configuration, Kubernetes deployment, infrastructure-as-code, monitoring, or zero-downtime deployment strategies. Triggers: user says "devops", "docker", "kubernetes", "CI/CD", "infrastructure", "monitoring", "deploy to production", "container", "terraform", "observability".
Evolution API integration for WhatsApp messaging, instance management, webhooks, and chatbot orchestration. Use when: (1) Creating or managing WhatsApp instances via Evolution API, (2) Sending messages (text, media, audio, lists, buttons, reactions), (3) Configuring webhooks or event listeners, (4) Managing groups or contacts, (5) Integrating with Typebot, Chatwoot, Dify, or OpenAI through Evolution API. Triggers on: evolution-api, evolution api, whatsapp api, baileys, whatsapp integration, send whatsapp, whatsapp webhook.
Provides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms. Use when building self-improving agents, optimizing agent prompts and skills against benchmarks, or implementing automated agent evaluation loops.
DevOps workflows for Playwright - CI failure analysis, workflow debugging, and release operations.