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2.582 skills encontradas
Microsoft 365 Users
Use this skill when working with Microsoft 365 users - listing, searching, creating, disabling, or checking user properties. Covers account status, MFA enrollment, license assignment, group membership, and manager hierarchy. Essential for MSP technicians handling M365 user administration.
Microsoft 365 Security
Use this skill for Microsoft 365 security posture checks - MFA enrollment status, conditional access policies, risky sign-ins, suspicious inbox rules, compromised account indicators, and security audit tasks. Critical for MSPs performing security reviews or investigating suspected account compromises.
worktrunk
Use this skill when the user asks about Worktrunk (wt), git worktree management, running parallel AI agents with worktrees, setting up wt hooks, configuring wt.toml, using `wt switch`, `wt list`, `wt merge`, `wt remove`, `wt step`, LLM commit messages, or integrating Worktrunk with your AI agent. Also trigger when the user wants to run multiple AI agent sessions in parallel across isolated git bra
KnowBe4 Training
Use this skill when working with KnowBe4 training campaigns - creating and managing training assignments, tracking enrollment and completion, browsing training modules and content library, managing store purchases, and monitoring compliance deadlines. Covers training campaign lifecycle, enrollment workflows, completion tracking, and content management for security awareness programs.
karpathy-guidelines
Diretrizes comportamentais para reduzir erros comuns de codificação de LLMs. Use ao escrever, revisar ou refatorar código para evitar complicação excessiva, fazer mudanças cirúrgicas, expor suposições e definir critérios de sucesso verificáveis.
oracle-grillme
Socratic interrogation of plans against the project's domain model and documented decisions. Use when the user wants to stress-test a plan, clarify terminology, or validate assumptions against existing domain language. Updates CONTEXT.md and ADRs inline as decisions crystallise.
mcp-builder
Guia para criar servidores MCP (Model Context Protocol) de alta qualidade que permitem que LLMs interajam com serviços externos através de ferramentas bem projetadas. Use ao construir servidores MCP para integrar APIs ou serviços externos, seja em Python (FastMCP) ou Node/TypeScript (MCP SDK).
ppt-translator
Translate PowerPoint presentations while preserving formatting (fonts, colors, alignment, tables). Supports multiple LLM providers (OpenAI, Anthropic, DeepSeek, Grok, Gemini). Use when translating .pptx files between languages, especially for CJK to/from English translations where text expansion/contraction is a concern.
vf-rtl
Use this skill to start or resume the VeriFlow RTL hardware design pipeline (architect to synth). Trigger this when the user asks to "run the RTL flow", "design hardware", or "start the pipeline". Pass the project directory path as the argument. Optional: append `--benchmark` to auto-generate a benchmark report after the pipeline completes.
enrichment-waterfall
Build multi-vendor data enrichment waterfalls in n8n — cascading API calls across SerpAPI, Hunter.io, Apollo, Clearbit, LLM extractors, and scrapers with cost-aware fallbacks. Use this skill whenever the user wants to enrich leads, contacts, companies, or any entity with external data in n8n — phrases like "lead enrichment", "email finder", "data waterfall", "Clay alternative", "find LinkedIn prof
workflow-architect
Design production-grade n8n workflows from requirements. Use this skill whenever the user wants to build, design, architect, or plan an n8n workflow or automation — including phrases like "build me a workflow", "design an automation", "create an n8n flow", "how should I structure this in n8n", or any request involving connecting services (webhooks, APIs, databases, LLMs, email, WhatsApp, Stripe, G
text-optimizer
Optimizes text, prompts, and documentation for LLM token efficiency. Applies 41 research-backed rules across 6 categories: Claude behavior, token efficiency, structure, reference integrity, perception, and LLM comprehension. Use when optimizing prompts, reducing tokens, compressing verbose docs, or improving LLM instruction quality.