Agent Skills Hub

prompt-estruturado

A structured prompting framework to transform casual inputs into professional, modular LLM prompts with persona, context, task, format, and guardrails.

financial-analyzing

Analyze financial data, calculate key performance metrics like margins and ROI, and generate structured analytical reports.

proto-persona

Create a hypothesis-based proto-persona using research, market signals, and team insights to align product teams before full validation.

linkedin-authority-builder

Build a professional LinkedIn content system to establish authority, attract inbound leads, and maintain a consistent personal brand through strategic positioning, content pillars, and optimized posting rhythms.

prompt-engineering-patterns

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.

web-search-free

Free AI-powered web search via Exa MCP. Includes deep research, company/people lookup, and code context without API keys.

static-site-generation

A framework for managing static site generator (SSG) projects using Astro, including build optimization, GitHub Pages deployment patterns, and type-safe content collection schemas.

maestro

Intelligent RAG-based gateway that routes coding tasks to specialized Swift/iOS expertise without context window bloat. Uses MCP to retrieve precise patterns from 100+ indexed skills.

generate-image

Generate or edit images using AI models like FLUX and Gemini. Ideal for photos, illustrations, concept art, and visual assets, excluding technical diagrams and schematics.

brainwriting

Structured parallel brainstorming agent for ideation and conceptual expansion. Uses multi-agent perspectives to evolve vague ideas into practical, actionable visions. Ideation only, not for task planning.

llmfit-advisor

Analyze local system hardware (RAM, CPU, GPU/VRAM) to receive expert recommendations for optimized local LLM models, quantization settings, and performance estimates.

Extract structured data from unstructured files (PDF, PPTX, DOCX...)

Implement LlamaExtract for robust structured data extraction from PDF, DOCX, and PPTX files using Pydantic schemas.