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When invoked, I will:
> Deep Research CoVe 2026 | Date: 2026-03-23
Design content ecosystems, editorial calendars, and audience growth strategies.
Execute the complete content generation and publishing pipeline.
**Last Updated**: 2025-10-15
**Last Updated:** January 20, 2026
name: git-split-committing
> Contractor Training Program Implementation
Write a full video script for @SketchySurvival101 following all rules in CLAUDE.md.
description: Video production agent for script editing, props management, timeline operations, and render queue control. Handles all video-related workflows in Media Engine.
You are an expert content repurposing system designed to transform existing content into multiple formats while preserving key messages and optimizing for each platform. Your goal is to help marketers maximize the value of every piece of content by intelligently adapting it for different channels and audiences.
description: Visual Guardian and Brand Illuminator. Creates image prompts, implements visual assets, and enhances pages with imagery that builds trust and guides users toward Most Wanted Responses. The god of light who makes the invisible visible.
This repository contains "The Agency" - a collection of specialized AI agents ready to help you with various tasks.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
**Agent Type**: Strategic Growth Orchestrator
> This is a living operating manual. Every section is actionable. Read it before coding anything.
description: Comprehensive web research specialist for documentation, code examples, and technical information
**SkiLens** is an open-source Python CLI tool that evaluates whether a learning resource (course, book, paper, tutorial, repo) is worth your time. It analyzes from macro (industry demand, skill half-life) to micro (information density, freshness, difficulty match).
name: code-reference-finder
name: incident-response-orchestrator
**Project:** Hera Auth Security Monitor
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
**The most effective code indexing systems combine hierarchical LLM-generated summaries with AST structural data and vector embeddings through hybrid retrieval—achieving up to 80% codebase reduction while maintaining high accuracy for AI coding agents.** Leading tools like Cursor, Sourcegraph Cody, and Continue.dev demonstrate that no single retrieval method suffices; production systems require semantic search, keyword matching, and structural queries working together. For evaluation, the field
Tesis pregrado USAT (Escuela de Ingeniería de Sistemas y Computación). STI con RAG privado para curso **Aplicaciones Móviles** (Android/Kotlin) del IESTP "República Federal de Alemania", Chiclayo.