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Cursor Delegate

cursor-delegate

sickn33/agentic-awesome-skills

Delegate bounded coding tasks to the Cursor Agent CLI, then review and land the diff. Orchestrator writes the brief, owns judgment, and verifies results.

Real-Time Multimodal AI Agent Orchestration

sickn33/agentic-awesome-skills

A framework for building production-ready, low-latency, multimodal AI agents. It allows developers to orchestrate complex pipelines that seamlessly handle real-time audio, video, and text data. Key capabilities include integrating multiple AI services (LLMs, STT, TTS), managing conversation context, and enabling tool use and function calling for advanced, interactive AI applications.

Automated Daily Tech Report

daily-news-report

sickn33/agentic-awesome-skills

This skill automates the collection of high-quality technical news from multiple sources like Hacker News and HuggingFace. It uses a multi-agent architecture to scrape, filter, and deduplicate content, generating a curated daily Markdown report. Ideal for staying updated on cutting-edge technology and AI developments without manual searching.

Data-Driven Feature Development

data-engineering-data-driven-feature

sickn33/agentic-awesome-skills

Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation. This skill provides a structured workflow from exploratory data analysis and hypothesis formation to feature implementation with integrated analytics, A/B testing infrastructure, and post-launch analysis.

Codebase Structural Memory Protocol

data-structure-protocol

sickn33/agentic-awesome-skills

A protocol that provides LLM agents with persistent structural memory of a codebase. It maps the project as a directed graph, tracking not only dependencies (what imports what) but also the 'reasons' (why it connects). This allows agents to understand context, perform impact analysis, and navigate large repositories without loading the entire source code into the context window.

Two Model Debate Code Review

sickn33/agentic-awesome-skills

This skill performs a two-model debate review on code pull requests from GitHub, GitLab, or Azure DevOps. It uses two AI agents to argue over code changes before posting a final inline comment. Ideal for thorough pre-merge reviews or local working tree checks. It requires delegate-skills and authenticated access to the version control platform.

Delegating to AI Agents

delegating-to-agents

sickn33/agentic-awesome-skills

Delegate bounded work to other AI agents while preserving context, file ownership, and progress checks. Covers agent selection, structured prompts, polling, remote VPS safety, and driving interactive CLIs.

Design-It UI Style Router

sickn33/agentic-awesome-skills

Design-It routes frontend design tasks to 48 specific UI styles, avoiding generic aesthetics. It triggers for websites, app screens, or UI components requesting a specific aesthetic. The skill guides AI agents to select appropriate color palettes, typography, and layout principles like the 60-30-10 rule. It supports various frameworks including React, Vue, and mobile platforms.

Design Orchestration Meta-Skill

design-orchestration

sickn33/agentic-awesome-skills

Orchestrates design workflows by routing work through brainstorming, multi-agent review, and execution readiness in the correct order. Ensures validated designs before implementation.

Developer Audience Context

developer-audience-context

sickn33/agentic-awesome-skills

Establishes and updates the foundational context for your target developer audience. Analyzes product materials, personas, pain points, and alternatives to create a comprehensive .agents/developer-audience-context.md file. Essential for starting other developer marketing skills to ensure consistent messaging and strategy.

Direct Prompt Injection Detection

direct-injection-detection

Tencent/AI-Infra-Guard

This skill involves testing AI agents for direct prompt injection vulnerabilities where user messages attempt to override system instructions. It focuses on role confusion and instruction hijacking without external content, ensuring agents maintain security boundaries against direct manipulation attempts.

Distributing Skills Across Multiple AI Agents

distribute-skill-to-all-agents

sickn33/agentic-awesome-skills

This guide details the comprehensive workflow for distributing a single AI skill across various local agent skill directories (Codex, Claude, Pi, Hermes). It addresses canonical locations, symlink management, and specific synchronization commands to ensure that all agents detect the latest skill version while correctly navigating common development pitfalls.

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