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agentydragon

Systematic binary reverse engineering toolkit. Extract source code, understand functions, document protocols, compare versions. Uses strings, symbols, disassembly, and differential verification.

zotoio

Guide for creating engineering plans through a structured workflow. Use when planning new features, coordinating multi-agent work, or breaking down complex initiatives.

wrsmith108

Engineering standards and code governance enforcement with parallel agent execution. Triggers during code reviews, commits, and standards discussions. 70-90% token savings via delegated execution.

majiayu000

Transform vague inputs into precision-optimized AI prompts for Claude, ChatGPT, Gemini, or other LLMs. Use when user mentions optimize prompt, improve prompt, lyra, prompt engineering, or needs help crafting effective AI prompts.

AlexandrSurkov

VS Code Copilot platform reference: .agent.md all frontmatter fields, built-in tool names, agent types, context engineering, subagents, handoffs, MCP config, SKILL.md integration, custom instructions. Load when working with custom agents, tool lists, context strategy, or any VS Code Copilot platform feature.

mrexodia

IDA Pro Python scripting for reverse engineering. Use when writing IDAPython scripts, analyzing binaries, working with IDAs API for disassembly, decompilation (Hex-Rays), type systems, cross-references, functions, segments, or any IDA database manipulation. Covers ida_* modules (50+), idautils iterators, and common patterns.

get-caio

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

CloudAI-X

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

nibzard

Analyze student git activity, lab submissions, and project work for software engineering courses. Use when asked to update student analysis, check student activity, analyze the class, or when working with student rosters and git repositories. Handles inconsistencies in student behavior like multiple usernames, name variations, and missing data.

hyperb1iss

Use this skill when building AI features, integrating LLMs, implementing RAG, working with embeddings, deploying ML models, or doing data science. Activates on mentions of OpenAI, Anthropic, Claude, GPT, LLM, RAG, embeddings, vector database, Pinecone, Qdrant, LangChain, LlamaIndex, DSPy, MLflow, fine-tuning, LoRA, QLoRA, model deployment, ML pipeline, feature engineering, or machine learning.

aizhimou

Analyze product/feature requirements for the PigeonPod project with software engineering rigor. Use when users ask to evaluate a requirements value, feasibility, architecture fit, implementation impact, risk, delivery scope, or tradeoffs. Always inspect current repository docs/code first (especially architecture and README files), then use MCP tools (including Context7) to verify external library/framework/API constraints before concluding.

ijindal1

Write, critique, and iterate prompts for OpenAI GPT-5 series models. Use for tasks like: (1) turning vague requirements into high-signal instructions, (2) selecting between quick vs deep reasoning behaviors, (3) creating robust structured-output prompts (JSON schemas, tool calls), (4) designing evaluation prompts and rubrics, and (5) debugging prompt failures (hallucinations, format drift, tool misuse). Trigger when the user mentions GPT-5, prompt engineering, system/developer messages, structured outputs, agent prompts, or wants best-practice templates.