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浏览和安装 Killer-Skills 目录中的数千个 AI Agent 技能。支持 Claude Code、Windsurf、Cursor 等。

66 可用技能

idapython

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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.

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开发者工具

react-best-practices

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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.

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开发者工具

vercel-react-best-practices

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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.

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开发者工具

student-activity-analysis

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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.

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开发者工具

ai

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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.

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开发者工具

requirements-analysis

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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.

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开发者工具