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Rules Files
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Avoiding Common AI Coding Pitfalls
cursor-known-pitfalls
jeremylongshore/claude-code-plugins-plus-skills
471
A comprehensive guide to avoiding common pitfalls when using AI-powered IDEs like Cursor. It covers best practices for AI interaction, secure coding habits (handling secrets, credentials), project configuration (rules, ignore files), and performance optimization. Essential for maintaining high code quality and security in AI-assisted workflows.
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Seatbelt Sandbox Generator
seatbelt-sandboxer
trailofbits/skills
127
Generates minimal macOS Seatbelt sandbox profiles with allowlist-based resource rules so apps can be isolated by permissions, useful for restricting file, network, and IPC access when defending against high-risk execution or supply chain threats.
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Threat Hunting with YARA Rules
performing-threat-hunting-with-yara-rules
mukul975/Anthropic-Cybersecurity-Skills
280
A comprehensive guide and workflow demonstrating how to use YARA rules for proactive threat hunting. This method helps detect unknown malware, suspicious patterns, and Indicators of Compromise (IOCs) across filesystems, memory dumps, and network artifacts, making it essential for incident response and security analysis.
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Context Engineering for Agents
context-engineering
addyosmani/agent-skills
339
Optimizes AI agent context setup by curating rules files, specs, source files, and error output, improving output quality and session handoffs across coding tasks.
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Agent Creator: Spec-Compliant Agent Files
agent-creator
jeremylongshore/claude-code-plugins-plus-skills
61
This tool generates production-grade, spec-compliant agent definition files (.md) adhering to the Anthropic 2026 schema. It supports both the creation of new custom subagents and the validation of existing agent files against marketplace compliance rules. Use it when building complex agent architectures, reviewing agent quality, or ensuring agents meet high industry standards.
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Agent Memory Discipline Rules
agent-memory-discipline
sickn33/agentic-awesome-skills
318
This skill defines strict rules for AI agents to manage long-term memory effectively. It specifies when to recall past decisions before acting and when to save new decisions, corrections, or failures. It ensures consistency across sessions, prevents loss of context, and works with any memory backend like local files or MCP servers.
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AI Native Instruction Converter
ai-md
sickn33/agentic-awesome-skills
284
This skill converts human-written CLAUDE.md files into AI-native structured-label formats. It proposes and evaluates rewrites while preserving rule meaning, ensuring benefits are evidenced. Ideal for optimizing LLM system prompts, reducing token usage, and migrating rules across different AI tools like Claude, Codex, and Gemini.
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1
Language
简体中文
English