entry-point-analyzer
Map the attack surface of smart contract codebases by identifying and categorizing state-changing entry points.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
454 skills found
Map the attack surface of smart contract codebases by identifying and categorizing state-changing entry points.
Streamline your codebase by automatically removing redundant or obvious comments while preserving essential architectural and logic-focused documentation.
Build production-grade RAG systems using vector databases, semantic search, and LangGraph to ground LLMs in external knowledge.
Master professional state management in React Native using Redux Toolkit, Zustand, and TanStack Query, including data persistence with AsyncStorage.
GitHub operations via gh CLI. Use for repository inspection, issues, PRs, releases, and deep codebase analysis including cloning for architectural insights.
Perform deep security analysis on codebases using CodeQL for interprocedural data flow, taint tracking, and automated vulnerability detection across multiple languages.
Expert SwiftUI development assistant: refactor code, improve performance, and diagnose app hitches or CPU issues using Xcode Instruments trace analysis.
Research technical documentation and automatically generate ready-to-use software agent skills in markdown format.
Implement an AI agent delegation architecture to keep your main context clean, reduce token costs, and isolate specialized infrastructure or API tasks.
AI-optimized artifact tracking system for token-efficient project orchestration, phase management, and automated task delegation using YAML-Markdown hybrid formats.
Meta-skill for structured, multi-depth codebase exploration including architectural analysis, fast structural overviews, and deep-dive documentation workflows.
An autonomous AI-powered task management system with Kanban boards, git worktree isolation, and pluggable executors like Claude Code, Gemini, and OpenAI Codex.