ctf-solver
An expert-level CTF solver agent that automates reconnaissance, vulnerability analysis, and exploit generation for web, pwn, crypto, reverse, and forensic challenges.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
149 skills found
An expert-level CTF solver agent that automates reconnaissance, vulnerability analysis, and exploit generation for web, pwn, crypto, reverse, and forensic challenges.
Automated tool and MCP server discovery for Claude Code. Searches 17+ registries to find relevant skills, plugins, and tools before planning or when errors occur.
Linear issue management and synchronization for LobeHub, featuring automated PR referencing, sub-issue tree decomposition, and status tracking.
An automated memory middleware for AI agents, implementing a Retrieve-Respond-Save loop to maintain long-term persistent context across conversations.
Guides agent memory system implementation, compares frameworks (Mem0, Zep, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention.
A testing skill designed to verify the functionality of the Skillet CLI by performing basic tasks and confirming completion.
Standardized skill for Claude Code agents to dynamically query OpenRouter model recommendations and metadata via the Claudish CLI.
Implement ReasoningBank adaptive learning with AgentDB's ultra-fast vector backend. Features trajectory tracking, verdict judgment, memory distillation, and pattern recognition for self-learning autonomous agents.
Manage isolated LlamaFarm development environments using git worktrees for parallel agent sessions and service testing.
Get deep, critical, NeurIPS/ICML-style peer reviews of your research, paper drafts, and experimental setups using external LLMs via Codex MCP.
Automated code review for STYLY-NetSync, enforcing protocol parity, thread safety, and Unity C#/Python conventions.
Fetch and analyze current trending programming models from OpenRouter. Ideal for selecting models for reviews, optimizing AI costs, and staying updated on AI coding trends with real-time pricing and context window data.