guard
Epistemic safety analysis for JSON data in prompts to prevent LLM hallucinations and reasoning errors when handling incomplete or large-scale datasets.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
472 skills found
Epistemic safety analysis for JSON data in prompts to prevent LLM hallucinations and reasoning errors when handling incomplete or large-scale datasets.
Cross-platform content repurposing agent. Adapts a single source for Xiaohongshu, Zhihu, WeChat Official Accounts, and Douyin scripts with platform-native formatting, tone, and constraints.
Get deep, critical, NeurIPS/ICML-style peer reviews of your research, paper drafts, and experimental setups using external LLMs via Codex MCP.
Automate video editing by using Whisper to transcribe and AI to identify filler words, pauses, and mistakes, then generating optimized FFmpeg commands for clean, professional cuts.
Build AI agents with tool calling and multi-step reasoning. Generate, manage, and orchestrate custom skill files for Claude Code, Cursor, Cline, and other AI assistants to standardize your development workflows.
A macOS UI automation CLI that enables agents to capture screens, target UI elements, manage applications, and execute cross-app workflows with JSON-based scripting.
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.
AI-assisted version control for code agents. Track prompts, context, and diffs automatically with MemoV to ensure full traceability without polluting your git history.
High-quality Feishu/Lark Docx writing via OpenClaw. Convert Markdown into well-formatted Feishu Docx with support for headings, lists, nesting, and code blocks using feishu_docx_write_markdown.
Outputs knowledge logs capturing project structure, implicit rules, and logic gaps during sessions.
Crawl websites to extract content as clean markdown files. Ideal for documentation, research, and offline knowledge management.
Maintain and update the MassGen model registry, including backend capabilities, model metadata, pricing structures, and context window configurations for new and existing AI models.