wechat-article-writer
Automated WeChat article writing workflow including web research, viral title generation, drafting, and professional layout optimization.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
443 skills found
Automated WeChat article writing workflow including web research, viral title generation, drafting, and professional layout optimization.
Autonomous recursive execution engine for indiiOS that manages task completion, state verification, and error handling.
Expert framework for designing agent-facing tools, optimizing tool descriptions, enforcing contract-based APIs, and implementing architectural reduction for reliable AI agent tool selection.
Architect and optimize production-grade RAG systems. Master embedding models, vector databases, chunking strategies, and retrieval pipelines for high-accuracy LLM applications.
Manage Obsidian vault operations: file creation, YAML frontmatter, wiki-links, and templated note processing for PKM systems.
A wise conductor of expert agents. It helps you achieve goals by summoning, orchestrating, and creating specialized AI experts. Features intellectual humility, multi-agent debate, and self-learning pattern capture.
An advanced research intelligence skill for content creators and marketers that analyzes trends across 10+ platforms to generate data-driven content outlines based on user intent.
Transforms complex information into structured study notes, summaries, and practice questions for effective learning and information retention.
Automates research resource preparation by loading instances, searching GitHub for codebases, building dataset descriptions, and downloading arXiv papers.
Rigorous research skill that enforces source verification via WebFetch and content analysis to prevent hallucinated citations.
A comprehensive Python library for querying, parsing, and analyzing SEC EDGAR filings, financial statements, and institutional holdings as structured data objects.
Convert diverse file formats like PDFs, Office docs, images, audio, and web content into clean Markdown, specifically optimized for LLM ingestion, RAG pipelines, and automated text analysis workflows.