auto-skill-generator
Research technical documentation and automatically generate ready-to-use software agent skills in markdown format.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
192 skills found
Research technical documentation and automatically generate ready-to-use software agent skills in markdown format.
High-performance document intelligence library for extracting text, tables, code, and metadata from 91+ file formats, with OCR and LLM-ready output.
Comprehensive citation management: search academic databases, extract metadata from DOIs/PMIDs/arXiv, validate references, and generate perfectly formatted BibTeX for scientific manuscripts.
Recover deleted GitHub repository content, issues, PRs, and files using Wayback Machine CDX API queries and web archive snapshots.
High-performance in-memory DataFrame library for Python and Rust. Features lazy evaluation, parallel execution, and an Apache Arrow backend for efficient ETL, data processing, and faster pandas alternatives.
Facilitate structured product discovery with Opportunity Solution Trees, assumption mapping, and hypothesis-driven experimentation to de-risk product development.
Architect production-grade LLM applications using LangChain 1.x and LangGraph. Implement stateful AI agents, multi-step workflows, and custom memory systems for complex conversational and automation tasks.
Discover and install agent skills to extend your DeerFlow capabilities. Use this to find tools, workflows, or specialized knowledge for tasks like coding, testing, and deployment.
Analyze search results (SERP) to classify user intent, identify feature opportunities, and conduct competitive intelligence for content strategy.
Search and analyze X (Twitter) trends, hashtags, and tweet data by location using custom CLI tools.
AI-powered documentation engine that automatically generates C4 architecture diagrams, technical specs, and codebase analysis from any source code directory.
Evidence-first literature collector for automated research pipelines. Scales paper pools to 1200+ with metadata normalization, provenance tracking, and multi-source ingestion.