parxy
A unified document processing gateway for PDF parsing, text extraction, conversion, and document manipulation across multiple local and cloud providers.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
387 skills found
A unified document processing gateway for PDF parsing, text extraction, conversion, and document manipulation across multiple local and cloud providers.
Connect to the Notion API to create, manage, and query pages, databases, and blocks for your AI-powered knowledge management.
Deep inquiry framework using Socratic questioning to examine beliefs, uncover hidden assumptions, test evidence, and reach nuanced understanding without lecturing.
Automated quality assurance system that validates markdown deliverables against defined checklists for PB-000 market research workflows.
Validates and coordinates batch study guide operations, preventing errors by enforcing template compatibility, file availability, and source-only policies before agent execution.
Automated GitHub issue analysis, triage, and resolution planning tool integrated with Specification Driven Development (SDD) workflows.
Ziwei Doushu charting and layered interpretation engine. Analyzes natal, yearly, monthly, and daily horoscopes using structured data, offering systematic, evidence-based astrological insights.
Analyze financial data, calculate key performance metrics like margins and ROI, and generate structured analytical reports.
A runtime skill discovery engine for AI agents. Search and retrieve specialized agent skills (SKILL.md) on-demand via REST API or MCP to inject procedural knowledge into your agent's context.
Advanced web search, content extraction, and site crawling capabilities using the Tavily API, optimized for AI agent research and data gathering.
Analyzes Claude Code chat history to identify coding patterns and skill gaps, curates personalized learning resources from HackerNews, and sends progress reports to Slack.
Epistemic safety analysis for JSON data in prompts to prevent LLM hallucinations and reasoning errors when handling incomplete or large-scale datasets.