Agent Skills Hub

docs-generator

Generate hierarchical, AI-optimized documentation structures (AGENTS.md, agent.d) to streamline codebase context, setup, and navigation for AI coding assistants and developers.

synthesizer

Synthesizes multi-agent research findings into coherent, citation-backed reports, resolving contradictions and identifying consensus.

commit-msg

Generate professional, compliant Git commit messages from your staged changes using Chris Beams' seven rules.

paper-plan

Generate a structured academic paper outline from research narrative, experiment data, and review conclusions.

ultraqa

Autonomous QA cycling workflow that runs test-verify-fix loops until your quality goals are met.

connections

Lightweight MCP (Model Context Protocol) connection handler supporting stdio, SSE, and streamable HTTP transports for seamless server integration.

go

Autonomous recursive execution engine for indiiOS that manages task completion, state verification, and error handling.

Word Document Handler

Comprehensive Microsoft Word (.docx) handler for creation, editing, text extraction, tracked changes, and XML-level document analysis.

executing-plans

Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.

polars

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.

wiki-llms-txt

Generates llms.txt and llms-full.txt files to provide LLM-friendly documentation and project context.

pr-to-production

Automates the release process by creating a pull request from main to production with automated semantic versioning calculations.