AI-agent skill producing reusable Markdown from PDFs. It turns flowcharts, diagrams, and charts into text beside each caption instead of empty links. It checks an earlier conversion against the PDF and fixes misread or missing parts. Long PDFs run in small saved batches with an independent review pass, each paragraph tagged with its page.
🧑🎨 A collection of agentic skills that works
The open-source company brain. Run your entire company with AI agents, skills, and a self-improving context.
AI-powered resume & cover letter generator with dual ATS + HR scoring. Works for any profession. Claude Code plugin.
900+ pure-markdown skills for autonomous AI research, organized as 9 freely-composable packages over a 4-layer hierarchy (Campaign → Strategy → Tactic → SOP). Non-linear orchestration with backtracking, 6 MCP integrations. The AI is the researcher — you set the direction.
LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.
The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
Transform YouTube videos into a compounding knowledge base with transcripts, vision analysis, and agentic search. Works as an MCP server for Claude, Copilot & more.
Subject-aware minimal-zine image production for Agent Skills: art direction, generation, series, evidence, and real-bitmap QA.
Turn slide screenshots and generated images into editable PowerPoint decks with visual-layer splitting, OCR evidence, and QA.
AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,115+ agentic skills. Includes CLI, local MCP, catalog, plugins, and Workbench.
Living project docs for coding agents: keep guides, progress logs, change maps, and handoff context updated as your repo evolves.
Learn Anything is an AI-powered recursive learning system — Socratic deep-dives and TDD-style exercises integrated directly into your coding assistant.
Co-creation infrastructure for humans and code agents — visual environment, skills, continuous learning, and distribution.
Every past session, subagent, and workflow -- queryable by your agent, browsable by you
A set of skills and MCP connector to allow agents to build Vapi AI agents, from creating tools and assistants to a phone call
🌶️ A product-thinking layer for vibe coders — grills a raw idea into build-ready docs through 11 expert personas. Claude Code plugin.
A JupyterLab extension supporting Claude Code, Copilot, Ollama, and OpenAI-compatible LLMs, with MCP, skills, plugins, and notebook agents.
Research-first design skill for AI agents. 150K+ real app screens and flows via Refero MCP.
SEO foundation checks as an Agent Skill: give it a URL, get a crawler's-eye pass/fail report with evidence. 26 structural checks, zero LLM, deterministic.
Batch-download reference PDFs from a DOI or paper PDF using Crossref and your institutional Edge session.
Your durable workspace across AI agents.
Practical, portable skills for agentic coding workflows — clearer diagrams, checked claims, safer GitHub releases, natural EN↔KO writing.
11 installable editorial systems for AI agents, based on leading public style guides.