SKILL.md files package domain expertise into something any AI agent can use. Drop one into your project and your agent learns how to process PDFs, design interfaces, write tests, or whatever the skill teaches.
42 skills
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart.
Master software architect specializing in modern architecture
Build scalable data pipelines, modern data warehouses, and
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
🧠 NeuroLink The Enterprise AI SDK for Production Applications 13 Providers | 58+ MCP Tools | HITL Security | Redis Persistence Enterprise AI development platform with unified provider access, production-ready tooling, and an opinionated factory architecture. NeuroLink ships as both a TypeScript SDK and a professional CLI so teams can build, operate, and iterate on AI features quickly. NeuroLink i
When the user wants to create or update a README.md file for a project. Also use when the user says "write readme," "create readme," "document this project," "project documentation," or asks for help with README.md. This skill creates absurdly thorough documentation covering local setup, architecture, and deployment.
Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use for feature prioritization, user research synthesis, requirement documentation, and product strategy development.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
Production-ready automation for iOS app testing and building. 21 scripts optimized for both human developers and AI agents. This is basically a Skill version of my XCode MCP: https://github.com/conorluddy/xc-mcp MCPs load a lot of tokens into the context window when they're active, but also seem to work really well. Skills don't load in any context. I'll make a plugin next and try to find the bala
Master Django 5.x with async views, DRF, Celery, and Django
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
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Master Python 3.12+ with modern features, async programming,
View All 21 Categories - Our Mission - Path Towards AI Research Agent - Available AI Research Engineering Skills - Skill Structure - Repository Structure - Use Cases - Contributing - Community We provide the layer of Engineering Ability that enable your coding agent to write and conduct AI research experiments, including preparing datasets, executing training pipelines, deploying models, and build
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding context limits.
Archive session learnings, debugging solutions, and deployment logs to .archive/yyyy-mm-dd/ as indexed markdown with searchable tags. Use when completing a significant task, resolving a tricky bug, deploying, or when the user says \"archive this\". Maintains .archive/MEMORY.md index for cross-session knowledge reuse.
THE PROJECT HAS BEEN SPLIT AND MOVED TO INDIVIDUAL REPOSITORIES. - Google Kit: Tools for Gmail, Google Calendar, Google Chat - RAG Kit: Tools for RAG, Memory - Dev Kit: Tools for developers, jira, confluence, gitlab, github, ... - Fetch Kit: Tools for fetch, scrape, ... - Research Kit: Tools for research, academic, reasoning, ... A powerful Model Context Protocol (MCP) server implementation with i
RulesetMCP is a Model Context Protocol (MCP) server that gives AI agents a project-aware rulebook. Instead of explaining your coding standards, SQL conventions, or process guidelines every time you open a new AI session, you define them once in version-controlled files. RulesetMCP reads those files and exposes tools for listing, summarizing, and applying rules to specific tasks and snippets. Right
This project implements a sophisticated multi-agent research system based on the concepts described in Anthropic's article: Building a Multi-Agent Research System. The system leverages the power of coordinated AI agents to handle deep and complex research queries that require multiple perspectives and iterative investigation. The system is built around a Lead Research Agent that orchestrates the e
A content-addressable protocol for universal food data. One axiom. Three fields. Six base types. Every food industry operation. id = SHA-256(canonical(type + state + refs)) The food industry spans 14 sectors — farming, processing, distribution, retail, hospitality, regulation, sustainability, and more. Every sector models food data differently. There is no shared primitive. FoodBlock is that primi
Use when working with tdd workflows tdd refactor