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.
122 skills
Secure environment variable management ensuring secrets are never exposed in Claude sessions, terminals, logs, or git commits
AI-powered PPT generation with document analysis and styled images
Hard-edged writing style contract for timeless, forceful English prose without AI tics
One-off HLS encoding (local video -> HLS renditions + playlist) using Transloadit via the `transloadit` CLI. Prefer builtin templates (`builtin/encode-hls-video@latest`) and download outputs locally via `-o`.
Text-to-speech and speech-to-text using fal.ai audio models
AI-powered image editing with style transfer and object removal
Add Uppy Dashboard + Transloadit uploads to a Next.js (App Router) app, with server-side signature generation and optional /s3/store export.
Analyze Rails apps and provide upgrade assessments
Use when auditing a codebase for semantic duplication - functions that do the same thing but have different names or implementations. Especially useful for LLM-generated codebases where new functions are often created rather than reusing existing ones.
MemoryMesh is a knowledge graph server designed for AI models, with a focus on text-based RPGs and interactive storytelling. It helps AI maintain consistent, structured memory across conversations, enabling richer and more dynamic interactions. The project is based on the Knowledge Graph Memory Server from the MCP servers repository and retains its core functionality. v0.3.0 Update: The MCP SDK ha
gomcp is an MCP server written in It exposes tools to interact with Lightpanda Browser via CDP protocol. gomcp requires you to have already installed Lightpanda You need to install Go to build from source. Once you have cloned the repository, build the binary with go build. By default, gocmp starts a local instance of Lightpanda browser. On the first run, you need to download the binary with the c
Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.
An AI coding assistant built in Rust that provides both command-line and graphical interfaces for autonomous code analysis and modification. Multi-Modal Tool Execution: Adapts to different LLM capabilities with pluggable tool invocation modes - native function calling, XML-style tags, and triple-caret blocks - ensuring compatibility across various AI providers. Real-Time Streaming Interface: Advan
Opinionated, evolving constraints to guide agents when building interfaces
Start an OpenAI Codex CLI session for deep reasoning and code analysis
Upgrade Expo SDK versions
Comprehensive JavaScript reference covering 33+ essential concepts every developer should know. From fundamentals like primitives and closures to advanced patterns like async/await and functional programming. Use when explaining JS concepts, debugging JavaScript issues, or teaching JavaScript fundamentals.
Analyzes git commit history and generates structured changelogs categorized by change type. Use when the user asks about recent changes, wants a changelog, or needs to understand what changed in the repository.
Use this skill when implementing tasks according to Conductor's TDD
Build applications powered by GitHub Copilot using the Copilot SDK. Use when creating programmatic integrations with Copilot across Node.js/TypeScript, Python, Go, or .NET. Covers session management, custom tools, streaming, hooks, MCP servers, BYOK providers, session persistence, and custom agents. Requires GitHub Copilot CLI installed and a GitHub Copilot subscription (unless using BYOK).
-Speed read Claude's responses at 600+ WPM using RSVP with Spritz-style ORP highlighting
Windows 11 system management
Handle errors as values using fp-ts Either and TaskEither for cleaner, more predictable TypeScript code. Use when implementing error handling patterns with fp-ts.
Lab environment for Claude superpowers