153 boosters for "rl" — open source, verified from GitHub, ready to install
"name": "everything-claude-code", "version": "1.10.0", "description": "Battle-tested Claude Code plugin for engineering teams — 38 agents, 156 skills, 72 legacy command shims, production-ready hooks, and selective install workflows evolved through continuous real-world use",
Carousel Growth Engine autonomously transforms any website into viral TikTok and Instagram carousels, analyzing content, generating images via Gemini, publishing directly to feeds, and optimizing through analytics feedback. Ideal for social media managers, content creators, and marketing teams seeking to automate carousel production at scale.
This file defines the structure and formatting requirements for creating Medusa tutorials in the directory. All tutorials must follow this structure to ensure consistency and quality. Every tutorial must start with YAML frontmatter containing: After frontmatter, include necessary imports:
Upstash QStash expert booster enables developers to build serverless message queues, scheduled jobs, and reliable HTTP-based task delivery without infrastructure management. Ideal for AI coding assistants helping teams implement async processing, cron jobs, and webhook systems.
This booster integrates Figma's MCP server into Claude Code to automatically fetch design context, screenshots, and variables, then translate Figma designs into production code. Developers working on design-to-code workflows benefit significantly from automated design asset retrieval and code generation.
Automates translation of Figma designs into production-ready code with pixel-perfect visual accuracy using the Figma MCP workflow. Ideal for developers and designers who need to implement designs quickly while maintaining design fidelity.
Create a real CLI that future Codex threads can run by command name from any working directory. This skill is for durable tools, not one-off scripts. If a short script in the current repo solves the task, write the script there instead. Name the target tool, its source, and the first real jobs it sh
Debugs and fixes failing GitHub Actions PR checks by inspecting logs and proposing solutions with explicit approval gates. Developers using GitHub Actions in CI/CD pipelines benefit from faster troubleshooting and fixes.
Enables AI assistants to programmatically create and edit PowerPoint presentations using PptxGenJS with layout helpers and validation utilities. Developers and content creators benefit from automating slide deck generation, modification, and troubleshooting.
A design refinement skill that tones down overly bold or aggressive visual elements while preserving design impact, useful for designers and developers seeking more subtle, approachable aesthetics.
This file explains the Knowledge Base feature and how it's implemented. The knowledge base helps users store and manage information that can be used to help draft responses to emails. It acts as a personal database of information that can be referenced when composing replies. Users can create, edit,
Use this skill to execute read-only Dataset Viewer API calls for dataset exploration and extraction. 1. Optionally validate dataset availability with . 2. Resolve + with .
Train language models using TRL (Transformer Reinforcement Learning) on fully managed Hugging Face infrastructure. No local GPU setup required—models train on cloud GPUs and results are automatically saved to the Hugging Face Hub. Use this skill when users want to: Use Unsloth () instead of standard
You are an expert at using the TRL (Transformers Reinforcement Learning) library to train and fine-tune large language models. TRL provides CLI commands for post-training foundation models using state-of-the-art techniques: TRL is built on top of Hugging Face Transformers and Accelerate, providing s
Hugging Face Paper pages (hf.co/papers) is a platform built on top of arXiv (arxiv.org), specifically for research papers in the field of artificial intelligence (AI) and computer science. Hugging Face users can submit their paper at hf.co/papers/submit, which features it on the Daily Papers feed (h
A skill for fine-tuning and training language models on Hugging Face's cloud GPU infrastructure using TRL, supporting SFT, DPO, GRPO methods and GGUF conversion for local deployment. Developers and ML engineers working with cloud-based model training benefit from this comprehensive guidance.
A skill for querying and exploring Hugging Face datasets through the Dataset Viewer API, enabling developers to fetch metadata, paginate rows, search, filter, and download parquet files. Useful for data scientists and engineers working with public datasets in their AI/ML workflows.
1. Fetch homepage HTML (curl or WebFetch) 2. Detect business type (SaaS, Local, E-commerce, Publisher, Agency, Other) 3. Extract key pages from sitemap.xml or internal links (up to 50 pages)
ByteRover CLI () - Interactive REPL with React/Ink TUI oclif v4, TypeScript (ES2022, Node16 modules, strict), React/Ink (TUI), Zustand, axios, socket.io, Mocha + Chai + Sinon + Nock
❶ One is a new React framework - target web and native with a single Vite plugin and fully shared code, so you can ship cross-platform nearly as easy as single-platform.
This wiki is maintained entirely by your coding agent. No API key or Python scripts needed — just open this repo in Codex, OpenCode, or any agent that reads this file, and talk to it. Describe what you want in plain English: Or use shorthand triggers:
.env files built for sharing powered by @env-spec decorator comments
\nWhen tackling complex reasoning tasks, you have access to the following actions. Use them as needed to progress through your thought process.\n\n[ASSESS]\n\n[ADVANCE]\n\n[VERIFY]\n\n[SIMPLIFY]\n\n[SYNTHESIZE]\n\n[PIVOT]\n\n[OUTPUT]\n\nYou should strictly follow the format below:\n\n[ACTION NAME]\n
Headless component library providing accessible, unstyled React primitives for building custom UI components with full control over styling and behavior.
