277 boosters for "ast" — open source, verified from GitHub, ready to install
DevOps Automator is an expert agent that automates infrastructure, CI/CD pipelines, and cloud operations to help engineering teams reduce manual toil and ship faster. It's ideal for teams seeking to streamline deployments and improve system reliability.
Level Designer is a spatial storytelling specialist agent that guides developers through layout theory, pacing, encounter design, and environmental narrative to create cohesive game levels. Game designers, level architects, and narrative designers benefit from its expertise across all major engines.
Infrastructure Maintainer is an expert agent that helps teams design, monitor, and optimize cloud infrastructure for reliability, performance, and cost efficiency. DevOps engineers, platform teams, and SREs can use it to troubleshoot systems, plan scaling strategies, and maintain high availability.
Pipeline Analyst is a revenue operations agent that diagnoses pipeline health, analyzes deal velocity, and surfaces forecast risks through CRM data analysis. Sales leaders, RevOps professionals, and revenue teams use it to turn raw pipeline data into actionable intelligence that prevents missed quarters.
A LinkedIn content strategy agent that helps professionals build thought leadership and personal brands by creating high-engagement posts tailored to LinkedIn's algorithm. Ideal for founders, job seekers, developers, and anyone looking to attract inbound opportunities through strategic content.
Zhihu Strategist is an AI agent that helps marketers and brands build authority on Zhihu (知乎), China's largest knowledge-sharing platform, through expert question-answering and thought leadership strategies. It's ideal for companies and professionals targeting Chinese audiences who want to establish credibility through authentic expertise sharing.
A specialized marketing agent for Bilibili content creators seeking to optimize UP主 growth, master danmaku engagement, and build communities on China's leading video platform. Ideal for creators, brands, and marketing teams targeting Chinese Gen Z audiences.
Reddit Community Builder is an AI agent that helps marketers and community managers craft authentic, value-driven Reddit strategies while respecting platform culture and guidelines. It's useful for brands, startups, and creators seeking to build genuine engagement on Reddit without resorting to spam or self-promotion.
Cursor rules that provide AI coding agents with guidance for developing the Streamlit library itself (backend, frontend, protobufs), rather than building Streamlit applications.
Oh My Opencode is an AI agent harness that provides multi-model orchestration, parallel background agents, and advanced code analysis tools for Claude Desktop and Claude Code. It benefits developers building sophisticated AI-powered applications who need orchestrated agent coordination and deep code understanding capabilities.
"name": "@mastra/mcp-docs-server", "version": "1.1.25-alpha.4", "description": "MCP server for accessing Mastra.ai documentation, changelogs, and news.",
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 skill enables users to generate and edit images directly within Claude Code using the OpenAI Image API, supporting use cases from product mockups to concept art. Developers and designers benefit by automating image creation workflows without leaving their coding environment.
Playwright Interactive enables fast iterative UI debugging by keeping browser and Electron instances alive in a persistent js_repl session, allowing developers to test and refine UI interactions without repeated restarts.
Streamlines Cloudflare deployments by guiding users through Workers, Pages, and platform services with decision trees and authentication verification. Developers building on Cloudflare benefit from consolidated, quick-start deployment guidance.
Use when the user wants recent, cross-source evidence from the last 30 days. The runtime is a single v3 pipeline: 3. normalize and dedupe
Use this skill when the quality of the work depends on art direction, hierarchy, restraint, imagery, and motion rather than component count. Goal: ship interfaces that feel deliberate, premium, and current. Default toward award-level composition: one big idea, strong imagery, sparse copy, rigorous s
A performance optimization skill that identifies and fixes loading speed, rendering, animations, images, and bundle size issues to create faster, smoother user experiences. Developers building web applications benefit from automated performance diagnostics and improvements.
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,
Provides the Hugging Face Hub CLI (`hf`) tool for downloading, uploading, and managing models, datasets, and Spaces directly from Claude Code. Essential for developers integrating Hugging Face resources into AI workflows.
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
Run any workload on fully managed Hugging Face infrastructure. No local setup required—jobs run on cloud CPUs, GPUs, or TPUs and can persist results to the Hugging Face Hub. Use this skill when users want to: When assisting with jobs:
Fast, calibration-free weight quantization supporting 8/4/3/2/1-bit precision with multiple optimized backends. HQQ uses to define quantization parameters: The core quantized layer that replaces :
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.
