106 boosters for "lab" — open source, verified from GitHub, ready to install
<!-- Canonical source: AGENTS.md — keep this file in sync --> stream-json is a micro-library of Node.js stream components for creating custom JSON processing pipelines with a minimal memory footprint. It can parse JSON files far exceeding available memory streaming individual primitives using a SAX-
Investigator Agents is an educational resource teaching AI agent design patterns through interactive Jupyter notebooks with exercises and solutions. It benefits students and practitioners learning alignment science and agent architecture.
Automates the discovery, fixing, and PR management of GitHub issues by spawning sub-agents to implement solutions and handle code reviews. Developers working on active repositories benefit from reduced manual triage and implementation overhead.
An orchestrator booster that automatically fetches GitHub issues, spawns AI sub-agents to implement fixes, opens pull requests, and manages review feedback. Ideal for teams looking to automate bug triage and fix workflows.
Switch between Docker and Kubernetes backends for Kurtosis. After switching, restart the engine: When using Kubernetes:
LLM-first SEO analysis skill with 16 specialized sub-skills, 10 specialist agents, and 33 scripts for website, blog, and GitHub repository optimization. For prompt reliability in Codex/agent IDEs, map common user wording to a fixed workflow: When the user requests SEO analysis, follow this routing:
LC-StudyLab provides Cursor IDE rules and documentation links for LangChain v1.0, enabling developers to quickly reference core components and advanced features while coding with LangChain's full ecosystem.
"name": "finlab-plugin", "description": "FinLab quantitative trading skills for Taiwan stock market (台股) - includes strategy development, backtesting, data analysis, and factor research", "name": "FinLab Community"
Read and follow all instructions in CLAUDE.md in this repository's root.
Run or for options. 1. Create OAuth credentials at Google Cloud Console 2. Copy to and add your client_id/secret
This skill provides comprehensive guidance for all aspects of Playwright test development, from writing new tests to debugging and maintaining existing test suites. Consult these references based on what you're doing:
Coordinate heterogeneous AI teams: one creates, two review from different angles. Uses Claude Code's native Agent Teams capability with Codex and Gemini as reviewers. Different AI models have fundamentally different review tendencies. They don't just find different bugs — they look at completely dif
Scalable query engine for web scrapping/data mashup/acceptance QA, powered by Apache Spark
A Google Calendar CLI tool that enables AI assistants to view, create, manage, and check availability across multiple calendar accounts. Useful for developers and AI applications that need programmatic calendar integration.
List available skills and their activation methods
Analyze, review, and provide recommendations for distributed system designs. Use when: (1) Reviewing existing system architectures for gaps or improvements, (2) Analyzing system designs for scalability, reliability, or performance issues, (3) Providing recommendations on load balancing, caching, databases, sharding, replication, messaging, rate limiting, authentication, resilience, or monitoring, (4) Assessing trade-offs in system design decisions, (5) Creating system design review documents with gaps and recommendations. Triggers: "review my system design", "analyze this architecture", "what are the gaps", "system design recommendations", "scalability review", "reliability analysis".
Automates GitHub issue creation and management by inferring type, labels, and milestones from conversation context, saving developers time on routine issue tracking tasks.
Automates GitHub issue triage and fixing by fetching issues, spawning AI sub-agents to implement solutions, opening PRs, and handling review feedback—ideal for maintainers and teams managing high-volume bug backlogs.
An MCP Server that integrates Alibaba Cloud DevOps API capabilities into AI assistants, enabling automated participation in development workflows and team collaboration optimization. Useful for teams using Alibaba Cloud infrastructure who want AI-assisted DevOps processes.
当用户对已有老板 Skill 说以下内容时，进入进化模式： 当用户说 时，展示预置老板列表供选择： 当用户在任何模式下说 草、卧槽、我靠、怎么怼、教我反击 时，进入反击模式。
"name": "matlab-skills", "description": "A collection of agent skills for MATLAB development, including Live Script generation, unit test creation and execution, performance optimization, HTML/JavaScript app building, and digital filter design.", "name": "The MathWorks, Inc.",
"description": "Behavioral programming framework for Claude collaboration", "url": "https://axivo.com" "name": "brainstorming",
"name": "ai-software-architect", "description": "AI-powered architecture documentation framework with ADRs, reviews, and pragmatic mode", "name": "AI Software Architect Project"
This MCP server enables Claude to execute MATLAB code and generate scripts directly through the MCP protocol, bridging AI assistance with scientific computing workflows. Engineers, researchers, and data scientists using MATLAB can leverage Claude's capabilities for code generation, debugging, and analysis.
