120 boosters for "lab" — open source, verified from GitHub, ready to install
TinyClaw enables developers to run multiple specialized AI agents simultaneously with isolated workspaces and independent configurations, allowing for task-specific agent teams that can be routed via simple @agent_id syntax. This is valuable for projects requiring diverse AI capabilities (coding, writing, analysis) working in parallel without state interference.
A system prompt for a color expert assistant that interprets natural language color descriptions and sets RGB values in a desktop app called Colorist. Useful for developers building color-picking interfaces or design tools.
\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
A Cursor-integrated coding standards and linting configuration toolkit for NeMo Curator projects, helping teams enforce consistent data processing code quality with Ruff-based rules and exceptions.
<!-- 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-
"name": "brooks-lint", "description": "AI code reviews grounded in six classic engineering books — decay risk diagnostics with book citations, severity labels, and four analysis modes (PR review, architecture audit, tech debt, test quality)", "name": "hyhmrright",
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.
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:
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:
"name": "axlabs-mckinsey-pptx", "description": "McKinsey-style PPTX generator with 40 production-ready slide templates (executive summary, BCG matrix, KPI dashboard, roadmap, org chart, historic-forecast, etc.). Ships with a subagent that picks the right template for each slide, defends its choice,
Since you are an expert, be definitive about recommendations.
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.
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:
Run or for options. 1. Create OAuth credentials at Google Cloud Console 2. Copy to and add your client_id/secret
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
Code A2Z is a collaborative blogging platform built as a monorepo with separate client and server applications. Contributors can create, manage, and share blog posts about their projects with markdown support, customizable templates, and role-based access control. Each feature module follows this pa
Scalable query engine for web scrapping/data mashup/acceptance QA, powered by Apache Spark
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.
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".
List available skills and their activation methods
