186 boosters for "analysis" — open source, verified from GitHub, ready to install
"name": "korean-law-mcp", "description": "국가법령정보센터 API 기반 MCP 서버 - 한국 법령 조회·비교 도구", "main": "build/index.js",
"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",
A structured debugging methodology that guides developers through systematic root-cause analysis before implementing fixes, compatible with Claude Code and Cursor. Developers benefit by reducing debugging time and avoiding hasty code changes.
"name": "claude-video-vision", "description": "Give Claude the ability to watch and understand videos — extracts frames and audio for full video perception", "name": "Jordan Vasconcelos",
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:
You are a trading strategy hypothesis ideation engine. Produce 1-5 falsifiable hypothesis cards from structured evidence.
"name": "iothackbot", "description": "IoT security testing toolkit with skills for firmware analysis, network reconnaissance, UEFI security, and device exploitation", "name": "BrownFineSecurity"
Matchms enables mass spectrometry data processing and spectral analysis for metabolomics research, supporting multiple file formats and similarity calculations. Researchers and bioinformaticians working with MS data benefit from standardized workflows and compound identification.
A comprehensive guide to using CCXT in Python projects for cryptocurrency exchange integration. Both REST and WebSocket APIs are included in the same package.
This skill provides a philosophical framework and analytical methods for evaluating whether end users can "know" what value they can achieve through a product. It guides analysis from a value discovery perspective, rather than providing checklists. End users adopt products when they know what value
A unified skill for four interaction modes with a curated knowledge base (726 concept cards + 1282 case cards) distilled from 300+ ICT/SMC/ChanLun(缠论) trading videos and live lessons across 12 curated source collections. Any user message that mentions an asset + timeframe — even without the word "现在
An X-ray Diffraction analysis skill that enables automated crystal structure identification, phase analysis, and crystallite size determination for nanomaterials research. Ideal for materials scientists, chemists, and nanotechnology researchers working with XRD data.
"name": "claude-equity-research-marketplace", "name": "quant-sentiment-ai", "email": "quant.sentiment.ai@gmail.com"
"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"
Analyze various aspects of aired TV series, including series information retrieval, scene-by-scene analysis, story five elements analysis, web search, and result integration. 1. Series Information Retrieval: Obtain series basic information (such as director, actors, ratings, episode plots, etc.). 2.
Use this skill as a global-installable, project-level rebuttal workspace assistant. The installed skill provides reusable procedures and assets; each actual paper/rebuttal workspace gets its own state folder for memory, snapshots, template state, and logs. Start by understanding the workspace, then
A specialized diagnostic tool for data engineers to systematically investigate Airflow DAG failures, identify root causes, and implement prevention strategies. Ideal for complex pipeline debugging scenarios requiring deep analysis beyond basic log inspection.
pycse is a Python library that assists with scientific computing tasks including nonlinear regression, uncertainty quantification, design of experiments, and neural network-based modeling. It's useful for researchers, engineers, and data scientists working on numerical optimization, experimental design, and uncertainty analysis.
remains the internal skill id for routing and installation. Use this as the single entry point for the AK Threads workflow. This skill is for creators who want to pick stronger topics, write posts with clearer upside, and improve over time using their own Threads history.
"version": "0.4.33", "description": "Scientific research agent extension - turns research goals into reproducible Jupyter notebooks with Python REPL, data analysis, and ML workflows", "name": "Yeachan Heo",
Quick Codebase Analysis is a fast alias for Gemini codebase analysis that lets developers analyze directories with optional scope filters (e.g., `/c ./src security`). It's useful for developers who need rapid codebase insights without full context overhead.
Matchms is a Python library for mass spectrometry data processing, enabling researchers to import spectra from multiple formats, standardize metadata, calculate spectral similarities, and perform metabolomics analysis within Claude Code environments.
Analyzes ANY input to find, improve, or create the right skill. Start with least privilege (, , , , ). Only add higher-risk tools when explicitly required:
Use this skill as a final completion ritual after a real piece of work is finished. This skill is for the last step of a substantial task, not for ordinary chat. It should feel like a Civilization technology or wonder completion line: brief, ceremonial, and anchored by a real quote with an author an