Discover Data & AI skills, compare source repositories and read the instructions for each workflow.
Best practices for writing high-quality Python code. Use when writing, reviewing, or refactoring Python code. Covers strict typing, idiomatic patterns, performance, testing, and modern Python 3.14+ features. Ap...
Use when user wants to structure or organize knowledge on a topic. Triggered when intention involves creating overview, index, or knowledge map. Creates or updates Map of Content in 05_MOC.
Use when user wants to find past records or notes on a topic. Triggered when intention involves remembering, locating, or querying knowledge. Searches vault by content, tags, and frontmatter.
A clear description of what this skill does and when to use it. Include specific trigger keywords and task types that should activate this skill. Be specific about capabilities so the AI can decide when to load...
Generate Privacy Policy, Terms of Service, and Cookie Policy pages. Use when setting up legal pages for a new project, when asked to "create privacy policy", "add terms of service", "generate legal pages", or w...
Main orchestration workflow for systematic literature research - search, evaluate, traverse, synthesize
Check if medicinal chemistry papers are in ChEMBL database to access curated bioactivity data
Introduction to literature search & review skills - systematic paper finding, screening, extraction, and citation traversal
Smart backward and forward citation following via Semantic Scholar, with relevance filtering and deduplication
Use parallel subagents for large-scale paper screening and deep dive analysis
Use Unpaywall API to find free full-text versions of paywalled papers
Two-stage paper screening - abstract scoring then deep dive for specific data extraction
PubMed search with keyword optimization, result parsing, and metadata extraction
Use when user wants to find recipes or resize recipe portions - provides systematic workflow for searching recipes, scaling ingredients by serving size, handling fractional amounts, and formatting output
Use when user needs to create grocery list from recipes - consolidates ingredients across recipes, checks pantry inventory, converts to purchasable quantities, and provides automation options for Costco/Instaca...
Build UI components and pages following the runi design system. Use this skill when creating React components for runi—the HTTP client that catches spec drift, verifies AI-generated code, and reveals cross-API...
AI 에이전트와 협업하는 에이전틱 개발의 범용 원칙. 분해정복, 컨텍스트 관리, 추상화 수준 선택, 자동화 철학을 정의. 모든 AI 코딩 도구에 적용 가능.
Entry point skill - introduces available Life OS skills, provides command reference, and guides users through the system
AI 에이전트 협업 개발의 핵심 원칙. 분해정복, 컨텍스트 관리, 추상화 수준 선택, 자동화 철학, 검증 회고를 정의. 모든 AI 에이전트 사용 시 최적의 협업 패턴 적용.
LLM 정확도 향상을 위한 프롬프트 반복 기법. 70개 벤치마크 중 67%(47/70)에서 유의미한 성능 향상 달성. 경량 모델(haiku, flash, mini)에서 자동 적용.
Bayesian statistical modeling with PyMC v5+. Use when building probabilistic models, specifying priors, running MCMC inference, diagnosing convergence, or comparing models. Covers PyMC, ArviZ, pymc-bart, pymc-e...
Use when user wants to check progress or get an overview. Triggered when intention involves understanding current state of projects or work. Summarizes project status, recent activity, and pending items.
Use when user wants to review or reflect on their week. Triggered when intention involves weekly planning, retrospective, or summary. Creates weekly review note and references daily notes.
Use when user wants to start a new project or create project structure. Triggered when intention involves beginning organized work with clear goals. Creates project folder with CLAUDE.md and _index.md.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.