Browse 138,453 skills across 70 categories. Mirrored from majiayu000/claude-skill-registry.
ALWAYS USE when configuring Polaris catalog, managing namespaces, or setting up credentials in floe-platform. Use IMMEDI...
Build consistent UI using Polaris Web Components patterns for common page layouts like index pages, detail pages, forms,...
Lightning-fast DataFrame library written in Rust for high-performance data manipulation and analysis. Use when user want...
Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory...
Polars fast DataFrame library. Use for fast data processing.
Fast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression API...
High-performance DataFrame library for fast data processing with lazy evaluation, parallel execution, and memory efficie...
研究 codex 使用 skill 生成 survey 這件事
High-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames. Overlap, nearest, merge,...
Search 2.4M+ scientific papers from PubMed Central Open Access. **When to use:** - Literature reviews (e.g., "Find pape...
ALU execution pattern for ephemeral autonomous work. Detects hooked work, enters GUPP autonomous mode, executes the assi...
Centralised authorization logic for a given Eloquent model. Policies define per-ability access control and are enforced...
Implement policy as code with OPA, Sentinel, and Kyverno. Automate policy enforcement in CI/CD and infrastructure. Use w...
Policy as Code with OPA, Kyverno, and Checkov. Use when implementing governance, compliance automation, or security poli...
Review pilot documentation and outputs for alignment with policy and governance standards. Use when assessing compliance...
Extracts and structures company policy information from PDF documents, particularly travel expense policies with destina...
Enforces policy rules for skill and agent manifests
Guide for creating Gemini CLI policy engine TOML rules. Covers rule syntax, priority tiers, conditions, and MCP wildcard...
Master REINFORCE, PPO, TRPO - direct policy optimization with trust regions
Manage corporate policy lifecycle from drafting through compliance
Policy-as-code enforcement and compliance validation using Open Policy Agent (OPA). Use when: (1) Enforcing security and...
面向基金合规与信息披露领域的制度问答任务Skill，围绕「制度问答助手」场景提供信息抽取、结构化分析与结果输出。
Answer policy questions with strict citations. Refuses to answer without sources.
Run policy-as-code checks (e.g., OPA/Conftest) based on the policy_plan. Use in Flow 2 and Flow 4.
Summarizes policy documents, regulations, and legislative materials into structured briefings with compliance insights....
PolicyEngine aggregation patterns - using adds attribute and add() function for summing variables across entities
Common analysis patterns for PolicyEngine research repositories (CRFB, newsletters, dashboards, impact studies)
PolicyEngine API - Flask REST service powering policyengine.org and programmatic access
PolicyEngine API v2 - Next-generation microservices architecture with monorepo structure
PolicyEngine React web application - the user interface at policyengine.org
Code organization patterns for PolicyEngine - variable naming conventions, folder structure, file organization
PolicyEngine code writing style guide - formula optimization, direct returns, eliminating unnecessary variables
PolicyEngine Core simulation engine - the foundation powering all PolicyEngine calculations
Testing patterns for PolicyEngine data generation pipelines (policyengine-us-data, policyengine-uk-data)
PolicyEngine visual identity - colors, fonts, logos, and branding for web apps, calculators, charts, and research
Analyze policy impacts for congressional districts and representatives' constituents. Use when the user mentions a speci...
Guidance for working with the PolicyEngine GitHub agent bot
ALWAYS USE THIS SKILL for PolicyEngine microsimulation, population-level analysis, winners/losers calculations. Triggers...
PolicyEngine parameter patterns - YAML structure, naming conventions, metadata requirements, federal/state separation
PolicyEngine period handling - converting between YEAR, MONTH definition periods and testing patterns
Using PolicyEngine programmatically via Python client or REST API
Find and reference PolicyEngine blog posts, research articles, and published analyses for evidence and proof points
PolicyEngine code review patterns - validation checklist, common issues, review standards
Advanced simulation patterns with policyengine.py - ensure(), output_dataset.data, and map_to_entity()
PolicyEngine coding standards, formatters, CI requirements, and development best practices
PolicyEngine testing patterns - YAML test structure, naming conventions, period handling, and quality standards
PolicyEngine-UK tax and benefit microsimulation patterns, situation creation, and common workflows
UK survey data enhancement - FRS with WAS imputation patterns
PolicyEngine-US tax and benefit microsimulation patterns, situation creation, and common workflows
US survey data enhancement - CPS with PUF imputation patterns and cross-repo variable workflows
PolicyEngine-US federal and state tax/benefit rules - variables, parameters, household situations. For national/state mi...
Using PolicyEngine web apps to analyze tax and benefit policy impacts - for users of policyengine.org
PolicyEngine variable patterns - variable creation, no hard-coding principle, federal/state separation, metadata standar...
PolicyEngine vectorization patterns - NumPy operations, where/select usage, avoiding scalar logic with arrays