Agent Skills Hub

policyengine-review-patterns

Standardized review patterns, validation checklists, and quality benchmarks for PolicyEngine codebases.

文档分析器

Deep document structure analysis and intelligent content extraction for knowledge bases.

data-extraction-patterns

Proven patterns for extracting, caching, and processing analytics data from GA4 and GSC using MCP servers.

phase-5-validator

Automates finalization validation for project workflows by enforcing git compliance, documentation standards, and deployment readiness.

test-skill

A testing fixture for validating AI agent skill configurations and detecting rule violations.

kpi-dashboard-design

Master KPI dashboard design with proven metrics frameworks, SMART goals, and hierarchy patterns to drive business performance from executive insights to operational monitoring.

trulens-evaluation-workflow

A systematic workflow to instrument, evaluate, and monitor LLM applications using TruLens, supporting frameworks like LangChain, LangGraph, and LlamaIndex.

analytics-interpretation

Analyze GA4 and GSC performance data with automated benchmarks, status indicators, and actionable content optimization insights.

paper-notes

Generate structured, machine-readable notes for papers in a core research set to enable reliable synthesis and evidence-backed writing.

Data Optimizer Pro

A security scanner for Claude Skills to detect malicious code, data exfiltration risks, and unauthorized system access before installation.

quality-fixer

Automatically apply safe quality fixes including formatting (Black, isort), linting (Ruff auto-fixes), and resolving formatter conflicts to maintain Python code quality.

new-analyzer

Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.