test-mcp-compliance
Validates Model Context Protocol (MCP) compliance by running official compliance test suite against Pierre server
Browse published AI skills maintained by Async-IO. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
18Repository stars across indexed skills
288Repository forks
36Average repository stars per indexed skill
16Repository stars may repeat across skills from the same repository.
Validates Model Context Protocol (MCP) compliance by running official compliance test suite against Pierre server
Executes comprehensive test suite across unit, integration, E2E, database, protocols, and intelligence algorithms
Scans codebase for accidentally committed secrets, credentials, API keys, and sensitive data to prevent security breaches
Validates architectural patterns and code quality per CLAUDE.md, detects anti-patterns and design violations
Enforces zero-tolerance code quality policy using Clippy with strict lints, all warnings treated as errors
Validates complete data isolation between tenants, tests cross-tenant access, ensures proper query scoping
Validates database access follows repository pattern, detects god-trait regression, ensures focused repositories
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications.
Run accessibility audit on frontend components for WCAG 2.1 AA compliance
Review UI components for design system compliance, accessibility, and visual consistency
Ready-to-use UI patterns library for common scenarios - stats dashboards, data tables, forms, modals, and feedback states
Scaffold a new UI component following Pierre design system patterns
Validates error handling follows AppResult/AppError pattern, detects anyhow regression, ensures ErrorCode usage
Generates TypeScript type definitions for SDK from Rust tool schemas, ensuring type safety between server and client
Session Management Skill - manage Linear session tracking for persistent memory across conversations
Validates sports science algorithms (VDOT, TSS, TRIMP, FTP, VO2max, Recovery, Nutrition) for correctness
Creates a git worktree with branch and copies environment files (.envrc, .mcp.json)
Completes feature branch work by rebasing, pushing, monitoring CI, and squash merging to main
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.