Data & AI

Review architecture decisions and code changes against documented architecture principles. Use this skill before implementing new features or refactoring existing code to ensure compliance with layer boundaries, separation of concerns, and design patterns. Should be invoked when user requests "architecture review" or before making significant changes.

Build AI applications on Azure using Azure OpenAI, Cognitive Services, and ML services with enterprise patterns

Designs deliberate practice exercises applying evidence-based learning strategies like retrievalpractice, spaced repetition, and interleaving. Activate when educators need varied exercise types(fill-in-blank, debug-this, build-from-scratch, extend-code, AI-collaborative) targeting learningobjectives with appropriate difficulty progression. Creates exercise sets that apply cognitivescience principles to maximize retention and skill development. Use when designing practiceactivities for Python concepts, creating homework assignments, generating problem sets, orevaluating exercise quality.

This skill should be used when the user asks to "migrate from subgraph", "convert subgraph to hyperindex", "migrate from thegraph", "port subgraph", "convert subgraph handlers", "migrate assemblyscript to typescript", or mentions TheGraph, subgraph migration, subgraph.yaml conversion, or converting from TheGraph to Envio. For core HyperIndex development patterns, refer to the hyperindex-development skill.

ONLY trigger this skill when the user EXPLICITLY asks for MCP-based testing:**Required triggers (ALL must mention "MCP" explicitly):**- "test connector with mcp"- "test mcp connector"- "test [provider] with mcp"- "use mcp to test [provider]"- "run mcp connector test"- "mcp test for [provider]"**DO NOT trigger for:**- Generic "test the connector" requests (use stackone run / test_actions instead)- "test [provider]" without explicit MCP mention- Regular validation or testing requests- Any testing that doesn't explicitly mention MCPThis skill builds a REAL agent with Claude Agent SDK that sends natural language prompts to evaluate if action descriptions are agent-friendly. It's more intensive than regular testing and should only be used when explicitly requested.

Foundational knowledge for writing Stan 2.37 models including program structure, type system, distributions, and best practices. Use when creating or reviewing Stan models.

AI-powered content drafting, quality analysis, and optimization for presentation slides. Generates titles, bullets, speaker notes, and graphics descriptions.

Use this skill when modifying or creating pages, understanding page-specific features, layouts, and functionalities. Contains detailed information about all main pages (Educação, Recursos, Notícias, Doações).

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).

Teach Data Access Layer pattern to prevent CVE-2025-29927 middleware authentication bypass. Use when implementing authentication, authorization, protecting routes, or working with server actions that need auth.

Gene, drug compound, and disease research using NCBI Extended databases. Triggers: 基因, gene, 藥物, drug, compound, PubChem, ClinVar, 變異, variant, 臨床意義

Automated documentation generation specialist for technical specs, API docs, user guides, and knowledge bases with multi-format output

Diagnose and fix CI/CD failures related to Lint errors and test failures. Use when: (1) User mentions CI/CD failures, lint errors, or test failures, (2) User asks to fix code quality issues or make tests pass, (3) User requests to check or verify code before committing/pushing, (4) Working on a task that requires running lint or tests to validate changes. This skill provides systematic workflows for identifying, diagnosing, and fixing common Lint and test errors in TypeScript/React projects using ESLint, Prettier, and Vitest.

Session state management, runtime state tracking, session handoff protocols, and context continuity for Alfred workflows

This skill teaches the agent how to implement the data access layer in the API project. MANDATORY - You MUST read this skill before modifying any ./api repository files.

Use this skill when working on code projects that need memory persistence, code validation, multi-agent coordination, or workflow tracking. Activates Claude Code Guardian MCP tools.

Git workflow guidelines for AI agents working on this repository

Write effective tests with proper structure and coverage. Use when writing unit tests, integration tests, or improving test quality.

Use after writing-plans to decompose monolithic plan into individual task files and identify tasks that can run in parallel (up to 2 subagents simultaneously)

Memory-First development workflow integrating Serena short-term project memory and Cipher long-term design knowledge for efficient LoRAIro development