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Testing & security AI Skills

Discover Testing & security skills, compare source repositories and read the instructions for each workflow.

Categories: Testing & security

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GitHub

evaluation

panaversity

Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.

GitHub

nextjs-devtools

panaversity

Next.js development tooling via MCP. Inspect routes, components, build info, and debug Next.js apps. Use when working on Next.js applications, debugging routing, or inspecting app structure. NOT for general Rea...

GitHub

building-chatgpt-apps

panaversity

Guides creation of ChatGPT Apps with interactive widgets using the Apps SDK and MCP servers. Use when building ChatGPT custom apps with visual UI components, embedded widgets, or rich interactive experiences. C...

GitHub

working-with-spreadsheets

panaversity

Creates and edits Excel spreadsheets with formulas, formatting, and financial modeling standards. Use when working with .xlsx files, financial models, data analysis, or formula-heavy spreadsheets. Covers formul...

GitHub

canonical-format-checker

panaversity

This skill should be used when content teaches patterns (skills, subagents, ADRs, PHRs, specifications) that have canonical sources elsewhere. Prevents format drift by ensuring content references and follows th...

GitHub

chapter-evaluator

panaversity

Evaluate educational chapters from dual student and teacher perspectives. This skill should be used when analyzing chapter quality, identifying content gaps, or planning chapter improvements. Reads all lessons...

GitHub

pptx

panaversity

Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Addi...

GitHub

building-with-google-adk

panaversity

Use when building AI agents with Google's Agent Development Kit (ADK). Triggers include creating ADK agents, Gemini-powered agents, multi-agent workflows, MCP integration with ADK, agent evaluation, workflow ag...

GitHub

building-with-claude-agent-sdk

panaversity

Use when building AI agents with Anthropic's Claude Agent SDK (formerly Claude Code SDK). Triggers include creating autonomous agents, building agentic applications, SDK-based automation, implementing hooks/sub...

GitHub

chapter-evaluator

panaversity

Evaluate educational chapters from dual student and teacher perspectives. This skill should be used when analyzing chapter quality, identifying content gaps, or planning chapter improvements. Reads all lessons...

GitHub

prompt-template-designer

panaversity

Design reusable prompt templates that encode domain-specific patterns for recurring AI tasks. Use when you've executed similar prompts 2+ times and need to capture the pattern as reusable intelligence. NOT for...

GitHub

mit-exam-generator

panaversity

Generate rigorous MIT PhD-level qualifying examinations from Markdown/Obsidian notes. This skill should be used when users request quiz creation, exam generation, assessment materials, practice questions, or st...

GitHub

building-with-dapr

panaversity

Use when building distributed microservices with Dapr sidecar architecture. Triggers include Dapr components, service invocation, state management, pub/sub, secrets, bindings, configuration, actors, and workflo...

GitHub

content-refiner

panaversity

POST-GATE TOOL. Refine verbose content by eliminating redundancy, trimming word count, and strengthening lesson connections. Use ONLY to fix Gate 4 failures.

GitHub

summary-generator

panaversity

This skill should be used when generating lesson summaries for educational content. It extracts key concepts, mental models, patterns, and common mistakes from lesson markdown files using a Socratic extraction...

GitHub

image-generator

panaversity

Generate professional visuals using Gemini via browser automation with 6-gate quality control. Use when creating chapter illustrations, diagrams, or teaching visuals. NOT for stock photos or decorative images.

GitHub

building-nextjs-apps

panaversity

Build Next.js 16 applications with correct patterns and distinctive design. Use when creating pages, layouts, dynamic routes, upgrading from Next.js 15, or implementing proxy.ts. Covers breaking changes (async...

GitHub

nx-monorepo

panaversity

Nx monorepo management skill for AI-native development. This skill should be used when working with Nx workspaces, project graphs, affected detection, code generation, and caching. Use when analyzing dependenci...

GitHub

content-refiner

panaversity

Refine verbose educational content by eliminating redundancy, tightening prose, and strengthening lesson connections. Use when content is wordy, repetitive, or lacks narrative flow between sections.

GitHub

exercise-designer

panaversity

Designs deliberate practice exercises applying evidence-based learning strategies like retrieval practice, spaced repetition, and interleaving. Activate when educators need varied exercise types (fill-in-blank,...

GitHub

learning-objectives

panaversity

Generate measurable learning outcomes aligned with Bloom's taxonomy and CEFR proficiency levels for educational content. Use when educators need to define what students will achieve, create learning objectives...

GitHub

session-intelligence-harvester

panaversity

This skill should be used after productive sessions to extract learnings and route them to appropriate Reusable Intelligence Infrastructure (RII) components. Use when corrections were made, format drift was fix...

GitHub

skill-validator

panaversity

Validates skills against production-level criteria with 9-category scoring. This skill should be used when reviewing, auditing, or improving skills to ensure quality standards. Evaluates structure, content, use...

GitHub

building-rag-systems

panaversity

Build production RAG systems with LangChain orchestration and Qdrant vector store. Covers 8 RAG architectures (Simple, HyDE, CRAG, Self-RAG, Agentic), document processing, semantic chunking, retrieval chains, a...

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.

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