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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

docx-smart-extractor

diegocconsolini

Process Word documents (1MB-50MB+) with token optimization through local extraction and caching. Preserves formatting, tables, and document structure for policy analysis, contract review, and technical reports.

GitHub

cybersecurity-policy-generator

diegocconsolini

Generate enterprise cybersecurity policies from 51 professional templates (SANS, CIS Controls) for ISO 27001, SOC 2, NIST, and CIS Controls compliance in Markdown, Word, HTML, and PDF formats

GitHub

chrome-devtools-optimizer

diegocconsolini

Reduce token consumption by 70-80% when using Chrome DevTools MCP through smart snapshot strategies and optional Gemini Flash vision processing. Includes decision trees, pattern guides, and automated optimizati...

GitHub

gdpr-auditor

diegocconsolini

This skill should be used when analyzing codebases, applications, databases, or systems for GDPR (General Data Protection Regulation) compliance. Use this skill when users need to audit data protection practice...

GitHub

claude-guide

diegocconsolini

Navigate Claude Code documentation and get quick answers about configuration, MCP, plugins, and best practices.

GitHub

xlsx-smart-extractor

diegocconsolini

Extract and analyze Excel workbooks (1MB-50MB+) with minimal token usage through local extraction, sheet-based chunking, and persistent caching. Preserves formulas, cell formatting, and complex table structures...

GitHub

security-report-builder

diegocconsolini

Transform plugin security scanner results into professional reports (HTML, PDF, DOCX) with intelligent false positive filtering and MITRE ATT&CK/OWASP integration. Reduces false positive rate from 85-90% to und...

GitHub

spring-openspec

mduongvandinh

Spec-First Development with OpenSpec for Spring Boot. Align on specifications before implementation begins.

GitHub

spring-maven-modular

mduongvandinh

Maven Modular Architecture with profiles for optional components. Enable/disable modules like Redis, Kafka, RabbitMQ dynamically.

GitHub

spring-boot-full-stack

mduongvandinh

Complete Java Spring Boot skill set for building enterprise applications. Includes modular architecture with optional components: - PostgreSQL database with JPA/Hibernate + Flyway migration - Redis caching (opt...

GitHub

spring-tdd-mockito

mduongvandinh

TDD (Test-Driven Development) skill with Mockito for Spring Boot. Guides the Red-Green-Refactor cycle for writing tests first.

GitHub

effect-foundations

mepuka

Core Effect foundations and style for a coding agent. Use when starting an Effect task, choosing operators, or structuring a small pipeline.

GitHub

effect-sql-db

mepuka

Effect patterns for SQL databases (Drizzle/Kysely/Prisma): services, transactions, retries, streaming, and observability.

GitHub

effect-patterns-hub

mepuka

Complete catalog of 130+ Effect-TS patterns from EffectPatterns repository. Use when looking for specific implementation patterns, best practices, or real-world examples. Complements other skills with concrete,...

GitHub

effect-errors-retries

mepuka

Error modeling and recovery with TaggedError, catchTag(s), mapError, and retry schedules. Use when defining errors or adding resilience.

GitHub

effect-layers-services

mepuka

Define services, provide layers, compose dependencies, and switch live/test. Use for DI boundaries and app composition.

GitHub

effect-resources-scope

mepuka

Resource safety with acquireRelease, Effect.scoped, and finalizers. Use when opening files, sockets, servers, or external handles.

GitHub

effect-index

mepuka

Skill index and decision guide. Use to pick the right Effect Skill quickly and follow a minimal decision tree.

GitHub

effect-testing-mocking

mepuka

Testing patterns with layers, mocks, and deterministic time. Use when preparing testable services and small smoke tests.

GitHub

effect-streams-pipelines

mepuka

Stream creation, transformation, sinks, batching, and resilience. Use when building data pipelines with concurrency and backpressure.

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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