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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

test-optimization

d-o-hub

Advanced test optimization with cargo-nextest, property testing, and performance benchmarking. Use when optimizing test execution speed, implementing property-based tests, or analyzing test performance.

GitHub

episodic-memory-testing

d-o-hub

Domain-specific testing patterns for episodic memory operations. Use when testing episode lifecycle, pattern extraction, reward scoring, or memory retrieval.

GitHub

github-workflows

d-o-hub

Diagnose, fix, and optimize GitHub Actions workflows for Rust projects. Use when setting up CI/CD, troubleshooting workflow failures, optimizing build times, or ensuring best practices.

GitHub

setup

leepokai

This skill should be used when the user asks to "setup smart build", "configure build settings", "initialize smart build", "run setup", or uses the /setup command. First-time configuration for Smart Build plugi...

GitHub

settings

leepokai

This skill should be used when the user asks to "show settings", "change build settings", "switch to xcode mode", "change destination", "view config", or uses the /settings command. View or modify Smart Build c...

GitHub

smart-build

leepokai

This skill should be used when the user asks to "build the app", "run the app", "build and run", "deploy to simulator", "build this project", or uses the /build, /run, /install commands. Builds Swift/SwiftUI pr...

GitHub

create-memory

Lira-tron

Store important information, decisions, implementations, or learnings to the knowledge base. Use when preserving context, decisions, debugging solutions, or implementation details for future reference.

GitHub

create-plan

Lira-tron

Create implementation plans with requirements, design, and tasks. Use when planning new features or components. Generates three files with approval gates at each phase.

GitHub

sync-steering

Lira-tron

Sync existing steering documents from workspace .kiro/steering/ to knowledge base with Context sections. Use when steering docs already exist and need syncing to knowledge base.

GitHub

create-summary

Lira-tron

Generate comprehensive work summaries from daily notes or conversation context. Use for performance reviews, project retrospectives, or documenting completed work with timeline and impact.

GitHub

generate-steering

Lira-tron

Generate foundational steering documents (product.md, tech.md, structure.md) for current workspace by analyzing codebase. Use when starting new projects or documenting existing ones.

GitHub

mastra-agent-creation

ffMathy

Guide for creating new Mastra agents in the Hey Jarvis MCP project. Use this when asked to create a new agent or vertical.

GitHub

mastra-workflow-creation

ffMathy

Guide for creating Mastra workflows with agent-as-step and tool-as-step patterns. Use this when creating new workflows or workflow steps.

GitHub

conventional-commits

ffMathy

Commit message standards following Conventional Commits specification. Use this when writing commit messages for the Hey Jarvis project.

GitHub

boy-scout-rule

ffMathy

Always leave code better than you found it. Use this when encountering any code quality issues, even if unrelated to your current task.

GitHub

nx-monorepo-commands

ffMathy

Guide for using NX commands in the Hey Jarvis monorepo. Use this when working with any project in the repository that requires building, testing, linting, or serving.

GitHub

testing

ffMathy

Comprehensive testing requirements for all code changes. Use this to ensure tests are never skipped and all failures are fixed before completion.

GitHub

use-npm-packages

ffMathy

Always prefer well-maintained npm packages over custom implementations. Use this when considering implementing utility functions or common functionality.

GitHub

clean-code

ffMathy

Clean code principles including descriptive variable naming and YAGNI (You Aren't Gonna Need It). Use this when writing or refactoring code.

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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