Testing
Unit tests, integration tests, test automation
debugging
by brixtonpham
"Systematic debugging methodology with root cause analysis. Phases: investigate, hypothesize, validate, verify. Capabilities: backward call stack tracing, multi-layer validation, verification protocols, symptom analysis, regression prevention. Actions: debug, investigate, trace, analyze, validate, verify bugs. Keywords: debugging, root cause, bug fix, stack trace, error investigation, test failure, exception handling, breakpoint, logging, reproduce, isolate, regression, call stack, symptom vs cause, hypothesis testing, validation, verification protocol. Use when: encountering bugs, analyzing test failures, tracing unexpected behavior, investigating performance issues, preventing regressions, validating fixes before completion claims."
skill-creator
by aleister1102
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
superpowers-development-workflow
by tstephx
Use when building features, fixing bugs, or writing code. Enforces TDD, systematic debugging, and structured planning workflows.
mock-generation
by Protagonistss
生成测试所需的 Mock 数据与 Stub 函数。
code-change-verification
by aiagentskills
Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.
go-unit-tests
by cristiano-pacheco
Generate comprehensive Go unit tests following testify patterns and best practices. Use when creating or updating Go test files, writing test suites for structs with dependencies, testing standalone functions, working with mocks, or when asked to add test coverage for Go code.
vue-testing-best-practices
by hello-lizhihua
用于 Vue.js 测试。涵盖 Vitest、Vue Test Utils、组件测试、模拟、测试模式以及用于 E2E 测试的 Playwright。
kubernetes
by simplerick0
Kubernetes specialist focused on container orchestration, cluster management, and cloud-native deployments. Use for Kubernetes manifests, Helm charts, Kustomize overlays, network policies, and troubleshooting.
whop-app-integration
by Jpkovas
End-to-end implementation guide for adding Whop licensing to apps with a secure backend, activation flow, and webhook synchronization. Use when tasks involve Whop checkout setup, membership/license activation, validate_license integration, webhook signature verification, revocation handling, device-binding policies, or periodic license checks in Node.js, Python, iOS, or macOS apps.
e2e-testing
by avantmedialtd
E2E and visual regression testing with Playwright. Use when writing tests, running E2E tests, debugging test failures, or working with visual baselines. Contains test commands, patterns, and debugging tips.
chromadb-integration-skills
by kimasplund
Universal ChromaDB integration patterns for semantic search, persistent storage, and pattern matching across all agent types. Use when agents need to store/search large datasets, build knowledge bases, perform semantic analysis, or maintain persistent memory across sessions.
exome
by Marcisbee
This skill provides expertise in using Exome.js, a lightweight state management library for JavaScript applications. It covers creating and managing deeply nested stores, defining actions, integrating with UI frameworks like React, Vue, Svelte, and others, handling middleware, subscriptions, devtools, and best practices. Use this skill when assisting with state management in JS/TS projects, building reactive applications, or troubleshooting Exome-related code.
dbt-transformation-patterns
by TriNgo0108
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
fqe
by booyajones
Finexio Quality Engine (fqe). A unified deterministic CI gate for Finexio builds. Runs verified-against-real-CI checks across web apps, financial models, MCP servers, outbound copy, and AI agents, producing a SHA-bound receipt that branch protection requires before any "done", "ship", "merge", "ready", or "deploy" claim. Auto-fires on build intent. Use this when Chris is about to ship something, when QA is needed, when reviewing whether a change is safe to merge, or when bootstrapping a Finexio repo with the gate.
plan-b
by bohdan-shulha
Create a concise plan for coding/build tasks, especially when users say "I want to make..." or "I need to do...". Use to generate a final plan by aggregating multiple subagent plan variants, include ASCII diagrams/flows/UI mockups when possible, and follow the create-plan style (read-only scan, minimal questions).
code-upkeep
by Sylla-BV
This skill should be used when the user asks to "update docstrings", "audit docstrings", "fix docstrings", "add docstrings", "check docstrings", "Google-style docstrings", "add field descriptions", "update tests", "audit test coverage", "generate tests", "add tests", "fix tests", "write pytest tests", "check test coverage", "missing tests", "stale tests", "test this module", "add test cases", "bring code up to date", "code upkeep", "maintain code", or wants to audit and update Python docstrings or tests.
prp-generator
by Xyxy1722
Generate comprehensive Product Requirement Plans (PRPs) for feature implementation with thorough codebase analysis and external research and providing structured templates and comprehensive implementation guidance. Use when the user requests a PRP, PRD, or detailed implementation plan for a new feature. Conducts systematic research and identifies patterns.
moses-user-testing
by christopheraaronhogg
Enables Masterbuilder to conduct UX testing using artisans as user personas. After implementation, artisans embody different user types to verify the work from real-world perspectives.
justfile
by iloveitaly
"Use when writing Justfiles to understand the latest syntax, features, and best practices"
strategy-pattern-nodejs
by progmichaelkibenko
Implements the Strategy pattern in Node.js backends. Run when the user mentions strategy pattern, or when you see or need a switch on type/method, multiple behaviors under the same contract, or interchangeable algorithms—apply this skill proactively without the user naming it.
now-how
by h14h
Generate, update, or consult a project's HOW.md and domain specs — the architecture map and domain-specific documentation that tells collaborators how the codebase is organized and what they need to know beyond what the code itself shows. Use when the user wants to document the codebase architecture, create or update domain specs, write a HOW.md, map the codebase, keep documentation in sync with code changes, or when you need to understand a project's architecture before answering questions or doing work. Triggers include "now how", "document the architecture", "write specs", "update the docs", "map the codebase", "update the spec for [domain]", "create docs", "how does [X] work in this project", "check the docs first", or "use now-how".
go-integration-tests
by cristiano-pacheco
Generate comprehensive Go integration tests using testify suite patterns with real database and infrastructure dependencies. Use when creating or updating integration test files, testing use cases against real databases, verifying end-to-end flows, or when asked to add integration test coverage for Go code.
ta-kernel-butler
by cosdt
This skill should be used when the user asks about "Ascend NPU", "昇腾", "Huawei NPU", "triton-ascend", "Ascend kernel development", "NPU算子开发", "Atlas", "CANN", or mentions Ascend hardware, AI Core, Cube/Vector/Scalar units. Provides expert guidance on Ascend NPU hardware architecture, triton-ascend kernel development, and GPU to NPU migration. Always use this skill for Ascend-related questions to avoid confusion with GPU documentation and concepts.
pyspark-test-generator
by fusionet24
Generate comprehensive PySpark-based data quality validation tests for Databricks tables. Use when creating automated tests for data completeness, accuracy, consistency, and conformity, or when user mentions test generation, data validation, quality monitoring, or PySpark test frameworks.