Testing
Unit tests, integration tests, test automation
python-logging
by narumiruna
Use when choosing or configuring Python logging, especially deciding between stdlib logging and loguru for apps or CLIs.
architecture-blueprint-generator
by github
'Comprehensive project architecture blueprint generator that analyzes codebases to create detailed architectural documentation. Automatically detects technology stacks and architectural patterns, generates visual diagrams, documents implementation patterns, and provides extensible blueprints for maintaining architectural consistency and guiding new development.'
rtk-optimizer
by FlorianBruniaux
Optimize command outputs with RTK (Rust Token Killer) for 70% token reduction
design-systems
by Mindrally
Comprehensive design system guidelines for building consistent, accessible, and scalable digital products
cpp
by Mindrally
Guidelines for modern C++ development with C++17/20 standards, memory safety, and performance optimization
migrating-dbt-project-across-platforms
by dbt-labs
Use when migrating a dbt project from one data platform or data warehouse to another (e.g., Snowflake to Databricks, Databricks to Snowflake) using dbt Fusion's real-time compilation to identify and fix SQL dialect differences.
building-dbt-semantic-layer
by dbt-labs
Use when creating or modifying dbt Semantic Layer components — semantic models, metrics, dimensions, entities, measures, or time spines. Covers MetricFlow configuration, metric types (simple, derived, cumulative, ratio, conversion), and validation for both latest and legacy YAML specs.
adjunction-algebra
by plurigrid
"Adjunctions as universal arrows. Left ⊣ Right."
ab-test-setup
by TerminalSkills
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.
artillery
by TerminalSkills
When the user wants to perform load testing or performance testing using Artillery with YAML-based scenario definitions. Also use when the user mentions "artillery," "YAML load test," "WebSocket testing," "Socket.io load test," "scenario-based load testing," or "artillery run." For JavaScript-based load testing, see k6.
auth-system-setup
by TerminalSkills
When the user wants to set up authentication and authorization for a web application. Use when the user mentions "auth," "login," "OAuth," "SSO," "single sign-on," "role-based access," "RBAC," "permissions," "user roles," "access control," "authentication," or "authorization." Covers OAuth 2.0 provider integration, session management, and role/permission architecture. For JWT-specific tasks, see jwt-handler. For security review, see security-audit.
aif-fix
by lee-to
Fix a specific bug or problem in the codebase. Supports two modes - immediate fix or plan-first. Without arguments executes existing FIX_PLAN.md. Always suggests test coverage and adds logging. Use when user says "fix bug", "debug this", "something is broken", or pastes an error message.
e2e-write-visual-test
by payloadcms
Use when writing a Playwright visual regression (screenshot comparison) test, tagging a test @visual, generating or updating baseline screenshots, running visual tests locally, or debugging a failing screenshot comparison in CI.
agent-estimation
by ZhangHanDong
Accurately estimate AI agent work effort using the agent's own operational units (tool-call rounds) instead of human time. Use when asked to estimate, scope, plan, or evaluate how long a coding task will take. Prevents the common failure mode where agents anchor to human developer timelines and massively overestimate. Outputs a structured breakdown with round counts, risk factors, and a final wallclock conversion.
argocd
by TerminalSkills
Argo CD for GitOps continuous delivery on Kubernetes. Use when the user needs to define applications declaratively, sync Kubernetes manifests from Git repositories, manage sync policies, and implement progressive delivery workflows.
api-tester
by TerminalSkills
Test REST and GraphQL API endpoints with structured assertions and reporting. Use when a user asks to test an API, hit an endpoint, check if an API works, validate a response, debug an API call, test authentication flows, or verify API contracts. Supports GET, POST, PUT, PATCH, DELETE with headers, body, auth, and response validation.
appium
by TerminalSkills
When the user wants to automate mobile app testing on iOS and Android using Appium. Also use when the user mentions "appium," "mobile automation," "iOS testing," "Android testing," "mobile WebDriver," "XCUITest," or "UiAutomator." For React Native-specific testing, see detox.
run-acceptance-tests
by hashicorp
Guide for running acceptance tests for a Terraform provider. Use this when asked to run an acceptance test or to run a test with the prefix TestAcc.
devtu-fix-tool
by mims-harvard
Fix failing ToolUniverse tools by diagnosing test failures, identifying root causes, implementing fixes, and validating solutions. Use when ToolUniverse tools fail tests, return errors, have schema validation issues, or when asked to debug or fix tools in the ToolUniverse framework.
devtu-github
by mims-harvard
GitHub workflow for ToolUniverse - push code safely by moving temp files, activating pre-commit hooks, running tests, and cleaning staged files. Use when pushing to GitHub, fixing CI failures, or cleaning up before commits.
tooluniverse-epigenomics
by mims-harvard
Production-ready genomics and epigenomics data processing for BixBench questions. Handles methylation array analysis (CpG filtering, differential methylation, age-related CpG detection, chromosome-level density), ChIP-seq peak analysis (peak calling, motif enrichment, coverage stats), ATAC-seq chromatin accessibility, multi-omics integration (expression + methylation correlation), and genome-wide statistics. Pure Python computation (pandas, scipy, numpy, pysam, statsmodels) plus ToolUniverse annotation tools (Ensembl, ENCODE, SCREEN, JASPAR, ReMap, RegulomeDB, ChIPAtlas). Supports BED, BigWig, methylation beta-value matrices, Illumina manifest files, and multi-sample clinical data. Use when processing methylation data, ChIP-seq peaks, ATAC-seq signals, or answering questions about CpG sites, differential methylation, chromatin accessibility, histone marks, or epigenomic statistics.
cypress
by Mindrally
Cypress end-to-end testing best practices for web applications, covering test structure, commands, and reliability patterns.
facility-location-problem
by kishorkukreja
When the user wants to solve facility location problems, optimize facility placement, determine optimal locations for warehouses or plants. Also use when the user mentions "FLP," "p-median problem," "uncapacitated facility location," "capacitated facility location," "UFLP," "CFLP," "warehouse placement," "site selection optimization," "facility siting," or "location-allocation problem." For hub networks, see hub-location-problem. For distribution centers, see distribution-center-network.
control-tower-design
by kishorkukreja
When the user wants to design supply chain control towers, implement visibility platforms, or establish centralized monitoring. Also use when the user mentions "control tower," "supply chain visibility," "command center," "control room," "real-time monitoring," "supply chain operations center," "visibility platform," "exception management," or "centralized control." For track-and-trace, see track-and-trace. For collaboration, see supplier-collaboration.