Results for “tdddg”

Enforces strict outside-in red-green-refactor TDD with one-failure-per-turn discipline, predicting failures before every run, hardcoding minimum changes, and using triangulation and property-based testing. Triggers on explicit TDD requests and tasks phrased as 'implement', 'add', 'write a function', 'build a feature'.

Use ddgr (DuckDuckGo from the terminal) to perform privacy-focused web searches from the command line. Use when the user wants to (1) Search the web from the terminal, (2) Perform DuckDuckGo searches without opening a browser, (3) Get quick search results in text format, (4) Search privately without tracking, (5) Use DuckDuckGo bangs (!) from terminal.

Generate tests, analyze coverage, and run TDD workflows. Usage: /tdd <generate|coverage|validate> [options]

Write Django tests using pytest-django, factory_boy, and TDD, covering models, views, and DRF APIs.

Applies practical test-first and regression testing to behavior changes, bug fixes, state transitions, and public contracts.

Guides test-driven development for Django applications using pytest, factory_boy, and Django REST Framework, covering models, views, serializers, and API testing.

Strict test-first gate only when explicitly requested or required by repository policy. Do not use for ordinary practical testing.

Resolves legacy references to the tdd-guide capability by routing to the current runtime's equivalent agent, plugin, or skill.

Test-drive Django applications with pytest, factory_boy, and Django REST Framework, covering models, views, serializers, and API endpoints.

Triage a bug or issue by exploring the codebase to find root cause, then create a GitHub issue with a TDD-based fix plan. Use when user reports a bug, wants to file an issue, mentions "triage", or wants to investigate and plan a fix for a problem.

TDD Cycle

Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests for new features, bug fixes, or refactoring.

Test-Driven Development (TDD)

Write reliable, maintainable Go tests using table-driven tests, subtests, benchmarks, fuzzing, and golden files following TDD methodology.

Guides quality-first TDD for new behavior, bug fixes, and test changes. Selects the smallest test layer, proves a distinct regression risk, and runs bounded RED-GREEN-REFACTOR verification.

Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.

Extract Active Directory credentials via DCSync attacks and establish domain persistence by dumping KRBTGT, Domain Admin, and service account hashes for Golden Ticket creation.

Harness TDD

Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.

Post-execution skill crystallization and learning engine updates for WinDAGs. Runs after successful execution to update Thompson sampling parameters, track method quality, detect monster-barring, log near-miss events, and signal Kuhnian crises. Activate on "curator", "learning update", "skill crystallization", "Thompson sampling", "monster-barring", "near-miss", "Kuhnian crisis", "post-execution learning". NOT for pre-execution risk scanning (use windags-premortem), retrospective analysis (use windags-looking-back), or DAG construction (use windags-architect).

Enforces a test-first workflow for features and bug fixes, guiding the red-green-refactor cycle with verification checklists.

Select oral and injectable glucose-lowering agents for a newly diagnosed patient with type 2 diabetes using a compelling-indication hierarchy (heart failure → ASCVD → DKD → obesity) followed by glucose-pattern matching. Incorporates modern GLP-1 receptor agonists — Ozempic (semaglutide SC, T2D), Mounjaro (tirzepatide), and Wegovy/Noveltreat (semaglutide 2.4 mg, obesity). Use when a clinician asks "what drug to start for newly diagnosed T2D", "which OAD to use", "first-line diabetes medication", "SGLT2i vs GLP-1 in new T2D", or presents a newly diagnosed T2D patient needing a personalised medication plan.