Proves

Animal — Protocol Specification

SimHacker

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local-dev-setup

mohitagw15856

"Write a local development environment setup guide for a service or project — covering prerequisites, repository setup, environment variables, local service dependencies, database seeding, running the service, running tests, common gotchas, IDE recommendations, and first-contribution checklist. Use when asked to write a dev setup guide, create onboarding documentation for engineers, document local environment setup, or write a getting-started guide for a codebase. Produces a complete setup guide that a new engineer can follow from zero to running tests in under 30 minutes, with a troubleshooting section for the most common setup failures."

python-backend

yonatangross

"Production Python async patterns including asyncio TaskGroup, FastAPI dependency injection and middleware, SQLAlchemy 2.0 async sessions, and database connection pool tuning. Python 3.11+ runtime concerns such as ExceptionGroup, cancellation semantics, and session rollback. Use when building async services, wiring FastAPI dependencies, or tuning database connection pools. Runtime implementation layer, not the API wire contract."

cover

yonatangross

"Generate tests that do not exist yet. Analyzes coverage gaps, then writes and runs new test files across three tiers (unit, integration via testcontainers, Playwright E2E), one test-generator agent per tier, healing failures for up to 3 iterations. Use when code has no tests or when raising coverage after implementation. Do NOT use to grade tests that already exist (use /ork:verify) or to run a suite without writing anything new."

domain-driven-design

yonatangross

"DDD tactical patterns for complex business modeling including entities, value objects, aggregates, domain services, repositories, specifications, and bounded contexts. Python dataclass implementations with TypeScript alternatives. Use when building rich domain models, enforcing invariants, or separating domain logic from infrastructure."

testing-patterns

yonatangross

"Redirect — testing-patterns was split into 5 focused sub-skills. Use when looking for testing-patterns, writing tests, or test automation. Redirects to testing-unit, testing-e2e, testing-integration, testing-llm, or testing-perf."

architecture-patterns

yonatangross

Architecture validation and patterns for clean architecture, backend structure enforcement, project structure validation, test standards, and context-aware sizing. Use when designing system boundaries, enforcing layered architecture, validating project structure, defining test standards, or choosing the right architecture tier for project scope.

testing-llm

yonatangross

LLM and AI testing patterns — mock responses, evaluation with DeepEval/RAGAS, structured output validation, and agentic test patterns (generator, healer, planner). Use when testing AI features, validating LLM outputs, or building evaluation pipelines.

Agent Evaluation

omer-metin

Ai Visual Effects

omer-metin

playwright-e2e-testing

fugazi

End-to-end, API, and responsive testing for web applications using Playwright with TypeScript. Use when asked to write, run, debug, or maintain Playwright (@playwright/test) TypeScript tests for UI behavior, form submissions, user flows, API validation, responsive design, or visual regression. Covers browser automation, network interception, mocking, Page Object Model, fixtures, and parallel execution.

brand-yml

posit-dev

Create and use brand.yml files for consistent branding across Shiny apps and Quarto documents. Use when working with brand styling, colors, fonts, logos, or corporate identity in Shiny or Quarto projects. Covers: (1) Creating new _brand.yml files from brand guidelines, (2) Applying brand.yml to Shiny for R apps with bslib, (3) Applying brand.yml to Shiny for Python apps with ui.Theme, (4) Using brand.yml in Quarto documents, presentations, dashboards, and PDFs, (5) Modifying existing brand.yml files, (6) Troubleshooting brand integration issues. Includes complete specifications and framework-specific integration guides.

oneshot

Melvynx

Ultra-fast feature implementation using Explore → Code → Test workflow. Use when implementing focused features, single tasks, or when speed over completeness is priority.

iguana-strategy

Senpi-ai

IGUANA v1.0.0 — XYZ Macro Index Trend. Trend-follows the broad XYZ indices xyz:SP500 + xyz:XYZ100. No stock-picking, no commodities — just the broad indices, in whichever direction has the stronger 4-day move. The simplest possible XYZ exposure, closest thing to an index-fund equivalent (but 24/7 on Hyperliquid). Onboarding tier. Balanced DSL + 48h hard_timeout for weekend pricing-gap risk.

meerkat-strategy

Senpi-ai

MEERKAT v1.0.0 — Momentum-Event Sniper. Watches the Senpi momentum-event feed (leaderboard_get_momentum_events — the 4h rolling-window momentum / rank-jump events) and snipes the freshest, highest-tier events the moment they fire, entering in the momentum direction before the move is broadly known. Tier (event magnitude) + freshness gate the entry; SM alignment + rising volume are confirmation bonuses. Distinct from the Striker / rank-jump agents (Jaguar/Orca/Roach) which score a leaderboard universe. Let-winners-run DSL with a short hard_timeout.

chameleon-strategy

Senpi-ai

CHAMELEON v1.0.0 — Relative-Value / Pairs (ratio mean-reversion). When the price ratio between two correlated assets extends far from its recent mean (high z-score ), it tends to revert. Chameleon trades the reversion via a directional bet on the high-beta leg (the runtime is single-position, so not a two-leg spread). Pairs: ETH/BTC (trade ETH), SOL/ETH (trade SOL), SOL/BTC (trade SOL). Mean-reversion DSL — tight "bank the snapback" ladder, 48h hard_timeout, weak_peak_cut.

qa-test-planner

fugazi

Generate comprehensive test plans, manual test cases, automated Playwright tests, regression test suites, and bug reports for QA Automation engineers. Includes Playwright MCP integration for browser-based test execution and validation.

Ai Ad Creative

omer-metin

implement-feature

davepoon

Implements a feature from its specification. Reads the spec, designs architecture, writes code and tests. Delegates to the Forja (Dev) agent.

feature-spec

davepoon

Creates a complete product feature specification with acceptance criteria, scope, dependencies, and risks. Delegates to the Prometeo (PM) agent.

tdd

Yeachan-Heo

Test-Driven Development enforcement skill - write tests first, always

ultrapilot

Yeachan-Heo

Parallel autopilot with file ownership partitioning

ralph

Yeachan-Heo

Self-referential loop until task completion with architect verification

deep-interview

Yeachan-Heo

Socratic deep interview with mathematical ambiguity gating before execution