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Found 1,359 Skills
Complete QA, playtesting, and code quality team for game development. Use when evaluating player experience, fun factor, game feel, code quality, test coverage, refactoring, performance testing, or build validation. Covers playtesting methodologies, UX research, unit/integration/e2e testing, code review, linting, accessibility, and continuous quality assurance. Triggers on requests for testing, QA, playtesting, code review, refactoring, bug tracking, or quality validation.
AI video pipeline validator for Veo 3 feasibility, 8-second scene chunking, and shot continuity. USE WHEN: Validating screenplays for AI video generation, chunking scenes into 8-second segments, generating continuation prompts, scoring feasibility risk, or adding editing metadata. PIPELINE POSITION: screenwriter → **production-validator** → imagine/arch-v INPUT: XML from screenwriter skill (scene tags with duration, action, key_visuals) OUTPUT: Enhanced XML with validation, chunks, continuity tags, and Veo 3 prompts KEY FUNCTIONS: - Veo 3 feasibility validation with risk scoring (LOW/MEDIUM/HIGH/CRITICAL) - 8-second scene chunking with continuation prompts - Shot continuity tagging for editors - Technical optimization for AI-friendly alternatives
Comprehensive Pydantic data validation skill for customer support tech enablement - covering BaseModel, Field validation, custom validators, FastAPI integration, BaseSettings, serialization, and Pydantic V2 features
Adds schema tests and data quality validation to dbt models. Use when working with dbt tests for: (1) Adding or modifying tests in schema.yml files (2) Task mentions "test", "validate", "data quality", "unique", "not_null", or "accepted_values" (3) Ensuring data integrity - primary keys, foreign keys, relationships (4) Debugging test failures or understanding why dbt test failed Matches existing project test patterns and YAML style before adding new tests.
Comprehensive web page validation with authentication, screenshot capture, mobile testing, and enhanced error detection
Deep research and market validation for app ideas. Use when starting a new project, validating an idea, or when the user says "research my idea", "validate my app", or "help me start a new project".
Create critical business briefs through challenging dialogue that validates ideas and stress-tests assumptions. Use when user presents business ideas, wants to explore concepts, mentions starting a business, or needs business validation. Conducts realistic, skeptical conversations to expose weaknesses and creates structured business briefs in .ideas/ folder. Triggers include "I have a business idea", "business opportunity", "startup idea", or "validate this concept".
Create and validate solution design documents (SDD). Use when designing architecture, defining interfaces, documenting technical decisions, analyzing system components, or working on solution-design.md files in docs/specs/. Includes validation checklist, consistency verification, and overlap detection.
Use when FastAPI validation with Pydantic models. Use when building type-safe APIs with robust request/response validation.
Facilitate collaborative idea exploration and refinement. Guides through iterative questioning, design validation, and solution architecture before implementation.
Orchestrates single user-invocable skill across 3 parallel scenarios with synchronized state and progressive difficulty. Use when running multi-scenario demos, comparative testing, or progressive validation workflows.
Verify and validate AI output before it reaches users. Use when you need guardrails, output validation, safety checks, content filtering, fact-checking AI responses, catching hallucinations, preventing bad outputs, quality gates, or ensuring AI responses meet your standards before shipping them. Covers DSPy assertions, verification patterns, and generate-then-filter pipelines.