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Found 2,767 Skills
Use when user needs system design validation, architectural pattern assessment, or technology stack evaluation.
Form validation combining Zod schemas with React Hook Form, including localized error messages, Server Action integration, and shadcn/ui Form components. Use when building forms, validating user input, handling form submissions, or implementing Server Actions with validation.
Right-size scope to ship within a fixed timebox (appetite). Produces a Scoping & Cutting Pack: appetite, minimum lovable slice, cut list, validation plan, and a scope-creep guardrail plan. Use for MVP/descoping/scope creep.
pytest, data validation, Great Expectations, and quality assurance for data systems
FastAPI best practices, async patterns, and Pydantic validation
Expert knowledge for Formedible - A React form library built on TanStack Form with 22+ field types, multi-page forms, analytics, and type-safe validation
Convert vague or high-level requests into a concrete engineering plan with goals, constraints, steps, success criteria, and validation. Stop and wait for human confirmation.
Meta-skill for validating the integrity and quality of other skills. automatically checks for SKILL.md existence, script syntax errors (via Godot CLI), and metadata completeness. Use this skill to verify the entire skill library. Trigger keywords: validation, continuous_integration, quality_assurance, syntax_check, metadata_check.
Django form handling patterns including ModelForm, validation, clean methods, and HTMX form submission. Use when building forms, implementing validation, or handling form submission.
Generates hierarchical knowledge graphs via Recursive Pareto Principle for optimised schema construction. Produces four-level structures (L0 meta-graph through L3 detail-graph) where each level contains 80% fewer nodes while grounding 80% of its derivative, achieving 51% coverage from 0.8% of nodes via Pareto³ compression. Use when creating domain ontologies or knowledge architectures requiring: (1) Atomic first principles with emergent composites, (2) Pareto-optimised information density, (3) Small-world topology with validated node ratios (L1:L2 2-3:1), or (4) Bidirectional construction. Integrates with graph (η≥4 validation), abduct (refactoring), mega (SuperHyperGraphs), infranodus (gap detection). Triggers: 'schema generation', 'ontology creation', 'Pareto hierarchy', 'recursive graph', 'first principles decomposition'.
Generate Go enums following GO modular architechture conventions (string-based enums with validation, constructor, and String method). Use when creating type-safe string enumerations in internal/modules/<module>/enum/ or when user asks to create an enum, add an enum type, or define enum constants.
Define a Proof of Life (PoL) probe—a lightweight validation artifact that surfaces harsh truths before expensive development. Use it to test hypotheses with minimal investment.