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Found 1,440 Skills
Help users run effective customer discovery conversations and extract actionable insights. Use when someone is preparing for user research, planning discovery interviews, writing interview questions, analyzing findings, validating problems, understanding customer behavior, or trying to learn what customers actually want. Triggers include mentions of "customer interviews", "user research", "discovery calls", "talking to customers", "validating ideas", "customer conversations", "problem validation", or questions about what to ask customers.
Use when you need to execute I2 (Implementation Execution) in the Spec Pack of sdlc-dev, using `{FEATURE_DIR}/implementation/plan.md` as the sole SSOT to implement in batches, run minimal validation, write back audit information, and report at batch checkpoints; stop immediately when encountering blocks or clarification items.
TanStack Form v1 - type-safe forms with Zod/Yup/Valibot validation, async validation, arrays, nested fields, React 19 Server Actions
TanStack Form v1 for Next.js 16 with Server Actions, Zod validation, and shadcn/ui integration. Use when building forms, validation, multi-step wizards, or dynamic field arrays.
Provides comprehensive code review capability for NestJS applications, analyzing controllers, services, modules, guards, interceptors, pipes, dependency injection, and database integration patterns. Use when reviewing NestJS code changes, before merging pull requests, after implementing new features, or for architecture validation. Triggers on "review NestJS code", "NestJS code review", "check my NestJS controller/service".
Form State Management, Validation & Input Patterns
NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production-ready, runs on T4 GPU.
MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on "design schema", "embed vs reference", "MongoDB data model", "schema review", "unbounded arrays", "one-to-many", "tree structure", "16MB limit", "schema validation", "JSON Schema", "time series", "schema migration", "polymorphic", "TTL", "data lifecycle", "archive", "index explosion", "unnecessary indexes", "approximation pattern", "document versioning".
Design LLM-as-Judge evaluators for subjective criteria that code-based checks cannot handle. Use when a failure mode requires interpretation (tone, faithfulness, relevance, completeness). Do NOT use when the failure mode can be checked with code (regex, schema validation, execution tests). Do NOT use when you need to validate or calibrate the judge — use validate-evaluator instead.
Develop software with validation requirements first. Emphasizes writing tests before implementation to guide design decisions.
Build, troubleshoot, and test VoltSP pipelines (Java DSL and YAML API), including runtime configuration/secrets interpolation and deployment via CLI or Kubernetes/Helm. Use when authoring pipeline definitions, environment configs, plugin extensions, or pipeline validation tests.
Create, synthesize, and iteratively improve agent skills following the Agent Skills specification. Use when asked to "create a skill", "write a skill", "synthesize sources into a skill", "improve a skill from positive/negative examples", "update a skill", or "maintain skill docs and registration". Handles source capture, depth gates, authoring, registration, and validation.