Use when invalid data causes failures deep in execution, requiring validation at multiple system layers - validates at every layer data passes through to make bugs structurally impossible

Comprehensive quality assurance combining testing strategy, code quality enforcement, and validation gates. Consolidated from testing-strategist, code-quality-enforcer, and validation-gate-checker.

Conduct user research and validation. Use when discovering user needs, validating assumptions, creating personas, or understanding pain points. Covers interviews, surveys, analysis, and synthesis.

Creates high-quality technical documentation including API documentation, user guides, tutorials, architecture documents, README files, release notes, and technical specifications. Produces clear,...

Analyzes legacy COBOL programs and JCL jobs to assist with migration to modern Java applications. Extracts business logic, identifies dependencies, generates migration reports, and creates Java...

Provides comprehensive KeyCloak administration guidance including realm management, user/group administration, client configuration, authentication flows, identity brokering, authorization...

Expert backend development guidance covering Node.js, Python, Java, Go, API design (REST/GraphQL/gRPC), database patterns, authentication, caching, message queues, microservices, and testing....

Analyzes legacy JCL (Job Control Language) scripts to assist with migration to modern workflow orchestration and batch processing systems. Extracts job flows, step sequences, data dependencies,...

Query Bittensor network using the Python SDK. Get metagraph data, subnet info, validator stats, and more. Use when user asks about TAO, subnets, validators, emissions, or staking.

Credential exposure detection, OAuth flow validation, API key management testing, and data sanitization verification for n8n workflows. Use when validating n8n workflow security.

Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance. Use when testing data persistence, ensuring referential integrity, or...

Create and validate new AI agent skills. This skill provides standards, templates, and validation tools to ensure high-quality, interoperable skills across different AI agents.

Rigorous planning through three phases - Discover (explore problem space), Decide (validate each decision via consensus + FPF), Design (compile validated output). Use for complex planning with...

Chaos engineering principles, controlled failure injection, resilience testing, and system recovery validation. Use when testing distributed systems, building confidence in fault tolerance, or...

Autonomous AI coding with spec-driven development. Implements Geoffrey Huntley's iterative bash loop methodology where agents work through specs one at a time, outputting a completion signal only...

Rapid MVP development and feature prioritization for fast product validation. Use when building minimum viable products, prioritizing features, validating ideas quickly, or when users need to ship...

Reviews and validates Claude Code skill definitions for best practices, non-overlapping domains, and correct configuration. Use when creating new skills, reviewing existing skills, checking for...

Plan-spec-implement workflow for structured development. Only use when explicitly directed by user or when mentioned in project AGENTS.md file. Generates ephemeral plans in ~/.dot-agent/, applies...

Schema validation with Valibot, the modular and type-safe schema library. Use when the user needs to validate data, create schemas, parse inputs, or work with Valibot in their project. Also use...

Comprehensive security architecture combining threat modeling, security-first design, secure coding review, and compliance validation. Consolidated from threat-modeling, security-first-design,...