tribunal-kit

Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

Linting and validation principles for code quality enforcement.

Auto-evolved skill containing project-specific architectural idioms extracted from the developer's own code decisions. Generated by skill_evolution.js. Commit this file to share your Engineering Culture across the team. Every agent MUST respect these idioms above generic defaults.

Ingests test logs and identifies root causes across multiple failing test files. Provides actionable fix recommendations.

Distilled Fabel-5 cognitive intelligence protocol. Injects epistemic reasoning, coding discipline, design evaluation cascades, and orchestration patterns into any AI model. Load this skill to make any model think, reason, code, and design like Fabel-5. Activates for complex builds, code generation, design tasks, and multi-agent orchestration.

Tribunal Agent Kit thinking and cognitive reasoning rules. Helps agents structure their thoughts and follow protocols.

Encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great. Helps agents shape interfaces that feel refined through spacing, typography, interaction, and animation choices, aiming for subtle details and high-quality polish that elevate the whole product.

Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy. Default to flagging; approval is earned.

Production-grade Retrieval-Augmented Generation (RAG) mastery. Semantic chunking, Hybrid Search (Dense + Sparse/BM25), Cross-Encoder Reranking, and architecture-agnostic vector database management.

Master Agent orchestration framework. Coordination of sub-agents, workflow definitions, delegation patterns, state management across conversations, memory distillation, and execution loops. Use when assembling multi-agent systems or managing complex agent-to-agent architectures.

AI agent design principles. Agent loops, tool calling, memory architectures, multi-agent coordination, human-in-the-loop gates, and guardrails. Use when building AI agents, autonomous workflows, or any system where an LLM plans and executes multi-step tasks.

Prompt Injection and Jailbreak defense mastery. Mitigation strategies for direct injection, indirect injection via data poisoning, delimiter separation, XML framing, output validation, and LLM circuit breakers. Use when building AI systems that process untrusted user input or fetch external data.

API design mastery. REST, GraphQL, tRPC, and gRPC selection. Request/response design, pagination (cursor/offset), filtering, versioning, rate limiting, error formats (RFC 9457), authentication (JWT/OAuth2/API keys), idempotency, file uploads, webhooks, and OpenAPI documentation. Use when designing APIs, choosing protocols, or implementing API standards.

API Security auditing mastery. Rate limiting architecture, API key management, payload validation, IDOR (Insecure Direct Object Reference) prevention, mass assignment flaws, GraphQL security, and server-side mitigations. Use when building external APIs, B2B services, or reviewing endpoint security.

Project scaffolding templates for new applications. Use when creating new projects from scratch. Contains 12 templates for various tech stacks.

Application flow and wireframing mastery. Mermaid.js flowcharting, state diagrams, user journey mapping, interaction matrices, explicit screen boundary demarcation, and accessibility flow modeling. Use when planning UI architectures, designing user onboarding flows, or visualizing complex state machines before writing code.

Software architecture mastery. System design patterns, clean architecture, hexagonal/ports-and-adapters, event-driven architecture, microservices vs monolith decision framework, CQRS, domain-driven design, Architecture Decision Records (ADRs), and scalability patterns. Use when making architecture decisions, designing systems, or documenting technical decisions.

Authentication and Authorization mastery. Best practices for OAuth2, OpenID Connect, JWT (JSON Web Tokens), session management, password hashing, MFA (Multi-Factor Authentication), RBAC/ABAC, SSO, and secure credential storage. Use when auditing or implementing login flows, identity systems, or access control.

Backend security auditing for modern server-side architectures. Focuses on Next.js Server Actions, Node.js/Edge APIs, JWT & Session architectures, ORM injection (Prisma/Drizzle), and RBAC implementation.

Bash/Linux terminal mastery. Shell scripting, piping, stream redirection, process substitution, strict mode (set -euo pipefail), AWK, ripgrep parsing, and robust error handling. Use when writing CI scripts, debugging POSIX environments, or manipulating text pipelines.

AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.

Socratic methodology, ideation, and architectural exploration mastery. Generating extensive feature options, analyzing trade-offs, questioning assumptions, mind-mapping components, and delaying execution. Use when evaluating new features, defining project goals, or guiding users through ambiguous design spaces.

Browser-native AI mastery. Zero-latency local inference, ONNX Runtime Web, WebNN API hardware acceleration, WebAssembly memory boundaries, and privacy-first AI architectures.

Cross-platform Native UI mastery (React Native / Expo). Building seamless, 60fps mobile interfaces, handling safe areas, navigation architectures (Expo Router), native modules, gestures/animations (Reanimated), and platform-specific styling. Use when building React Native or Expo mobile apps.

Enterprise-grade CI/CD mastery. Golden Path - GitHub Actions + Docker + AWS ECS. 3-stage pipeline architecture (Validate→Build→Deploy), OIDC-based AWS auth (no static secrets), Blue/Green and Canary deployment with ECS, environment promotion gates (dev→staging→production), rollback playbooks, Slack notifications, and reusable workflow patterns. Use when designing or implementing production CI/CD pipelines.

Clean code mastery. Naming conventions, function design, DRY vs WET, SOLID principles with code examples, refactoring patterns, code smells detection, error handling philosophy, comments that add value, and the art of simplicity. Use when reviewing code quality, refactoring, or establishing coding standards.

Production AWS cloud architecture mastery. Service selection (ECS Fargate vs Lambda vs EC2, RDS vs Aurora vs DynamoDB), Terraform IaC patterns with HCL examples, VPC networking design, IAM least privilege, Secrets Manager, CloudWatch observability, cost optimization, and multi-environment AWS Organizations strategy. Golden Path - AWS. Use when architecting cloud infrastructure, writing Terraform, or making AWS service selection decisions.

Code review guidelines covering code quality, security, and best practices.

Configuration validation and workspace self-auditing mastery. Verifying .agent directory integrity, checking JSON schemas, resolving broken pointers to missing scripts/skills, validating environment states, and enforcing configuration constraints before execution. Use when loading settings, modifying manifests, or diagnosing system configuration rot.

Production-grade containerization mastery. Multi-stage Dockerfiles for Node.js/Python/Rust/Go, image hardening (non-root, distroless, read-only FS), BuildKit layer caching, multi-platform builds (docker buildx), Docker Compose for local dev, container security scanning (Trivy/Grype), and AWS ECR workflows. Use when containerizing applications, optimizing Docker builds, or setting up container registries.

Senior C#/.NET developer with mastery of .NET 9+, C# 13, ASP.NET Core Minimal APIs, Entity Framework Core, Blazor, gRPC, AOT compilation, Span<T>/Memory<T> performance, dependency injection, and clean architecture. Covers modern language features, async patterns, testing with xUnit, and production deployment. Use when building .NET applications, APIs, or any C# code.

Data validation and schema design mastery. Zod, Yup, Joi, Valibot, and Pydantic schema design, runtime type checking, API boundary validation, form validation patterns, DTO design, schema composition, error message formatting, schema evolution strategies, and coercion rules. Use when validating user input, API payloads, environment config, or any data crossing a trust boundary.

Database design mastery. Schema design with normalization, denormalization strategies, indexing, migration pipelines, ORM selection (Prisma/Drizzle/SQLAlchemy/EF Core), connection pooling, soft deletes, audit trails, multi-tenancy, and serverless database patterns. Use when designing schemas, choosing databases, planning migrations, or architecting data layers.

Production application deployment mastery. Zero-downtime deployment strategies (Blue/Green, Rolling updates), Container orchestration (Docker/ECS), CI/CD pipelines, secrets injection, database migration safety, health checks, and rollback contingencies. Use when moving code from development to production execution.

DevOps engineering mastery. Docker containerization, Docker Compose, CI/CD with GitHub Actions, Kubernetes basics, infrastructure as code (Terraform), monitoring/alerting, deployment strategies (blue/green, canary, rolling), secrets management, and production readiness checklists. Use when building CI/CD pipelines, containerizing apps, or managing infrastructure.

Production incident response mastery. MTTR (Mean Time to Recovery) reduction, blameless post-mortems, rapid triaging, halting systemic cascading failures, isolating problematic deployments, and evidence-based forensic analysis. Use when stabilizing broken systems, fighting active production fires, or conducting root-cause post-mortems.

Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.

Edge computing mastery. Cloudflare Workers, Vercel Edge Functions, Durable Objects, edge-compatible data patterns, cold start elimination, caching policies (Stale-While-Revalidate), and global data locality. Use when designing globally distributed, extreme low-latency applications architectures.

Error resilience and fault tolerance mastery. Retry strategies (exponential backoff with jitter), circuit breakers, bulkheads, graceful degradation, React error boundaries, dead letter queues, timeout patterns, fallback chains, and idempotent error recovery. Use when building fault-tolerant systems, handling flaky external services, or preventing cascading failures.

Design system extraction and tokenization mastery. Identifying repeated HTML/CSS patterns, extracting CSS variables, generating design tokens (colors, spacing, typography), building reusable component schemas, and standardizing ad-hoc styles into cohesive global systems. Use when refactoring messy CSS into a unified design system.