grey-haven-documentation-alignment
6-phase verification system ensuring code matches documentation with automated alignment scoring (signature, type, behavior, error, example checks). Reduces onboarding friction 40%. Use when verifying code-docs...
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6-phase verification system ensuring code matches documentation with automated alignment scoring (signature, type, behavior, error, example checks). Reduces onboarding friction 40%. Use when verifying code-docs...
Implement observability and monitoring using Cloudflare Workers Analytics, wrangler tail for logs, and health checks. Use when setting up monitoring, implementing logging, configuring alerts, or debugging produ...
Grey Haven's Linear issue workflow - creating well-documented issues, proper branch naming from issue IDs, commit message integration, PR linking, and status management. Use when creating issues, starting work,...
Grey Haven's security best practices - input validation, output sanitization, multi-tenant RLS, secret management with Doppler, rate limiting, OWASP Top 10 for TanStack/FastAPI stack. Use when implementing secu...
Meta-level plugin suite auditor that uses subagents to analyze any plugin for usability improvements, missing agents, duplication, and workflow optimizations. Generates comprehensive reports with user-approved...
DevOps and infrastructure troubleshooting for Cloudflare Workers, PlanetScale PostgreSQL, and distributed systems. Use when debugging deployment issues, infrastructure problems, connection errors, or performanc...
Deploy TanStack Start applications to Cloudflare Workers/Pages with GitHub Actions, Doppler, Wrangler, database migrations, and rollback procedures. Use when deploying Grey Haven applications.
Organize Grey Haven projects following standard structures for TanStack Start (frontend) and FastAPI (backend). Use when creating new projects, organizing files, or refactoring project layout.
Production-ready monitoring, logging, and tracing using Prometheus, Grafana, OpenTelemetry, DataDog, and Sentry. Use when setting up production monitoring, implementing SLOs, distributed tracing, or performance...
Master TDD orchestration with multi-agent coordination, strict red-green-refactor enforcement, automated test generation, coverage tracking, and >90% coverage quality gates. Coordinates tdd-python, tdd-typescri...
Generate production-ready project scaffolds for Grey Haven stack with Cloudflare Workers, React + TypeScript, Python + Pydantic, PlanetScale, proper structure, and configuration. Use when starting new projects,...
AI-native issue tracking with Beads. Use when managing work items, tracking issues, or coordinating tasks in multi-agent workflows. Covers bd commands, dependencies, and sync patterns.
Manage infrastructure as code. Use when provisioning resources, managing cloud infrastructure, or setting up environments. Covers Terraform and IaC patterns.
Deploy containerized applications to AWS ECS/Fargate. Use when deploying containers to AWS, managing ECS services, or setting up Fargate tasks. Covers task definitions and ECR.
Create execution roadmaps for projects. Use when planning multi-phase projects or feature rollouts. Covers phased delivery and milestone planning.
Manage project dependencies effectively. Use when adding, updating, or auditing dependencies. Covers version management, security scanning, and lockfiles.
Deploy applications to Railway. Use when deploying services, databases, or full-stack applications to Railway PaaS. Covers Railway CLI and configuration.
Safely merge GitHub pull requests using comprehensive pre-merge validation. Use this skill when the user asks to merge a PR, complete a PR workflow, or check if a PR is ready to merge. Validates CI/CD status, r...
Auto-activates when analyzing GitHub issues to extract functional requirements, non-functional requirements, acceptance criteria, and user stories.
Auto-activates when coordinating sequential validation specialists with workflow management, dependency tracking, and overall validation status monitoring.
Analyze test coverage with detailed metrics, identify gaps, and generate comprehensive reports. Use when measuring code coverage, finding untested code, or validating coverage thresholds.
Auto-activates during requirements analysis to evaluate technical stack compatibility, recommend appropriate technologies, and assess performance implications.
Analyze project dependencies, build dependency trees, detect conflicts, and check compatibility
Auto-activates when managing agent-to-agent communication for validation failures and recursive fix cycles between validation specialists and main agent.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.