season179/ai-sdk-app
Sandbox for Vercel AI SDK experiments: tool search over a 200-tool catalog, Postgres-backed agent skills, pg-boss scheduled tasks
Sandbox for Vercel AI SDK experiments: tool search over a 200-tool catalog, Postgres-backed agent skills, pg-boss scheduled tasks
npx skills add season179/ai-sdk-appSandbox for Vercel AI SDK experiments: tool search over a 200-tool catalog, Postgres-backed agent skills, pg-boss scheduled tasks
10 specialized AI agents for GitHub Copilot — PM, Architect, DBA, UI Designer, Project Manager, Frontend, .NET, QA, DevOps — forming a structured software delivery team with defined handoffs, gate reviews, and phased workflow. Also supports Claude Code and OpenAI Codex CLI.
Agent skill for spec-driven development with AI coding agents — structured specification-first workflow (specify → plan → tasks → implement → validate) for Claude Code, Cursor, GitHub Copilot, and similar tools.
Implement secure coding practices following OWASP Top 10. Use when preventing security vulnerabilities, implementing authentication, securing APIs, or conducting security reviews. Triggers on OWASP, security, XSS, SQL injection, CSRF, authentication security, secure coding, vulnerability.
Implement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes deployments, or setting up declarative infrastructure management.
Generate a complete MCP server project in Python with tools, resources, and proper configuration
Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks "how do I query...", needs help with query syntax, or discusses finding/filtering/grouping MongoDB documents. Also use for translating SQL-like requests to MongoDB syntax. Does NOT handle Atlas Search ($search operator), vector/semantic search ($vectorSearch operator), fuzzy matching, autocomplete indexes, or relevance scoring - use search-and-ai for those. Does NOT analyze or optimize existing queries - use mongodb-query-optimizer for that. Does NOT handle aggregation pipelines that involve write operations. Requires MongoDB MCP server.