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Found 155 Skills
Guided Shape Up workflow for taking projects from idea to working software. Orchestrates the /shaping and /breadboarding skills through a structured process: Frame, Shape, Breadboard, Slice, Build. Works for both greenfield (0-1) and existing projects. Use when: starting a new project or feature, planning a significant change to an existing codebase, user says "shape this", "let's shape", "shape up", or wants to go from idea to implementation with structured problem/solution separation. Proactively guides each phase and suggests next steps.
Build AI agents for real-time financial options analysis with LangGraph, ChromaDB RAG, and Polygon.io data
Automate Android screenshot capture across devices and locales using adb, Espresso/UI Automator, device framing, and gplay CLI upload. Use when building screenshot pipelines for Google Play listings.
Implement AI Coaching best practices on AnalyticDB for PostgreSQL (ADBPG): Leverage Supabase projects (training data management) + ADBPG instances with vector optimization to build RAG-driven coaching systems that guide users through domain-specific workflows, decision-making, or skill development. Use when: User wants to create Supabase projects (spb-xxx), ADBPG instances (gp-xxx), vector knowledge bases, or RAG-driven coaching systems on ADBPG. Triggers: "Supabase", "ADBPG", "vector database", "knowledge base", "RAG", "AI coaching", "coaching system", "spb-xxx", "gp-xxx"
MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends.
ADBPG Knowledge Base Management: Create knowledge bases, upload documents, search, Q&A. Triggers: "knowledge base", "document library", "document upload", "knowledge search", "RAG", "Q&A", "embedding", "ADBPG", "AnalyticDB PostgreSQL"
Comprehensive guide for Go database access. Covers parameterized queries, struct scanning, NULLable column handling, error patterns, transactions, isolation levels, SELECT FOR UPDATE, connection pool, batch processing, context propagation, and migration tooling. Use this skill whenever writing, reviewing, or debugging Golang code that interacts with PostgreSQL, MariaDB, MySQL, or SQLite. Also triggers for database testing or any question about database/sql, sqlx, pgx, or SQL queries in Golang. This skill explicitly does NOT generate database schemas or migration SQL.
Production email service with templates, queuing, and delivery tracking. Supports transactional emails, marketing campaigns, and webhooks.
Implement robust background job processing with dead letter queues, retries, and state machines. Use when building async workflows, scheduled tasks, or any work that shouldn't block the request/response cycle.
Build resilient systems that degrade gracefully under failure. Implement fallbacks, feature flags, and partial responses when dependencies fail.
Implement multi-layer caching with Redis, in-memory, and HTTP caching. Covers cache invalidation, stampede prevention, and cache-aside patterns.
Handle transient failures with exponential backoff and graceful fallbacks. Retry on network blips, fall back to cached data when services fail.