Database
Database management and queries
db-conceptual-modeling
by KentoShimizu
"Conceptual data modeling workflow for domain entities, relationships, and lifecycle boundaries. Use when teams must align on domain meaning before logical/physical schema decisions; do not use for index-only or migration-only tasks."
db-normalization
by KentoShimizu
"Normalization workflow for reducing update anomalies while balancing query practicality and domain invariants. Use when schema redundancy and inconsistency risk need deliberate trade-off decisions; do not use for physical indexing-only tasks."
rag-evaluation
by latestaiagents
Test and benchmark RAG systems with proper metrics and evaluation frameworks. Use this skill when evaluating RAG quality, measuring retrieval performance, using RAGAS metrics, or building RAG test suites. Activate when: RAG evaluation, RAG testing, RAGAS, retrieval metrics, faithfulness, relevance, context precision, RAG benchmarking.
vercel-ai-sdk-v5
by horuz-ai
"Expert-level Vercel AI SDK v5 patterns for production chatbots. Use for: (1) Chat persistence with Drizzle/PostgreSQL, (2) Generative UI with typed tool parts, (3) Human-in-the-loop tool confirmations, (4) Custom data streaming with reconciliation, (5) Anthropic provider with extended thinking/reasoning, (6) Type-safe message metadata with token tracking. Covers advanced patterns only - assumes basic AI SDK knowledge. NOT for AI SDK v6."
production-rag-checklist
by latestaiagents
Deploy RAG systems to production with proper architecture, monitoring, and operations. Use this skill when deploying RAG to production, scaling retrieval systems, implementing RAG monitoring, or building enterprise RAG infrastructure. Activate when: production RAG, RAG deployment, enterprise RAG, RAG architecture, RAG monitoring, RAG scaling, RAG infrastructure, RAG ops.
effect-testing
by front-depiction
Write comprehensive tests using @effect/vitest for Effect code and vitest for pure functions. Use this skill when implementing tests for Effect-based applications, including services, layers, time-dependent effects, error handling, and property-based testing.
context-witness
by front-depiction
Decide between Context Tag witness and capability patterns for dependency injection, understanding coupling trade-offs
sql-cli
by Interstellar-code
Token-efficient MySQL/PostgreSQL operations using mycli and native CLI tools (Windows/Mac/Linux compatible). Replaces Artisan Tinker for database queries with 87% token savings.
layer-design
by front-depiction
Design and compose Effect layers for clean dependency management
service-implementation
by front-depiction
Implement Effect services as fine-grained capabilities avoiding monolithic designs
effect-ai-language-model
by front-depiction
Master the Effect AI LanguageModel service for text generation, structured output, streaming, and tool calling. Use when working with LLM interactions, schema-validated responses, or building conversational AI systems.
domain-predicates
by front-depiction
Generate comprehensive predicates and orders for domain types using typeclass patterns
effect-ai-tool
by front-depiction
Define and implement AI tools using @effect/ai's Tool and Toolkit APIs. Use when building LLM integrations with type-safe tool definitions, parameter validation, and handler implementations. Covers user-defined tools, provider-defined tools, and toolkit composition.
schema-composition
by front-depiction
Master Effect Schema composition patterns including Schema.compose vs Schema.pipe, transformations, filters, and validation. Use this skill when working with complex schema compositions, multi-step transformations, or when you need to validate and transform data through multiple stages.
domain-modeling
by front-depiction
Create production-ready Effect domain models using Schema.TaggedStruct for ADTs, Schema.Data for automatic equality, with comprehensive predicates, orders, guards, and match functions. Use when modeling domain entities, value objects, or any discriminated union types.
problem-space
by open-horizon-labs
Map what we're optimizing and what constraints we treat as real. Use before jumping to solutions, when hitting repeated blockers, or when patches keep accumulating.
robyn-config-backend-best-practices
by Lehsqa
Robyn backend scaffolding and architecture guidance for projects using robyn-config. Use when creating or evolving Robyn services, choosing DDD vs MVC, choosing SQLAlchemy vs Tortoise, adding new entities/routes/repositories with robyn-config add, auditing Robyn backend quality, or authoring and improving skill markdown for Robyn engineering workflows.
node-writing-code
by MolcajeteAI
This skill should be used when writing, reviewing, or refactoring Node.js backend code. It covers Fastify API patterns (plugins, routes, hooks), Zod validation, database access with Prisma and Drizzle, authentication and authorization (JWT, RBAC, ABAC), error handling, and Docker deployment.
exa-answer
by benjaminjackson
Generate answers to questions with structured output using AI search and synthesis. Use when you need factual answers with citations from web sources, or when you want to extract specific structured information in response to a query.
Omnigent Cloudflare Server
by hansakoch
Check query parameters: runner_id and conversation_id
bigquery
by jwmossmoz
Query Mozilla telemetry data directly from BigQuery using the bq CLI. Use when the user wants to run SQL against Firefox telemetry, analyze Windows version distribution, count DAU/MAU/WAU, query Glean metrics, or investigate user populations. Triggers on "bigquery", "bq", "telemetry query", "DAU", "MAU", "Windows distribution", "macOS distribution", "Darwin version", "Linux distribution", "kernel version", "client count", "user count", "Glean metrics query", "baseline_clients".
madai-investigator
by BenjaminG
Investigate MadAI/MadKudu support tickets from Jira or Zendesk. This skill should be used when analyzing ticket context, checking tenant health, querying knowledge bases, and producing structured investigation reports. Triggers on requests like "investigate this ticket", "look into Zendesk/Jira issue", "check tenant health", or "why is tenant X having issues".
exa-find-similar
by benjaminjackson
Find web content similar to a given URL using AI-powered similarity matching. Use when you have an example page and want to discover related articles, papers, or websites with similar content, style, or topic.
exa-context
by benjaminjackson
Get code context from repositories with examples and documentation. Use when you need code snippets, implementation examples, API usage patterns, or technical documentation for programming concepts, frameworks, or libraries.