Database
Database management and queries
supabase
by Raudbjorn
Comprehensive Supabase development expert covering Edge Functions, database schema management, migrations, PostgreSQL functions, and RLS policies. Use for any Supabase development including TypeScript/Deno Edge Functions, declarative schema management, SQL formatting, migration creation, database function authoring with SECURITY INVOKER, and RLS policy implementation with auth.uid() and auth.jwt().
warehouse-optimization
by timequity
Query optimization, partitioning, clustering, and warehouse tuning.
multi-agent-research
by auldsyababua
Apply Anthropic's production multi-agent research patterns for complex research tasks. Use when research involves multiple independent dimensions, requires synthesis across many sources, or needs parallelization for speed. Includes query complexity assessment, parallel execution, progressive search refinement, thinking strategies, and findings compression.
supabase-realtime
by Raudbjorn
Comprehensive guide for implementing Supabase Realtime features with best practices, scalable patterns, and migration strategies. Use when building realtime features in Supabase applications including messaging, notifications, presence, live updates, collaborative features, or migrating from postgres_changes to broadcast. Covers client setup, database triggers with realtime.broadcast_changes, RLS authorization, naming conventions, and performance optimization.
context7
by edxeth
Fetches up-to-date third-party library documentation via the Context7 v2 REST API. Use when working with external packages and needing current API references, code examples, migration guides, or resolving package errors (stack traces, version mismatches, deprecated methods).
debug
by thoreinstein
Guide systematic debugging through hypothesis generation, evidence collection, and verification. Uses scientific method for root cause analysis.
schema-meta
by Mearman
Validate that a JSON Schema is well-formed and conforms to the JSON Schema specification. Use when the user asks to check if a schema is valid, verify schema syntax, validate schema structure, or check a JSON Schema file for errors.
convex
by weegigs
Convex backend development. Use when discussing queries, mutations, actions, schema, or Convex patterns.
understanding-db-schema
by C0ntr0lledCha0s
Deep expertise in Logseq's Datascript database schema. Auto-invokes when users ask about Logseq DB schema, Datascript attributes, built-in classes, property types, entity relationships, schema validation, or the node/block/page data model. Provides authoritative knowledge of the DB graph architecture.
better-auth
by mamba-mental
Implement authentication and authorization with Better Auth - a framework-agnostic TypeScript authentication framework. Features include email/password authentication with verification, OAuth providers (Google, GitHub, Discord, etc.), two-factor authentication (TOTP, SMS), passkeys/WebAuthn support, session management, role-based access control (RBAC), rate limiting, and database adapters. Use when adding authentication to applications, implementing OAuth flows, setting up 2FA/MFA, managing user sessions, configuring authorization rules, or building secure authentication systems for web applications.
reading-logseq-data
by C0ntr0lledCha0s
Expert in reading data from Logseq DB graphs via HTTP API or CLI. Auto-invokes when users want to fetch pages, blocks, or properties from Logseq, execute Datalog queries against their graph, search content, or retrieve backlinks and relationships. Provides the logseq-client library for operations.
schema-validate
by Mearman
Validate JSON data against a JSON Schema. Use when the user asks to validate JSON against a schema, check if JSON conforms to a schema, test JSON data validity, or verify JSON structure matches a schema definition.
investigate
by agentika-labs
Use this skill when the user asks to "investigate a bug", "trace an error", "debug this issue", "find where this error comes from", or mentions keywords related to error tracing and bug investigation.
context7
by trancong12102
Retrieve current library documentation and code examples from Context7. Use when looking up library APIs, "docs", specific library versions, or "how to use [library]". Prefer over training knowledge for library-specific questions. Do not use for general programming concepts.
JSON Manipulation Patterns
by Mearman
Use when the user needs help with path queries, JSON transformations, schema validation, or safe JSON editing workflows. Triggered by questions about JSON operations, data extraction, file merging, or validation strategies.
epic-database
by rubenpenap
Guide on Prisma, SQLite, and LiteFS for Epic Stack
bknd-local-setup
by cameronapak
Use when setting up a new Bknd project locally or configuring local development environment. Covers CLI installation, project creation, runtime adapters, config file setup, and development server options.
deepagents-hitl
by christian-bromann
Implementing human-in-the-loop approval workflows with interrupt_on parameter for sensitive tool operations in Deep Agents.
langchain-tools
by christian-bromann
Guide to using tool integrations in LangChain including pre-built toolkits, Tavily, Wikipedia, and custom tools
epic-auth
by rubenpenap
Guide on authentication, sessions, OAuth, 2FA, and passkeys for Epic Stack
aeo-strategist
by indranilbanerjee
Enterprise AEO strategist for SEO/AEO practitioners on retainer client work. Use for any AEO or AI visibility task: audits, strategy, content briefs, schema markup, query libraries, competitive displacement, monthly reports, llms.txt, roadmaps, CMO explainers, client onboarding, tracking setup, and PR targeting. Covers 12 verticals (Pharma, BFSI, Real Estate, SaaS, Retail, Healthcare, EdTech, Legal, Manufacturing, Hospitality, Automotive, Media) and 8 markets (India, US, UK, UAE, SEA, Europe, Australia, Africa). Trigger for: AEO audit, AEO strategy, content brief, schema markup, query library, competitor AEO, AI Share of Voice, monthly AEO report, llms.txt, "why isn't [brand] in AI answers", "how do I get cited by ChatGPT/Gemini/Perplexity", roadmap, new client onboarding, tracking setup, PR targets, parametric knowledge, RAG optimization, AI crawler access, or any generative engine optimization task.
sloka
by thapakrish
Detailed analysis of individual Sanskrit verses (shlokas) including anvaya (prose order), padachheda (word-by-word breakdown), chandas (meter), alankara (figures of speech), traditional commentary, and meaning. Use when a user provides a specific verse to analyze or asks to explain a particular shloka. For text-level discussions (author info, plot summaries, literary history), use sahitya instead.
querying-logseq-data
by C0ntr0lledCha0s
Expert in building Datalog queries for Logseq DB graphs. Auto-invokes when users need help writing Logseq queries, understanding Datalog syntax, optimizing query performance, or working with the Datascript query engine. Covers advanced query patterns, pull syntax, aggregations, and DB-specific query techniques.
cartesian
by askarzh
This skill should be used when the user asks to "decompose a problem", "apply Cartesian method", "break this down systematically", "reduce to first principles", "analyze from the ground up", "apply methodical doubt", or wants to process input through Cartesian Reductionism to decompose complex wholes into clear, distinct parts.