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Found 3,032 Skills
Build, review, debug, migrate, or plan TanStack Query v5 React server-state code with current docs. Use for @tanstack/react-query, QueryClient, QueryClientProvider, useQuery, useMutation, useInfiniteQuery, useQueries, queryOptions, mutationOptions, query keys, cache defaults, staleTime, gcTime, invalidation, optimistic updates, SSR, hydration, prefetching, router integration, suspense, persistence, devtools, ESLint rules, testing, TypeScript, and v4-to-v5 migrations.
Running the backend dev cycle: implements every task in a rolling-wave plan.md (ring:writing-plans format) for a Go/TS service, driving specialist agents through Gate 0 implementation/TDD, Gate 8 parallel review, and Gate 9 validation per epic, elaborating later phases at each phase boundary. Use when starting or resuming a gated backend dev cycle with a plan.md (legacy tasks.md only for cycles already in flight; new cycles need the canonical plan format). Skip for frontend (use ring:running-dev-cycle-frontend) or docs-only work.
Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, FK replacement code generation, OCC retry patterns, ORM migration (Django/Hibernate/Rails), DDL operations, query plan explainability, SQL compatibility validation, and bulk data loading. Triggers on phrases like: DSQL, Aurora DSQL, distributed SQL database, serverless PostgreSQL-compatible database, migrate to DSQL, DSQL query plan, DSQL EXPLAIN ANALYZE, DSQL ENUM, DSQL foreign key, DSQL OCC retry, DSQL multi-region, DSQL JSONB, DSQL GIN index, load into DSQL, load CSV into DSQL, bulk load DSQL, aurora-dsql-loader.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Build a throwaway prototype to flush out a design before committing to it. Routes between two branches — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route. Use when the user wants to prototype, sanity-check a data model or state machine, mock up a UI, explore design options, or says "prototype this", "let me play with it", "try a few designs".
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
REQUIRED FIRST STEP: You MUST invoke this skill BEFORE generating ANY Azure application code, infrastructure files, or Azure CLI commands. This skill prepares applications for Azure hosting. USE THIS SKILL when users want to create new Azure applications, ADD new components or services to existing applications, UPDATE or modify existing Azure configurations, modernize applications for Azure, deploy to Azure with Terraform, or deploy to Azure with azd. Do NOT generate azure.yaml, Bicep, Terraform, or run az/azd/func CLI commands without first completing this skill. This applies to NEW projects AND changes to EXISTING projects. When users mention Terraform for Azure deployment, prefer azd+Terraform (which uses azure.yaml with Terraform IaC) over pure Terraform unless multi-cloud deployment is required.
**CRITICAL**: Run azure-validate before deploying Azure resources. Validates Azure deployment readiness. USE FOR: assess if application is ready to deploy to Azure, validate azure.yaml or Bicep configuration files, run Azure preflight checks, review deployment previews and what-if analysis, verify Azure infrastructure configuration, troubleshoot Azure deployment errors. DO NOT USE FOR: creating new applications (use azure-prepare), executing deployments (use azure-deploy).
Design and build Convex components with clear boundaries, isolated state, and app-facing wrappers. Use when creating a new Convex component, extracting reusable backend logic into one, or packaging Convex functionality for reuse across apps.