Explore AI Agent Skills & Claude Prompts

Playwright end-to-end testing standards for RedisInsight: page object models, test structure, fixtures, navigation patterns, and flaky-test prevention. Use when editing files under tests/e2e-playwright/**, writing Playwright tests, adding page objects, or when the user mentions Playwright, E2E tests, page objects, or end-to-end testing.

schedule Updated 22 days ago

frontend

React/Redux frontend development patterns for RedisInsight UI: component folder structure, styled-components, hooks, named exports, barrel files, layout components, and theme usage. Use when editing any file under redisinsight/ui/**, writing or modifying React components, Redux slices, styled-components, custom hooks, or when the user mentions UI, frontend, React, Redux, or styled-components.

git-safety

Critical safety guardrails for protected branches: never commit, push, or force-push directly to main, latest, or release branches; no destructive history rewrites without explicit user approval. Use before any git operation that touches protected branches, before force-push, reset --hard, history rewrite, or branch deletion, or whenever the user asks about merging, pushing, or release branches.

redis-insight-plugin

Use when creating, modifying, debugging, deploying, or testing Redis Insight Workbench visualization plugins, plugin manifests, package.json visualizations, activationMethod functions, redisinsight-plugin-sdk usage, Parcel/Vite plugin builds, iframe rendering, Redis command parsing, Docker RedisInsight deployment, /api/plugins verification, or Playwright plugin validation.

schedule Updated 19 days ago

type-check-baselines

Run, refresh, or recover from RedisInsight's per-project TypeScript error baselines (.tscheck.rec.json). Use when CI reports "baseline is outdated" or "more TS errors than previously recorded", when the user mentions tscheck / type-check / .tscheck.rec.json, when introducing or fixing TS errors, or when reviewing PRs that touch baseline files.

tsconfigs

Locate and modify TypeScript configuration in RedisInsight. Use when adding path aliases, introducing a new TS area, debugging webpack/ts-node/ESLint path resolution, or the user asks about tsconfig, path mappings, or where TypeScript is configured.

testing

Unit/integration testing standards for RedisInsight using Jest and Testing Library: test structure, the `renderComponent` helper, faker for test data, mocking patterns, and `waitFor` instead of fixed time waits. Use when writing or modifying any `*.spec.ts` or `*.spec.tsx` file, when adding component or slice tests, when debugging flaky tests, or when the user mentions jest, testing library, faker, or test patterns.

branches

Create and name git branches following project conventions. Use when creating branches, checking out new branches, or the user mentions branch naming.

backend

NestJS backend development patterns for the RedisInsight API: module structure, services, controllers, DTOs, dependency injection, and error handling. Use when editing any file under redisinsight/api/**, writing or modifying NestJS modules, controllers, services, DTOs, providers, or when the user mentions the backend, API, or NestJS.

feature-flags

Create, modify, and remove feature flags in RedisInsight. Use when adding a new feature flag, introducing a dev flag, promoting a dev flag to regular, cleaning up old flags, or the user mentions feature flags, feature toggles, or gating features.

schedule Updated 2 months ago

pull-requests

Create and review pull requests following project standards including title format, description template, and review checklist. Use when creating PRs, writing PR descriptions, or reviewing pull requests.

schedule Updated 3 months ago

redis-semantic-cache

star 71

Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom attributes. Use when caching LLM completions or RAG answers to cut API cost and latency, building a cache-aside layer in front of OpenAI / Anthropic / etc., tuning hit rate vs precision, or splitting one app's LLM workloads into multiple LangCache caches.