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Found 2,503 Skills
Routes tasks to skills in skill-db and skill-library using semantic discovery. Triggers on specialized skill requirements, domain-specific tasks, or explicit skill requests. Uses skill-discovery, mcp-skillset, and skill-rag-router for semantic matching.
Use when user asks to leverage claude or claude code to do something (e.g. implement a feature design or review codes, etc). Provides non-interactive automation mode for hands-off task execution without approval prompts.
Generates comprehensive API test suites using Jest, Vitest, or Supertest from Express, Next.js, Fastify, or other API routes. Creates integration tests, contract tests, and edge case coverage. Use when users request "generate api tests", "create endpoint tests", "api test suite", or "integration tests for api".
bkend.ai platform onboarding and core concepts guide. Covers MCP setup, resource hierarchy (Org->Project->Environment), Tenant vs User model, and first project creation. Use proactively when user is new to bkend or asks about initial setup. Triggers: bkend setup, first project, bkend start, MCP connect, bkend 시작, 처음, 설정, MCP 연결, 프로젝트 생성, bkend始め方, 初期設定, MCP接続, bkend入门, 初始设置, MCP连接, configuracion bkend, primer proyecto, configuration bkend, premier projet, bkend Einrichtung, erstes Projekt, configurazione bkend, primo progetto Do NOT use for: specific database/auth/storage operations (use domain-specific skills), enterprise infrastructure (use infra-architect).
Google Cloud Platform services including GKE, Cloud Run, Cloud Storage, BigQuery, and Pub/Sub. Activate for GCP infrastructure, Google Cloud deployment, and GCP integration.
Skill for real-time traffic query and optimal self-driving route planning based on Amap. It provides real-time congestion information and fastest route recommendations by leveraging Amap Traffic Situation API and Route Planning API.
Complete Guide to Pipeline Variable Management, covering variable lifecycle (creation, initialization, update, storage, transfer, query) and variable field extension (field definition, type extension, scope, inheritance). Used when users develop variable functions, handle variable transfer, extend variable fields, or debug variable issues.
Use when "deploying ML models", "MLOps", "model serving", "feature stores", "model monitoring", or asking about "PyTorch deployment", "TensorFlow production", "RAG systems", "LLM integration", "ML infrastructure"
MANDATORY when working with geographic data, spatial queries, geometry operations, or location-based features - enforces PostGIS 3.6.1 best practices including ST_CoverageClean, SFCGAL 3D functions, and bigint topology
Design and implement visual regression testing for UI changes. Defines screenshot coverage, rendering stabilization, baseline management, and CI integration (e.g., Playwright screenshots, Percy/Chromatic). Use when UI/styling/layout changes need protection against regressions, or when adding screenshot-based tests to a web/WASM/desktop UI.
Write behavior-focused tests following Testing Trophy model with real dependencies, avoiding common anti-patterns like testing mocks and polluting production code. Use when writing new tests, reviewing test quality, or improving test coverage.
Build MCP servers in Python with FastMCP. Workflow: define tools and resources, build server, test locally, deploy to FastMCP Cloud or Docker. Use when creating MCP servers, exposing tools/resources/prompts to LLMs, building Claude integrations, or troubleshooting FastMCP module-level server, storage, lifespan, middleware, OAuth, or deployment errors.